### 2020

Combinatorial 3D shape generation via sequential assembly
NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng-2020),

Virtual-only workshop, December 12, 2020.

Virtual-only workshop, December 12, 2020.

Jungtaek Kim, Hyunsoo Chung, Jinhwi Lee, Minsu Cho, and Jaesik Park (2020),
"Combinatorial 3D shape generation via sequential assembly",
NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng-2020),
Virtual-only workshop, December 12, 2020.

cite
Fragment relation networks for geometric shape assembly
NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA-2020),

Virtual-only workshop, December 12, 2020.

Virtual-only workshop, December 12, 2020.

Jinhwi Lee*, Jungtaek Kim*, Hyunsoo Chung, Jaesik Park, and Minsu Cho (2020),
"Fragment relation networks for geometric shape assembly",
NeurIPS Workshop on Learning Meets Combinatorial Algorithms (LMCA-2020),
Virtual-only workshop, December 12, 2020.

cite
Neural complexity measures
in Advances in Neural Information Processing Systems 33 (NeurIPS-2020),

Virtual-only conference, December 6-12, 2020.

Virtual-only conference, December 6-12, 2020.

Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, and Seungjin Choi (2020),
"Neural complexity measures",
in Advances in Neural Information Processing Systems 33 (NeurIPS-2020),
Virtual-only conference, December 6-12, 2020.

cite
Bootstrapping neural processes
in Advances in Neural Information Processing Systems 33 (NeurIPS-2020),

Virtual-only conference, December 6-12, 2020.

Virtual-only conference, December 6-12, 2020.

Juho Lee*, Yoonho Lee*, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, and Yee Whye Teh (2020),
"Bootstrapping neural processes",
in Advances in Neural Information Processing Systems 33 (NeurIPS-2020),
Virtual-only conference, December 6-12, 2020.

cite
Sparse network inversion for key instance detection in multiple instance learning
in Proceedings of the 25th International Conference on Pattern Recognition (ICPR-2020),

Milan, Italy, January 10-15, 2021.

Milan, Italy, January 10-15, 2021.

Beomjo Shin, Junsu Cho, Hwanjo Yu, and Seungjin Choi (2020),
"Sparse network inversion for key instance detection in multiple instance learning",
in Proceedings of the 25th International Conference on Pattern Recognition (ICPR-2020),
Milan, Italy, January 10-15, 2021.

cite
On local optimizers of acquisition functions in Bayesian optimization
in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-2020),

Ghent, Belgium, September 14-18, 2020.

Ghent, Belgium, September 14-18, 2020.

Jungtaek Kim and Seungjin Choi (2020),
"On local optimizers of acquisition functions in Bayesian optimization",
in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD-2020),
Ghent, Belgium, September 14-18, 2020.

cite
### 2019

Forward-backward generative adversarial networks for anomaly detection
in Proceedings of the 11th Asian Conference on Machine Learning (ACML-2019),

Nagoya, Japan, November 17-19, 2019.

Nagoya, Japan, November 17-19, 2019.

Youngnam Kim and Seungjin Choi (2019),
"Forward-backward generative adversarial networks for anomaly detection,"
in Proceedings of the 11th Asian Conference on Machine Learning (ACML-2019),
Nagoya, Japan, November 17-19, 2019.

cite
Bayesian optimization over sets
ICML Workshop on Automated Machine Learning (AutoML-2019),

Long Beach, California, USA, June 14, 2019.

Long Beach, California, USA, June 14, 2019.

Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi (2019),
"Bayesian optimization over sets",
ICML Workshop on Automated Machine Learning (AutoML-2019),
Long Beach, California, USA, June 14, 2019.

cite
Set Transformer: A framework for attention-based permutation-invariant neural networks,
in Proceedings of the Thirty-Sixth International Conference on Machine Learning (ICML-2019),

Long Beach, California, USA, June 9-15, 2019.

Long Beach, California, USA, June 9-15, 2019.

Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh (2019),
"Set transformer: A framework for attention-based permutation-invariant neural networks,"
in Proceedings of the Thirty-Sixth International Conference on Machine Learning (ICML-2019),
Long Beach, California, USA, June 9-15, 2019.

cite
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure,
in Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS-2019),

Naha, Okinawa, Japan, April 16-18, 2019. (oral)

Naha, Okinawa, Japan, April 16-18, 2019. (oral)

Juho Lee, Lancelot James, Seungjin Choi, and François Caron (2019),
"A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure,"
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS-2019),
Naha, Okinawa, Japan, April 16-18, 2019. (oral)

cite
### 2018

Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace,
in Proceedings of the Thirty-Fifth International Conference on Machine Learning (ICML-2018),

Stockholm, Sweden, July 10-15, 2018.

Stockholm, Sweden, July 10-15, 2018.

Yoonho Lee and Seungjin Choi (2018),
"Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace,"
in Proceedings of the Thirty-Fifth International Conference on Machine Learning (ICML-2018),
Stockholm, Sweden, July 10-15, 2018.

cite
Clustering-guided GP-UCB for Bayesian optimization,
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),

Calgary, Alberta, Canada, April 15-20, 2018.

Calgary, Alberta, Canada, April 15-20, 2018.

Jungtaek Kim and Seungjin Choi (2018),
"Clustering-guided GP-UCB for Bayesian optimization,"
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),
Calgary, Alberta, Canada, April 15-20, 2018.

cite
Open set recognition by regularizing classifier with fake data generated by generative adversarial networks,
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),

Calgary, Alberta, Canada, April 15-20, 2018.

Calgary, Alberta, Canada, April 15-20, 2018.

Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, and Seungjin Choi (2018),
"Open set recognition by regularizing classifier with fake data generated by generative adversarial networks,"
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2018),
Calgary, Alberta, Canada, April 15-20, 2018.

cite
On the optimal bit complexity of circulant binary embedding,
in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018),

New Orleans, Louisiana, USA, February 2-7, 2018.

New Orleans, Louisiana, USA, February 2-7, 2018.

Saehoon Kim, Jungtaek Kim, and Seungjin Choi (2018),
"On the optimal bit complexity of circulant binary embedding,"
in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-2018),
New Orleans, Louisiana, USA, February 2-7, 2018.

cite
### 2017

Learning to transfer initialization for Bayesian hyperparameter optimization
NIPS 2017 Workshop on Bayesian Optimization

December 9, 2017.

December 9, 2017.

Jungtaek Kim, Saehoon Kim, and Seungjin Choi (2017),
"Learning to transfer initialization for Bayesian hyperparameter optimization,"
NIPS 2017 Workshop on Bayesian Optimization,
December 9, 2017.

cite
Bayesian inference on random simple graphs with power law degree distributions
in Proceedings of the Thirty-fourth International Conference on Machine Learning (ICML-2017)

Sydney, Austrailia, August 6-11, 2017. (to be appeared)

Sydney, Austrailia, August 6-11, 2017. (to be appeared)

Juho Lee, Creighton Heaukulani, Zoubin Ghahramani, Lancelot James, and Seungjin Choi (2017),
"Bayesian inference on random simple graphs with power law degree distributions,"
in Proceedings of the Thirty-fourth International Conference on Machine Learning (ICML-2017),
Sydney, Austrailia,
August 6-11, 2017.

cite
Binary embedding with additive homogeneous kernels
in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017),

San Francisco, California, USA, February 4-9, 2017.

San Francisco, California, USA, February 4-9, 2017.

Saehoon Kim and Seungjin Choi (2017),
"Binary embedding with additive homogeneous kernels,"
in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-2017),
San Francisco, California, USA, February 4-9, 2017.

cite
### 2016

Finite-dimensional BFRY priors and variational Bayesian inference for power law models
in Advances in Neural Information Processing Systems 29 (NIPS-2016),

Barcelona, Spain, December 5-10, 2016.

(acceptance rate = 22.7%)

Barcelona, Spain, December 5-10, 2016.

(acceptance rate = 22.7%)

Juho Lee, Lancelot F. James, and Seungjin Choi (2016),
"Finite-dimensional BFRY priors and variational Bayesian inference for power law models,"
in Advances in Neural Information Processing Systems 29 (NIPS-2016),
Barcelona, Spain, December 5-10, 2016.
(acceptance rate = 22.7%)

cite
Frequency detection for SSVEP-based BCI using deep canonical correlation analysis
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC-2016),

Budapest, Hungary, October 9-12, 2016.

Budapest, Hungary, October 9-12, 2016.

Hahn Vu, Bonkon Koo, and Seungjin Choi (2016),
"Frequency detection for SSVEP-based BCI using deep canonical correlation analysis,"
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC-2016),
Budapest, Hungary, October 9-12, 2016.

cite
Echo-state conditional variational auto-encoder for anomaly detection
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),

Vancouver, Canada, July 24-29, 2016.

Vancouver, Canada, July 24-29, 2016.

Suwon Suh, Daniel Chae, Hyon-Goo Kang, and Seungjin Choi (2016),
"Echo-state conditional variational auto-encoder for anomaly detection,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),
Vancouver, Canada, July 24-29, 2016.

cite
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),

Vancouver, Canada, July 24-29, 2016.

Vancouver, Canada, July 24-29, 2016.

Sojeong Ha and Seungjin Choi (2016),
"Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),
Vancouver, Canada, July 24-29, 2016.

cite
Learning to select pre-trained deep representations with Bayesian evidence framework
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2016),

Las Vegas, Nevada, USA, June 27-30, 2016.

(Oral Presentation)

Las Vegas, Nevada, USA, June 27-30, 2016.

(Oral Presentation)

Yong-Deok Kim, Taewoong Jang, Bohyung Han, and Seungjin Choi (2016),
"Learning to select pre-trained deep representations with Bayesian evidence framework,"
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2016),
Las Vegas, Nevada, USA, June 27-30, 2016.

cite
Two-dimensional correlated topic models
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2016),

Shanghai, China, March 20-25, 2016.

Shanghai, China, March 20-25, 2016.

Suwon Suh and Seungjin Choi (2016),
"Two-dimensional correlated topic models,"
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2016),
Shanghai, China, March 20-25, 2016.

cite
Motor imagery detection with wavelet analysis for NIRS-based BCI
in Proceedings of the IEEE Winter Conference on Brain Computer Interface,

Yongpyoung Resort, Korea, February 22-24, 2016.

Yongpyoung Resort, Korea, February 22-24, 2016.

Bonkon Koo, Hanh Thi Vu, Hwan-Gon Lee, Hyung-Cheul Shin, and Seungjin Choi (2015),
"Motor imagery detection with wavelet analysis for NIRS-based BCI,"
in Proceedings of the IEEE Winter Conference on Brain Computer Interface,
Yongpyoung Resort, Korea, February 22-24, 2016.

cite
### 2015

Tree-guided MCMC inference for normalized random measure mixture models
in Advances in Neural Information Processing Systems 28 (NIPS-2015),

Montreal, Canada, December 7-12, 2015.

Montreal, Canada, December 7-12, 2015.

Juho Lee and Seungjin Choi (2015),
"Tree-guided MCMC inference for normalized random measure mixture models,"
in Advances in Neural Information Processing Systems 28 (NIPS-2015),
Montreal, Canada, December 7-12, 2015.

cite
Multi-modal convolutional neural networks for activity recognition
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC-2015),

Hong Kong, October 9-12, 2015.

Hong Kong, October 9-12, 2015.

Sojeong Ha and Seungjin Choi (2015),
"Multi-modal convolutional neural networks for activity recognition,"
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC-2015),
Hong Kong, October 9-12, 2015.

cite
Pseudo-supervised latent Dirichlet allocation for image annotation
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC-2015),

Hong Kong, October 9-12, 2015.

Hong Kong, October 9-12, 2015.

Huong Thi Pham and Seungjin Choi (2015),
"Pseudo-supervised latent Dirichlet allocation for image annotation,"
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC-2015),
Hong Kong, October 9-12, 2015.

cite
Immersive BCI with SSVEP in VR head-mounted display
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2015),

Milan, Italy, August 25-29, 2015.

Milan, Italy, August 25-29, 2015.

Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, and Seungjin Choi (2015),
"Immersive BCI with SSVEP in VR head-mounted display,"
in Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2015),
Milan, Italy, August 25-29, 2015.

cite
Bilinear random projections for locality-sensitive binary embedding
Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2015),

Boston, Massachusetts, USA, June 7-12, 2015.

Boston, Massachusetts, USA, June 7-12, 2015.

Saehoon Kim and Seungjin Choi (2015),
"Bilinear random projections for locality-sensitive binary embedding,"
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2015),
Boston, Massachusetts, USA, June 7-12, 2015.

cite
Bayesian hierarchical clustering with exponential family: Small-variance asymptotics and reducibility
Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS-2015),

San Diego, California, USA, May 9-12, 2015.

(acceptance rate = 118/442 = 26.7%)

San Diego, California, USA, May 9-12, 2015.

(acceptance rate = 118/442 = 26.7%)

Juho Lee and Seungjin Choi (2015),
"Bayesian hierarchical clustering with exponential family: Small-variance asymptotics and reducibility,"
in Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS-2015),
San Diego, California, USA, May 9-12, 2015.

cite
Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search
Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

(acceptance rate = 39/238=16.4%)

(Best paper runnerup award)

Shanghai, China, February 2-6, 2015.

(acceptance rate = 39/238=16.4%)

(Best paper runnerup award)

Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, and Seungjin Choi (2015),

"Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search,"

in Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

cite
"Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search,"

in Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

Near-duplicate image discovery on one billion images
Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

(acceptance rate = 156/425=36.7%)

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

(acceptance rate = 156/425=36.7%)

Saehoon Kim, Xin-Jing Wang, Lei Zhang, and Seungjin Choi (2015),

"Near-duplicate image discovery on one billion images,"

in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

cite
"Near-duplicate image discovery on one billion images,"

in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

### 2014

Bayesian binomial mixture model for collaborative prediction with non-random missing data
Proceedings of the 8th ACM Conference on Recommender Systems (RecSys-2014),

Foster City, Silicon Valley, USA, October 6-10, 2014. (oral)

(acceptance rate = 23%)

Foster City, Silicon Valley, USA, October 6-10, 2014. (oral)

(acceptance rate = 23%)

Yong-Deok Kim and Seungjin Choi (2014),
"Bayesian binomial mixture model for collaborative prediction with non-random missing data,"
in Proceedings of the 8th ACM Conference on Recommender Systems (RecSys-2014),
Foster City, Silicon Valley, USA, October 6-10, 2014.

cite
Language-related glossokinetic potentials on scalp
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC-2014),

San Diego, CA, USA, October 5-8, 2014.

San Diego, CA, USA, October 5-8, 2014.

Yunjun Nam, Bonkon Koo, and Seungjin Choi (2014),
"Language-related glossokinetic potentials on scalp,"
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC-2014),
San Diego, CA, USA, October 5-8, 2014.

cite
TEMPI: Probabilistic modeling Time-Evolving differential PPI networks with MultiPle Information
Proceedings of the Thirteenth European Conference on Computational Biology (ECCB-2014)

Strasbourg, France, September 7-10, 2014.

(acceptance rate = 40/270 = 14.8%)

Strasbourg, France, September 7-10, 2014.

(acceptance rate = 40/270 = 14.8%)

Yongsoo Kim, Jin-Hyeok Jang, Daehee Hwang, and Seungjin Choi (2014),
"TEMPI: Probabilistic modeling Time-Evolving differential PPI networks with MultiPle Information,"
in Proceedings of the Thirteenth European Conference on Computational Biology (ECCB-2014),
Strasbourg, France, September 7-10, 2014.

cite
Semi-supervised learning on bi-relational graphs for image annotation
Proceedings of the Twenty-Second International Conference on Pattern Recognition (ICPR-2014),

Stockholm, Sweden, August 24-28, 2014.

Stockholm, Sweden, August 24-28, 2014.

Hein Duy Pham, Kye-Hyeon Kim, and Seungjin Choi (2014),
"Semi-supervised learning on bi-relational graphs for image annotation,"
in Proceedings of the Twenty-Second International Conference on Pattern Recognition (ICPR-2014),
Stockholm, Sweden, August 24-28, 2014.

cite
Dependent stochastic blockmodels
Proceedings of the International Joint Conference on Neural Networks (IJCNN-2014),

Beijing, China, July 6-11, 2014.

Beijing, China, July 6-11, 2014.

Eunsil Gim, Sojeong Ha, and Seungjin Choi (2014),
"Dependent stochastic blockmodels,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2014),
Beijing, China, July 6-11, 2014.

cite
Learning features with structure-adapting multi-view exponential family harmoniums
Proceedings of the International Joint Conference on Neural Networks (IJCNN-2014),

Beijing, China, July 6-11, 2014.

Beijing, China, July 6-11, 2014.

Yoonseop Kang, Taewoong Jang, and Seungjin Choi (2014),
"Learning features with structure-adapting multi-view exponential family harmoniums,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2014),
Beijing, China, July 6-11, 2014.

cite
Supervised multi-modal topic model for image annotation
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2014),

Florence, Italy, May 4-9, 2014.

Florence, Italy, May 4-9, 2014.

Thu Hoai Tran and Seungjin Choi (2014),
"Supervised multi-modal topic model for image annotation,"
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2014),
Florence, Italy, May 4-9, 2014.

cite
Incremental tree-based inference with dependent normalized random measures
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS-2014)

Reykjavik, Iceland, April 22-25, 2014.

(acceptance rate = 120/335 = 35.8%)

Reykjavik, Iceland, April 22-25, 2014.

(acceptance rate = 120/335 = 35.8%)

Juho Lee and Seungjin Choi (2014), "Incremental tree-based inference with dependent normalized random measures," in Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS-2014)
Reykjavik, Iceland, April 22-25, 2014.

cite
Scalable variational Bayesian matrix factorization with side information
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS-2014)

Reykjavik, Iceland, April 22-25, 2014.

(acceptance rate = 120/335 = 35.8%)

Reykjavik, Iceland, April 22-25, 2014.

(acceptance rate = 120/335 = 35.8%)

Yong-Deok Kim and Seungjin Choi (2014), "Scalable variational Bayesian matrix factorization with side information," in Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (AISTATS-2014)Reykjavik, Iceland, April 22-25, 2014.

cite
Convex optimization for binary classifier aggregation in multiclass problems
Proceedings of the SIAM International Conference on Data Mining(SDM-2014), Philadelphia, Pennsylvania, USA, April 24-26, 2014.

Sunho Park, Tae Hyun Hwang, and Seungjin Choi (2014), "Convex optimization for binary classifier aggregation in multiclass problems," in Proceedings of the SIAM International Conference on Data Mining(SDM-2014), Philadelphia, Pennsylvania, USA, April 24-26, 2014.

cite
Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand
Proceedings of the Second IEEE International Winter Workshop on Brain-Computer Interface,

High1 Resort, Korea, February 17-19, 2014.

High1 Resort, Korea, February 17-19, 2014.

Yunjun Nam, Bonkon Koo, and Seungjin Choi (2014),
"Spatial patterns of SSSEP under the selective attention to tactile stimuli in each hand,"
in Proceedings of the Second IEEE International Winter Workshop on Brain-Computer Interface,
High1 Resort, Korea, February 17-19, 2014.

cite
A hybrid EOG-P300 BCI with dual monitors
Proceedings of the Second IEEE International Winter Workshop on Brain-Computer Interface,
High1 Resort, Korea, February 17-19, 2014.

Bonkon Koo, Yunjun Nam, and Seungjin Choi (2014),
"A hybrid EOG-P300 BCI with dual monitors,"
in Proceedings of the Second IEEE International Winter Workshop on Brain-Computer Interface,
High1 Resort, Korea, February 17-19, 2014.

cite
### 2013

Scalable variational Bayesian matrix factorization
Proceedings of the First Workshop on Large-Scale Recommender Systems (LSRS-2013), Hong Kong, October 13, 2013.

Yong-Deok Kim and Seungjin Choi (2013), "Scalable variational Bayesian matrix factorization," in Proceedings of the First Workshop on Large-Scale Recommender Systems (LSRS-2013), Hong Kong, October 13, 2013.

cite
Hierarchical Bayesian matrix factorization with side information
Proceedings of the Twenty-Third International Joint Conferenceon Artificial Intelligence (IJCAI-2013), Beijing, China, August 3-9, 2013. (acceptance rate = 413/1473=28%)

Sunho Park, Yong-Deok Kim, and Seungjin Choi (2013), "Hierarchical Bayesian matrix factorization with side information," in Proceedings of the Twenty-Third International Joint Conferenceon Artificial Intelligence (IJCAI-2013), Beijing, China, August 3-9, 2013. (acceptance rate = 413/1473=28%)

cite
Walking on minimax paths for k-NN search
Proceedings of the Twenty-Seventh AAAI Conference onArtificial Intelligence (AAAI-2013), Bellevue, Washington, USA, July 16-18, 2013. (acceptance rate = 203/690=29%)

Kye-Hyeon Kim and Seungjin Choi (2013), "Walking on minimax paths for k-NN search," in Proceedings of the Twenty-Seventh AAAI Conference onArtificial Intelligence (AAAI-2013), Bellevue, Washington, USA, July 16-18, 2013. (acceptance rate = 203/690=29%)

cite
Common spatial patterns for steady-state somatosensory evoked potentials
Proceedings of the Thirty-Fifth Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society (EMBC-2013), Osaka, Japan, July 3-7, 2013.

Yunjun Nam, Andrzej Cichocki, and Seungjin Choi (2013), "Common spatial patterns for steady-state somatosensory evoked potentials," in Proceedings of the Thirty-Fifth Annual International Conferenceof the IEEE Engineering in Medicine and Biology Society (EMBC-2013), Osaka, Japan, July 3-7, 2013.

cite
Online multi-label learning with accelerated nonsmooth stochasticgradient descent
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

Sunho Park and Seungjin Choi (2013), "Online multi-label learning with accelerated nonsmooth stochasticgradient descent," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

cite
Multi-view anchor graph hashing
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

Saehoon Kim and Seungjin Choi (2013), "Multi-view anchor graph hashing," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

cite
Bayesian multi-subject common spatial patterns with Indian Buffet process priors
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

Hyohyeong Kang and Seungjin Choi (2013), "Bayesian multi-subject common spatial patterns with Indian Buffet process priors," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2013), Vancouver, Canada, May 28-31, 2013.

cite
Effective evaluation measures for subspace clustering of data streams
Proceedings of the Third Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models(QIMIE-2013), Gold Coast, Australia, April 14, 2013.

Marwan Hassani, Yunsu Kim, Seungjin Choi, and Thomas Seidl(2013), "Effective evaluation measures for subspace clustering of data streams," in Proceedings of the Third Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models(QIMIE-2013), Gold Coast, Australia, April 14, 2013.

cite
Robust part-based face matching with multiple templates
Proceedings of the Tenth IEEE International Conference on Automatic Face and Gesture Recognition (FG-2013), Shanghai, China, April 22-26, 2013. (acceptance rate = 35%)

Kye-Hyeon Kim, Cha Zhang, Zhengyou Zhang, and Seungjin Choi (2013), "Robust part-based face matching with multiple templates," in Proceedings of the Tenth IEEE International Conference on Automatic Face and Gesture Recognition (FG-2013), Shanghai, China, April 22-26, 2013. (acceptance rate = 35%)

cite
### 2012

Hashing with generalized Nystrom approximation
Proceedings of the IEEE International Conference on Data Mining (ICDM-2012), Brussels, Belgium, December 10-13, 2012.

Jeong-Min Yun, Saehoon Kim, and Seungjin Choi (2012), "Hashing with generalized Nystrom approximation," in Proceedings of the IEEE International Conference on Data Mining (ICDM-2012), Brussels, Belgium, December 10-13, 2012.

cite
Deep learning to hash with multiple representations
Proceedings of the IEEE International Conference on Data Mining (ICDM-2012), Brussels, Belgium, December 10-13, 2012.

Yoonseop Kang, Saehoon Kim, and Seungjin Choi (2012), "Deep learning to hash with multiple representations," in Proceedings of the IEEE International Conference on Data Mining (ICDM-2012), Brussels, Belgium, December 10-13, 2012.

cite
Self-labeling for P300 detection
Proceedings of the IEEE International Conference on Systems, Man,and Cybernectics (SMC-2012), Seoul, Korea, October 14-17, 2012.

Sangmin Lee, Yunjun Nam, and Seungjin Choi (2012), "Self-labeling for P300 detection," in Proceedings of the IEEE International Conference on Systems, Man,and Cybernectics (SMC-2012), Seoul, Korea, October 14-17, 2012.

cite
On-line video segmentation by Bayesian split-merge clustering
Proceedings of the 12th European Conference on Computer Vision (ECCV-2012),

Juho Lee, Suha Kwak, Bohyung Han and Seungjin Choi (2012), "On-line video segmentation by Bayesian split-merge clustering," in Proceedings of the 12th European Conference on Computer Vision (ECCV-2012),

cite
Sequential spectral learning to hash with multiple representations
Proceedings of the 12th European Conference on Computer Vision (ECCV-2012),

Saehoon Kim, Yoonseop Kang and Seungjin Choi (2012), "Sequential spectral learning to hash with multiple representations," in Proceedings of the 12th European Conference on Computer Vision (ECCV-2012),

cite
Bayesian common spatial patterns with Pitman-Yor process priors
Proceedings of the Twentieth European Signal Processing Conference(EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012.

Hyohyeong Kang and Seungjin Choi (2012),"Bayesian common spatial patterns with Pitman-Yor process priors," in Proceedings of the Twentieth European Signal Processing Conference(EUSIPCO-2012), Bucharest, Romania, August 27-31, 2012.

cite
Probabilistic models for common spatial patterns: Parameter-expanded EM and variational Bayes
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2012), Toronto, Canada, July 22-26, 2012. (oral)(acceptance rate = 26%)

Hyohyeong Kang and Seungjin Choi (2012),"Probabilistic models for common spatial patterns: Parameter-expanded EM and variational Bayes," in Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2012), Toronto, Canada, July 22-26, 2012. (oral)(acceptance rate = 26%)

cite
Bayesian common spatial patterns with Dirichlet process priorsfor multi-subject EEG classification
Proceedings of the International Joint Conference on Neural Networks(IJCNN-2012), Brisbane, Australia, June 10-15, 2012. (oral)

Hyohyeong Kang and Seungjin Choi (2012), "Bayesian common spatial patterns with Dirichlet process priorsfor multi-subject EEG classification," in Proceedings of the International Joint Conference on Neural Networks(IJCNN-2012), Brisbane, Australia, June 10-15, 2012. (oral)

cite
Hierarchical variational Bayesian matrix co-factorization
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2012), Kyoto, Japan, March 25-30, 2012. (oral)

Jiho Yoo and Seungjin Choi (2011),"Hierarchical variational Bayesian matrix co-factorization," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2012), Kyoto, Japan, March 25-30, 2012. (oral)

cite
### 2011

Semi-supervised discriminant hashing
Proceedings of the Eleventh IEEE International Conference on Data Mining(ICDM-2011), (acceptance rate=18%)

Saehoon Kim and Seungjin Choi (2011), "Semi-supervised discriminant hashing," in Proceedings of the Eleventh IEEE International Conference on Data Mining(ICDM-2011), (acceptance rate=18%)

cite
Patch-based Markov random fields for fast face occlusion recovery
Proceedings of the IEEE International Workshop onMachine Learning for Signal Processing (MLSP-2011),

Jeong-Min Yun and Seungjin Choi (2011), "Patch-based Markov random fields for fast face occlusion recovery," in Proceedings of the IEEE International Workshop onMachine Learning for Signal Processing (MLSP-2011),

cite
Restricted deep belief networks for multi-view learning
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD-2011), (acceptance rate = 20%)

Yoonseop Kang and Seungjin Choi (2011),"Restricted deep belief networks for multi-view learning," in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD-2011), (acceptance rate = 20%)

cite
Bayesian matrix co-factorization:Variational algorithm and Cramer-Rao bound
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD-2011), (acceptance rate = 20%)

Jiho Yoo and Seungjin Choi (2011), "Bayesian matrix co-factorization:Variational algorithm and Cramer-Rao bound," in Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD-2011), (acceptance rate = 20%)

cite
Matrix co-factorization on compressed sensing
Proceedings of the Twenty-Second International Joint Conference onArtificial Intelligence (IJCAI-2011), (acceptance rate = 400/1325 = 30%)

Jiho Yoo and Seungjin Choi (2011), "Matrix co-factorization on compressed sensing," in Proceedings of the Twenty-Second International Joint Conference onArtificial Intelligence (IJCAI-2011), (acceptance rate = 400/1325 = 30%)

cite
Geometric programming for classifier aggregation
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2011),

Sunho Park and Seungjin Choi (2011), "Geometric programming for classifier aggregation," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2011),

cite
Multiple kernel nonnegative matrix factorization
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2011).

Shounan An, Jeong-Min Yun, and Seungjin Choi (2011), "Multiple kernel nonnegative matrix factorization," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2011).

cite
Bayesian multi-task learning for common spatial patterns
Proceedings of the IEEE International Workshop on Pattern Recognitionin NeuroImaging (PRNI-2011),

Hyohyeong Kang and Seungjin Choi (2011), "Bayesian multi-task learning for common spatial patterns," in Proceedings of the IEEE International Workshop on Pattern Recognitionin NeuroImaging (PRNI-2011),

cite
### 2010

Bayesian aggregation of binary classifiers
Proceedings of the Tenth IEEE International Conference on Data Mining (ICDM-2010), Sydney, Australia, December 14-17, 2010.( acceptance rate = 72/797 = 9% for regular papers)

Sunho Park and Seungjin Choi (2010),"Bayesian aggregation of binary classifiers,"in Proceedings of the Tenth IEEE International Conference on Data Mining (ICDM-2010), Sydney, Australia, December 14-17, 2010.( acceptance rate = 72/797 = 9% for regular papers)

cite
A tongue-machine interface: Detection of tongue positions by glossokinetic potentials
Proceedings of the International Conference on Neural Information Processing (ICONIP-2010), Sydney, Australia, November 22-25, 2010.( APNNA Best Paper Award )

Yunjun Nam, Qibin Zhao, Andrzej Cichocki, and Seungjin Choi (2010),"A tongue-machine interface: Detection of tongue positions by glossokinetic potentials,"in Proceedings of the International Conference on Neural Information Processing (ICONIP-2010), Sydney, Australia, November 22-25, 2010.( "APNNA Best Paper Award" )

cite
Mind flipper: An EEG-based brain computer interface for page-turning during presentation
Proceedings of the International Conference on Neural Information Processing (ICONIP-2010), Sydney, Australia, November 22-25, 2010.( will be available )

Yunjun Nam, Hyohyeong Kang, Qibin Zhao, Andrzej Cichocki, and Seungjin Choi (2010),"Mind flipper: An EEG-based brain computer interface for page-turning during presentation,"in Proceedings of the International Conference on Neural Information Processing (ICONIP-2010), Sydney, Australia, November 22-25, 2010.( "will be available" )

cite
Hierarchical Gaussian process regression
Proceedings of the Second Asian Conference on Machine Learning (ACML-2010),Tokyo, Japan, November 8-10, 2010.(acceptance rate = 23/74 = 31%)

Sunho Park and Seungjin Choi (2010),"Hierarchical Gaussian process regression,"in Proceedings of the Second Asian Conference on Machine Learning (ACML-2010),Tokyo, Japan, November 8-10, 2010.(acceptance rate = 23/74 = 31%)

cite
Alpha-integration of multiple evidence
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

Heeyoul Choi, Anup Katake and Seungjin Choi andYoonsuck Choe (2010),"Alpha-integration of multiple evidence, "in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

cite
Blind rhythmic source separation: Nonnegativity and repeatability
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

Minje Kim, Jiho Yoo, Kyeongok Kang, and Seungjin Choi (2010),"Blind rhythmic source separation: Nonnegativity and repeatability, "in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

cite
Nonnegative matrix partial co-factorization for drum source separation
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

Jiho Yoo, Minje Kim, Kyeongok Kang, and Seungjin Choi (2010),"Nonnegative matrix partial co-factorization for drum source separation," in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

cite
Learning alpha-integration with partially-labeled data
Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

Heeyoul Choi, Seungjin Choi, Anup Katake, andYoonsuck Choe (2010),"Learning alpha-integration with partially-labeled data, "in Proceedings of the IEEE International Conference on Acoustics, Speech,and Signal Processing (ICASSP-2010) ,Dallas, Texas, March 14-19, 2010.

cite
### 2009

Clustering sequence sets for motif discovery
Advances in Neural Information Processing Systems(NIPS-2009), Vancouver, Canada, December 7-10, 2009. (to appear) (acceptance rate = 263/1105 = 23.8% )

Jong Kyoung Kim and Seungjin Choi (2009)," Clustering sequence sets for motif discovery, " in Advances in Neural Information Processing Systems(NIPS-2009), Vancouver, Canada, December 7-10, 2009. (to appear) (acceptance rate = 263/1105 = 23.8% )

cite
Common neighborhood sub-graph density as a similaritymeasure for community detection
Proceedings of the International Conference on Neural InformationProcessing (ICONIP-2009), Bangkok, Thailand, December 1-5, 2009. (to appear)

Yoonseop Kang and Seungjin Choi (2009), " Common neighborhood sub-graph density as a similaritymeasure for community detection, " in Proceedings of the International Conference on Neural InformationProcessing (ICONIP-2009), Bangkok, Thailand, December 1-5, 2009. (to appear)

cite
Probabilistic combination of multiple evidence
Proceedings of the International Conference on Neural Information Processing (ICONIP-2009),Bangkok, Thailand, December 1-5, 2009. (to appear)

Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, and Yoonsuck Choe (2009)," Probabilistic combination of multiple evidence, "in Proceedings of the International Conference on Neural Information Processing (ICONIP-2009),Bangkok, Thailand, December 1-5, 2009. (to appear)

cite
Weighted nonnegative matrix co-tri-factorization for collaborative prediction
Proceedings of the First Asian Conference on Machine Learning (ACML-2009), Nanjing, China, November 2-4, 2009. (to appear)(acceptance rate = 27/113 = 23.89% )

Jiho Yoo and Seungjin Choi (2009), "Weighted nonnegative matrix co-tri-factorization for collaborative prediction, "in Proceedings of the First Asian Conference on Machine Learning (ACML-2009), Nanjing, China, November 2-4, 2009. (to appear)(acceptance rate = 27/113 = 23.89% )

cite
Group nonnegative matrix factorization for EEG classification
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics ( AISTATS-2009 ), Clearwater Beach, Florida, April 16-18, 2009.

Hyekyoung Lee and Seungjin Choi (2009), "Group nonnegative matrix factorization for EEG classification," in Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics ( AISTATS-2009 ), Clearwater Beach, Florida, April 16-18, 2009.

cite
Probabilistic matrix tri-factorization
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

Jiho Yoo and Seungjin Cho (2009), "Probabilistic matrix tri-factorization," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

cite
Weighted nonnegative matrix factorization
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

Yong-Deok Kim and Seungjin Choi (2009), "Weighted nonnegative matrix factorization," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

cite
Ensembles of landmark multidimensional scalings
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

Seunghak Lee and Seungjin Choi (2009), "Ensembles of landmark multidimensional scalings," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

cite
Target speech extraction using learned spectral bases
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

Sunho Park, Jiho Yoo, and Seungjin Choi (2009), "Target speech extraction using learned spectral bases," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing ( ICASSP-2009 ), Taipei, Taiwan, April 19-24, 2009.

cite
Incremental learning to rank with partially labeled data
Proceedings of the ACM International Workshop on Web Search Click Data ( WSCD-2009 ), Barcelona, Spain, February 9, 2009.

Kye-Hyeon Kim and Seungjin Choi (2009), "Incremental learning to rank with partially labeled data," in Proceedings of the ACM International Workshop on Web Search Click Data ( WSCD-2009 ), Barcelona, Spain, February 9, 2009.

cite
### 2008

Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Proceedings of the International Conference on Pattern Recognition ( ICPR-2008 ), Tampa, Florida, December 8-11, 2008.

Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, and Yoonsuck Choe (2008), "Kernel oriented discriminant analysis for speaker-independent phoneme spaces," in Proceedings of the International Conference on Pattern Recognition ( ICPR-2008 ), Tampa, Florida, December 8-11, 2008.

cite
Orthogonal nonnegative matrix factorization: Multiplicative updates on Stiefel manifolds
Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning ( IDEAL-2008 ), Daejon, Korea, November 2-5, 2008. ( One of best 3 student paper awards )

Jiho Yoo and Seungjin Choi (2008), "Orthogonal nonnegative matrix factorization: Multiplicative updates on Stiefel manifolds," in Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning ( IDEAL-2008 ), Daejon, Korea, November 2-5, 2008. ( One of best 3 student paper awards )

cite
Manifold integration with Markov random walks
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence ( AAAI-2008 ), Chicago, Illinois, July 13-17, 2008. ( acceptance rate = 24% )

Heeyoul Choi, Seungjin Choi, and Yoonsuck Choe (2008), "Manifold integration with Markov random walks," in Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence ( AAAI-2008 ), Chicago, Illinois, July 13-17, 2008. ( acceptance rate = 24% )

cite
Gaussian process regression for voice activity detection and speech enhancement
Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

Sunho Park and Seungjin Choi (2007), "Gaussian process regression for voice activity detection and speech enhancement," in Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

cite
Algorithms for orthogonal nonnegative matrix factorization
Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

Seungjin Choi (2007), "Algorithms for orthogonal nonnegative matrix factorization," in Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

cite
CUR+NMF for learning spectral features from large data matrix
Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

Hyekyoung Lee and Seungjin Choi (2007), "CUR+NMF for learning spectral features from large data matrix," in Proceedings of the International Joint Conference on Neural Networks ( IJCNN-2008 ), Hong Kong, June 1-6, 2008

cite
Nonnegative Tucker decomposition with alpha-divergence
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008

Yong-Deok Kim, Andrzej Cichocki, and Seungjin Choi (2008), "Nonnegative Tucker decomposition with alpha-divergence," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008

cite
Gaussian processes for source separation
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008

Sunho Park and Seungjin Choi (2008), "Gaussian processes for source separation," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2008), Las Vegas, Nevada, March 30 - April 4, 2008

cite
### 2007

Real-time classification of fear/panic emotion based on physiological signals
Proceedings of the 8th Pan-Pacific Conference on Occupational Ergonomics ( PPCOE-2007 ), Bangkok, Thailand, October 17-19, 2007.

J. Chun, H. Lee, Y. S. Park, W. Park, J. Park, S. H, Han, S. Choi, G. J. Kim (2007), "Real-time classification of fear/panic emotion based on physiological signals," in Proceedings of the 8th Pan-Pacific Conference on Occupational Ergonomics ( PPCOE-2007 ), Bangkok, Thailand, October 17-19, 2007.

cite
Source separation with Gaussian process models
Proceedings of the European Conference on Machine Learning ( ECML-2007 ), Warsaw, Poland, September 17-21, 2007. ( acceptance rate = 9.1% for oral presentation )

S. Park and S. Choi (2007), "Source separation with Gaussian process models," in Proceedings of the European Conference on Machine Learning ( ECML-2007 ), Warsaw, Poland, September 17-21, 2007. ( acceptance rate = 9.1% for oral presentation )

cite
Color face tensor factorization and slicing for illumination-robust recognition
Proceedings of the International Conference on Biometrics ( ICB-2007 ), Seoul, Korea, August 27-29, 2007. ( acceptance rate = 10.9% for oral presentation )

Y. -D. Kim and S. Choi (2007), "Color face tensor factorization and slicing for illumination-robust recognition," in Proceedings of the International Conference on Biometrics ( ICB-2007 ), Seoul, Korea, August 27-29, 2007. ( acceptance rate = 10.9% for oral presentation )

cite
Wake-sleep PCA
Proceedings of International Joint Conference on Neural Networks ( IJCNN-2007 ), Orlando, Florida, August 12-17, 2007.

S. Choi (2007) "Wake-sleep PCA," in Proceedings of International Joint Conference on Neural Networks ( IJCNN-2007 ), Orlando, Florida, August 12-17, 2007.

cite
Nonnegative Tucker decomposition
Proceedings of the IEEE CVPR-2007 Workshop on Component Analysis Methods, Minneapolis, Minnesota, June 22, 2007.

Y. -D. Kim and S. Choi (2007), "Nonnegative Tucker decomposition," in Proceedings of the IEEE CVPR-2007 Workshop on Component Analysis Methods, Minneapolis, Minnesota, June 22, 2007.

cite
Neighbor search with global geometry: A minimax message passing algorithm
Proceedings of the International Conference on Machine Learning ( ICML-2007 ), Corvallis, Oregon, June 20-24, 2007. ( acceptance rate = 29% )

K. -H. Kim and S. Choi (2007) "Neighbor search with global geometry: A minimax message passing algorithm," in Proceedings of the International Conference on Machine Learning ( ICML-2007 ), Corvallis, Oregon, June 20-24, 2007. ( acceptance rate = 29% )

cite
Non-negative tensor factorization using alpha and beta divergences
Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

A. Cichocki, R. Zdunek, S. Choi, R. J. Plemmons, S. Amari (2006), "Non-negative tensor factorization using alpha and beta divergences," in Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

cite
A method of initialization for nonnegative matrix factorization
Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

Y. -D. Kim and S. Choi (2006), "A method of initialization for nonnegative matrix factorization," in Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

cite
Soft geodesic kernel k-means
Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

J. Kim, K. -H. Shim, and S. Choi (2006), "Soft geodesic kernel k-means," in Proc. Int'l Conf. Acoustics, Speech, and Signal Processing (ICASSP-2007), Honolulu, Hawaii, April 15-20, 2007. (to appear)

cite
Novel multi-layer non-negative tensor factorization with sparsity constraints
Proc. Int'l Conf. Adaptive and Natural Computing Algorithms (ICANNGA-2007), Warsaw, Poland, April 11-14, 2007. (to appear)

A. Cichocki, R. Zdunek, S. Choi, R. J. Plemmons, S. Amari (2007), "Novel multi-layer non-negative tensor factorization with sparsity constraints," in Proc. Int'l Conf. Adaptive and Natural Computing Algorithms (ICANNGA-2007), Warsaw, Poland, April 11-14, 2007. (to appear)

cite
Dynamically weighted hidden Markov model for spam deobfuscation
Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI-2007), Hyderabad, India, January 6-12, 2007. ( acceptance rate = 16% for oral presentation )

S. Lee, I. Jeong, and S. Choi (2007), "Dynamically weighted hidden Markov model for spam deobfuscation," in Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI-2007), Hyderabad, India, January 6-12, 2007. ( acceptance rate = 16% for oral presentation )

cite
### 2006

Tree-dependent components of gene expression data for clustering
Proc. Int'l Conf. Artificial Neural Networks (LNCS 4132), Athens, Greece, September 10-14, 2006.

J. K. Kim and S. Choi (2006), "Tree-dependent components of gene expression data for clustering," in Proc. Int'l Conf. Artificial Neural Networks (LNCS 4132), Athens, Greece, September 10-14, 2006.

cite
Nonnegative matrix factorization for motor imagery EEG classification
Proc. Int'l Conf. Artificial Neural Networks (LNCS 4132), Athens, Greece, September 10-14, 2006.

H. Lee, A. Cichocki, and S. Choi (2006), "Nonnegative matrix factorization for motor imagery EEG classification," in Proc. Int'l Conf. Artificial Neural Networks (LNCS 4132), Athens, Greece, September 10-14, 2006.

cite
ICA-based clustering for resolving permutation ambiguity in frequency-domain convolutive source separation
Proc. Int'l Conf. Pattern Recognition (ICPR), Hong Kong, August 20-24, 2006. ( acceptance rate = 15% for oral presentation )

M. Kim and S. Choi (2006), "ICA-based clustering for resolving permutation ambiguity in frequency-domain convolutive source separation," in Proc. Int'l Conf. Pattern Recognition (ICPR), Hong Kong, August 20-24, 2006. ( acceptance rate = 15% for oral presentation )

cite
Rao-Blackwellized particle filtering for sequential speech enhancement
Proc. Int'l Joint Conf. Neural Networks (IJCNN), Vancouver, Canada, July 16-21, 2006.

S. Park and S. Choi (2006), "Rao-Blackwellized particle filtering for sequential speech enhancement," in Proc. Int'l Joint Conf. Neural Networks (IJCNN), Vancouver, Canada, July 16-21, 2006.

cite
Relative gradient learning for independent subspace analysis
Proc. Int'l Joint Conf. Neural Networks (IJCNN), Vancouver, Canada, July 16-21, 2006.

H. Choi and S. Choi (2006), "Relative gradient learning for independent subspace analysis," in Proc. Int'l Joint Conf. Neural Networks (IJCNN), Vancouver, Canada, July 16-21, 2006.

cite
Iterative projection approximation algorithms for PCA
Proc. IEEE Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), Toulouse, France, May 14-19, 2006.

S. Choi, J. H. Ahn, and A. Cichocki (2006), "Iterative projection approximation algorithms for PCA," in Proc. IEEE Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), Toulouse, France, May 14-19, 2006.

cite
Monaural music source separation: Nonnegativity, sparseness, and shift-invariance
Proc. Int'l Conf. Independent Component Analysis and Blind Signal Separation (LNCS 3889), pp. 617-624, Charleston, South Carolina, March 5-8, 2006

M. Kim and S. Choi (2006) "Monaural music source separation: Nonnegativity, sparseness, and shift-invariance," in Proc. Int'l Conf. Independent Component Analysis and Blind Signal Separation (LNCS 3889), pp. 617-624, Charleston, South Carolina, March 5-8, 2006

cite
Topographic independent component analysis of gene expression time series data
Proc. Int'l Conf. Independent Component Analysis and Blind Signal Separation (LNCS 3889), pp. 462-469, Charleston, South Carolina, March 5-8, 2006

S. Kim and S. Choi (2006) "Topographic independent component analysis of gene expression time series data," in Proc. Int'l Conf. Independent Component Analysis and Blind Signal Separation (LNCS 3889), pp. 462-469, Charleston, South Carolina, March 5-8, 2006

cite
### 2005

U-likelihood and U-updating algorithms: Statistical inference in latent variable models
Proc. European Conf. Machine Learning (LNAI 3720), pp. 377-388, Porto, Protugal, October 3-7, 2005

J. Sung, S. -Y. Bang, S. Choi, and Z. Ghahramani (2005) "U-likelihood and U-updating algorithms: Statistical inference in latent variable models," in Proc. European Conf. Machine Learning (LNAI 3720), pp. 377-388, Porto, Protugal, October 3-7, 2005

cite
On variations of power iteration
Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 145-150, Warsaw, Poland, September 11-15, 2005

S. Choi (2005) "On variations of power iteration," in Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 145-150, Warsaw, Poland, September 11-15, 2005

cite
On spectral basis selection for single channel polyphonic music separation
Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 157-162, Warsaw, Poland, September 11-15, 2005

M. Kim and S. Choi (2005) "On spectral basis selection for single channel polyphonic music separation," in Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 157-162, Warsaw, Poland, September 11-15, 2005

cite
Myocardial blood flow quantification in dynamic PET; An ensemble ICA approach
Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 709-714, Warsaw, Poland, September 11-15, 2005

B. I. Lee, J. S. Lee, D. S. Lee, and S. Choi (2005) "Myocardial blood flow quantification in dynamic PET; An ensemble ICA approach," in Proc. Int'l Conf. Artificial Nerual Networks (LNCS 3697), pp. 709-714, Warsaw, Poland, September 11-15, 2005

cite
Kernel Isomap on noisy manifold
Proc. IEEE Int'l Conf. Development and Learning (ICDL), Osaka, Japan, July 19-21, 2005.

H. Choi and S. Choi (2005) "Kernel Isomap on noisy manifold," in Proc. IEEE Int'l Conf. Development and Learning (ICDL), Osaka, Japan, July 19-21, 2005.

cite
Independent arrays or independent time courses for gene expression time series
Proc. IEEE Int'l Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 23-26, 2005.

S. Kim and S. Choi (2005) "Independent arrays or independent time courses for gene expression time series," in Proc. IEEE Int'l Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 23-26, 2005.

cite
F-SEONS: A second-order frequency-domain algorithm for noisy convolutive source separation
Proc. IEEE Int'l Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 23-26, 2005.

I. Jang, K. Kang, S. Kim, and S. Choi (2005) "F-SEONS: A second-order frequency-domain algorithm for noisy convolutive source separation," in Proc. IEEE Int'l Symposium on Circuits and Systems (ISCAS), Kobe, Japan, May 23-26, 2005.

cite
Relative trust-region learning for ICA
Proc. IEEE Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), Philadelphia, PA, March 19-23, 2005.

H. Choi and S. Choi (2005) "Relative trust-region learning for ICA," in Proc. IEEE Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), Philadelphia, PA, March 19-23, 2005.

cite
Independent subspaces of gene expression data
Proc. IASTED Int'l Conf. Artificial Intelligence and Applications, Innsbruck, Austria, February 14-16, 2005.

H. Kim and S. Choi (2005) "Independent subspaces of gene expression data," in Proc. IASTED Int'l Conf. Artificial Intelligence and Applications, Innsbruck, Austria, February 14-16, 2005.

cite
### 2004

Nonnegative features of spectro-temporal sounds for classification
appeared in Pattern Recognition Letters, 2005, which is an extention of this conference paper)

Y. -C. Cho and S. Choi (2004) "Learning nonnegative features of spectro-temporal sounds for classification," in Proc. Int'l Conf. Spoken Language Processing (ICSLP), Jeju Island, Korea, October 4-8, 2004. (See also the paper "Nonnegative features of spectro-temporal sounds for classification" appeared in Pattern Recognition Letters, 2005, which is an extention of this conference paper)

cite
A multiplicative up-propagation algorithm
Proc. Int'l Conf. Machine Learning (ICML), pp. 17-24, Banff, Canada, July 4-8, 2004.

J. -H. Ahn, S. Choi, and J. -H. Oh (2004) "A multiplicative up-propagation algorithm," in Proc. Int'l Conf. Machine Learning (ICML), pp. 17-24, Banff, Canada, July 4-8, 2004.

cite
Fast stochastic neighbor embedding: A trust-region algorithm
Proc. Int'l Joint Conf. Neural Networks (IJCNN), pp. 123-128, Budapest, Hungary, July 25-29, 2004.

K. Nam, H. Je, and S. Choi (2004) "Fast stochastic neighbor embedding: A trust-region algorithm," in Proc. Int'l Joint Conf. Neural Networks (IJCNN), pp. 123-128, Budapest, Hungary, July 25-29, 2004.

cite
Maximum within-cluster association
appeared in Pattern Recognition Letters, 2005, which is an extention of this conference paper)

Y. Lee and S. Choi (2004) "Minimum entropy, k-means, spectral clustering," in Proc. Int'l Joint Conf. Neural Networks (IJCNN), pp. 117-122, Budapest, Hungary, July 25-29, 2004. (See also the paper "Maximum within-cluster association" appeared in Pattern Recognition Letters, 2005, which is an extention of this conference paper)

cite
Trust-region learning for ICA
Proc. Int'l Joint Conf. Neural Networks (IJCNN), pp. 41-46, Budapest, Hungary, July 25-29, 2004.

H. Choi, S. Kim, and S. Choi (2004) "Trust-region learning for ICA," in Proc. Int'l Joint Conf. Neural Networks (IJCNN), pp. 41-46, Budapest, Hungary, July 25-29, 2004.

cite
A new way of PCA: Integrated-squared-error and EM algorithms
Proc. Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), pp. 777-780, Montreal, Canada, May 17-21, 2004.

J. -H. Ahn, S. Choi, and J. -H. Oh (2004) "A new way of PCA: Integrated-squared-error and EM algorithms," in Proc. Int'l Conf. Acousitcs, Speech and Signal Processing (ICASSP), pp. 777-780, Montreal, Canada, May 17-21, 2004.

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Independence or nonnegativity: Constraints for sensory coding
International Congress Series 1269, 2004. (presented as an invited talk in BrainIT-2004, Kitakyushu, Japan, March 7-9, 2004)

S. Choi (2004) "Independence or nonnegativity: Constraints for sensory coding," in International Congress Series 1269, 2004. (presented as an invited talk in BrainIT-2004, Kitakyushu, Japan, March 7-9, 2004)

cite
Multiple nonnegative matrix factorization of dynamic PET images
Proc. Asian Conf. Computer Vision, pp. 1009-1013, Jeju Island, Korea, January 27-30, 2004.

J. -H. Ahn, S. Kim, J. -H. Oh, and S. Choi (2004) "Multiple nonnegative matrix factorization of dynamic PET images," in Proc. Asian Conf. Computer Vision, pp. 1009-1013, Jeju Island, Korea, January 27-30, 2004.

cite
### 2003

Non-negative component parts of sound for classification
Proc. IEEE Int'l Symp. Signal Processing and Information Technology, Darmstadt, Germany, December 14-17, 2003.

Y.-C. Cho, S. Choi, S.-Y. Bang (2003) "Non-negative component parts of sound for classification," in Proc. IEEE Int'l Symp. Signal Processing and Information Technology, Darmstadt, Germany, December 14-17, 2003.

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ICA+OPCA for artifact-robust classification of EEG data
Proc. IEEE NNSP, pp. 585-594, Toulouse, France, September 17-19, 2003.

S. Park, H. Lee, and S. Choi (2003) "ICA+OPCA for artifact-robust classification of EEG data," in Proc. IEEE NNSP, pp. 585-594, Toulouse, France, September 17-19, 2003.

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Membership scoring via independent feature subspace analysis for grouping co-expressed genes
Proc. IJCNN, Portland, Oregon, July 20-24, 2003.

H. Kim, S. Choi, and S. -Y. Bang (2003) "Membership scoring via independent feature subspace analysis for grouping co-expressed genes," in Proc. IJCNN, Portland, Oregon, July 20-24, 2003.

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PCA+HMM+SVM for EEG pattern classification
Proc. IEEE ISSPA, pp. 541-544, Paris, France, July 1-4, 2003.

H. Lee and S. Choi (2003) "PCA+HMM+SVM for EEG pattern classification," in Proc. IEEE ISSPA, pp. 541-544, Paris, France, July 1-4, 2003.

cite
Differential ICA
Proc. ICANN/ICONIP (Lecture Notes in Computer Science 2714), pp. 68-75, Istanbul, Turkey, June 26-29, 2003.

S. Choi (2003) "Differential ICA," in Proc. ICANN/ICONIP (Lecture Notes in Computer Science 2714), pp. 68-75, Istanbul, Turkey, June 26-29, 2003.

cite
Differential learning and random walk model
Proc. ICASSP, pp. 724-727, Hong Kong, April 6-10, 2003.

S. Choi (2003) "Differential learning and random walk model," in Proc. ICASSP, pp. 724-727, Hong Kong, April 6-10, 2003.

cite
Several improvements of the Herault-Jutten model for speech segregation
Proc. ICA, pp. 1089-1094, Nara, Japan, Apri 1-4, 2003.

F. Berthommier and S. Choi (2003) "Several improvements of the Herault-Jutten model for speech segregation," in Proc. ICA, pp. 1089-1094, Nara, Japan, Apri 1-4, 2003.

cite
### 2002

PCA-based linear dynamical systems for multichannel EEG classification
Proc. ICONIP, pp. 745-749, Singapore, Nov. 19-22, 2002.

H. Lee and S. Choi (2002) "PCA-based linear dynamical systems for multichannel EEG classification," in Proc. ICONIP, pp. 745-749, Singapore, Nov. 19-22, 2002.

cite
Rectified subspace analysis of dynamic positron emission tomography
Proc. ICONIP, pp. 2269-2273, Singapore, Nov. 19-22, 2002.

S. Choi, S. Kim, J. S. Lee, and D. S. Lee (2002) "Rectified subspace analysis of dynamic positron emission tomography," in Proc. ICONIP, pp. 2269-2273, Singapore, Nov. 19-22, 2002.

cite
Comparative evaluation of CASA and BSS models for subband cocktail party speech segregation
Proc. Int'l Conf. Spoken Language Processing, Denver, Colorado, Sep. 16-20, 2002.

F. Berthommier and S. Choi (2002) "Comparative evaluation of CASA and BSS models for subband cocktail party speech segregation," in Proc. Int'l Conf. Spoken Language Processing, Denver, Colorado, Sep. 16-20, 2002.

cite
Adaptive differential decorrelation: A natural gradient algorithm
Proc. ICANN (Lecture Notes in Computer Science 2415), pp. 1168-1173, Madrid, Spain, Aug. 27-30, 2002.

S. Choi (2002) "Adaptive differential decorrelation: A natural gradient algorithm," in Proc. ICANN (Lecture Notes in Computer Science 2415), pp. 1168-1173, Madrid, Spain, Aug. 27-30, 2002.

cite
Why blind source separation for blind equalization of multiple channels?
Proc. IEEE Sensory Array and Multichannel Processing (SAM), Rosslyn, VA, Aug. 4-7, 2002.

I. Jang and S. Choi (2002) "Why blind source separation for blind equalization of multiple channels?," in Proc. IEEE Sensory Array and Multichannel Processing (SAM), Rosslyn, VA, Aug. 4-7, 2002.

cite
Sequential EM learning for subspace analysis
Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.

S. Choi (2002) "Sequential EM learning for subspace analysis," in Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.

cite
A symmetric-definite pencil approach to source separation
Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.

S. Choi (2002) "A symmetric-definite pencil approach to source separation," in Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.

cite
Natural gradient learning for second-order nonstationary source separation
Proc. IJCNN 2002, pp. 654-658, Honolulu, Hawaii, May 12-17, 2002.

S. Choi, A. Cichocki, and S. Amari (2002) "Natural gradient learning for second-order nonstationary source separation," in Proc. IJCNN 2002, pp. 654-658, Honolulu, Hawaii, May 12-17, 2002.

cite
### 2001

Differential decorrelation for nonstationary source separation
Proc. ICA, pp. 319-322, San Diego, California, December 9-13, 2001.

S. Choi, A. Cichocki, and Y. Deville (2001) "Differential decorrelation for nonstationary source separation," in Proc. ICA, pp. 319-322, San Diego, California, December 9-13, 2001.

cite
Evaluation of CASA and BSS models for subband cocktail party speech recognition
Proc. ICA, pp. 301-306, San Diego, California, December 9-13, 2001.

F. Berthommier and S. Choi (2001) "Evaluation of CASA and BSS models for subband cocktail party speech recognition," in Proc. ICA, pp. 301-306, San Diego, California, December 9-13, 2001.

cite
Application of non-negative matrix factorization to dynamic positron emmision tomography
Proc. ICA, pp. 629-632, San Diego, California, December 9-13, 2001.

J. S. Lee, D. D. Lee, S. Choi, D. S. Lee (2001) "Application of non-negative matrix factorization to dynamic positron emmision tomography," in Proc. ICA, pp. 629-632, San Diego, California, December 9-13, 2001.

cite
Sequential least squares algorithms for blind co-channel signal separation
Proc. ICA, pp. 601-604, San Diego, California, December 9-13, 2001.

I. Jang and S. Choi (2001) "Sequential least squares algorithms for blind co-channel signal separation," in Proc. ICA, pp. 601-604, San Diego, California, December 9-13, 2001.

cite
A comparison of PCA/ICA for data preprocessing in a geoscience application
Proc. ICA, pp. 278-283, San Diego, California, December 9-13, 2001.

P. Wong, S. Choi, and Y. Niu (2001) "A comparison of PCA/ICA for data preprocessing in a geoscience application," in Proc. ICA, pp. 278-283, San Diego, California, December 9-13, 2001.

cite
Non-negative matrix factorization of dynamic images in nuclear medicine
Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 2027-2030, San Diego, California, November 4-10, 2001.

J. S. Lee, D. D. Lee, S. Choi, K. S. Park, and D. S. Lee (2001), "Non-negative matrix factorization of dynamic images in nuclear medicine," in Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 2027-2030, San Diego, California, November 4-10, 2001.

cite
Noninvasive estimation of cerebral boold flow using image-derived carotid input function in H_2^{15}O Dynamic PET
Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 1282-1285, San Diego, California, November 4-10, 2001.

K. M. Kim, H. Watabe, M. Shidahara, J. Y. Ahn, S. Choi, N. Kudomi, K. Hayashida, Y. Miyake, H. Iida (2001), "Noninvasive estimation of cerebral boold flow using image-derived carotid input function in H_2^{15}O Dynamic PET," in Proc. IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 1282-1285, San Diego, California, November 4-10, 2001.

cite
Correlation matching approach to source sepration in the presence of spatially correlated noise
Proc. Int'l Symp. Signal Processing and Applications (IEEE ISSPA 2001), Kuala-Lumpur, Malaysia, August 13-16, 2001.

S. Choi and A. Cichocki (2001) "Correlation matching approach to source sepration in the presence of spatially correlated noise," in Proc. Int'l Symp. Signal Processing and Applications (IEEE ISSPA 2001), Kuala-Lumpur, Malaysia, August 13-16, 2001.

cite
Blind separation of second-order nonstationary and temporally colored sources
Proc. IEEE Workshop on Statistical Signal Processing (IEEE SSP 2001), pp. 444-447, Singapore, August 6-8, 2001.

S. Choi, A. Cichocki, and A. Belouchrani (2001), "Blind separation of second-order nonstationary and temporally colored sources," in Proc. IEEE Workshop on Statistical Signal Processing (IEEE SSP 2001), pp. 444-447, Singapore, August 6-8, 2001.

cite
Approximate maximum likelihood source separation using the natural gradient
Proc. IEEE SPAWC 2001, pp. 235-238, Taoyuan, Taiwan, March 20-23, 2001.

S. Choi, A. Cichocki, L. Zhang, and S. Amari (2001), "Approximate maximum likelihood source separation using the natural gradient," in Proc. IEEE SPAWC 2001, pp. 235-238, Taoyuan, Taiwan, March 20-23, 2001.

cite
### 2000

Blind separation of nonstationary and temporally correlated sources from noisy mixtures
Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP 2000), pp. 405-414, Sydney, Austrailia, Dec. 11-13, 2000.

S. Choi and A. Cichocki (2000), "Blind separation of nonstationary and temporally correlated sources from noisy mixtures," in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP 2000), pp. 405-414, Sydney, Austrailia, Dec. 11-13, 2000.

cite
Blind source separation from noisy measurements: Time-delayed correlation matching
Proc. ICONIP, pp. 1359-1362, Taejon, Korea, Nov. 14-18, 2000.

S. Choi (2000), "Blind source separation from noisy measurements: Time-delayed correlation matching," in Proc. ICONIP, pp. 1359-1362, Taejon, Korea, Nov. 14-18, 2000.

cite
Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network
Proc. Int'l Conf. Spoken Language Processing (ICSLP 2000), Beijing, China, Oct. 16-20, 2000.

S. Choi, H. Hong, H. Glotin, and F. Berthommier (2000), "Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network," in Proc. Int'l Conf. Spoken Language Processing (ICSLP 2000), Beijing, China, Oct. 16-20, 2000.

cite
Local stability analysis of flexible independent component analysis algorithm
Proc. ICASSP 2000, Istanbul, Turkey, pp. 3426-3429, June 5-9, 2000.

S. Choi, A. Cichocki, and S. Amari (2000), "Local stability analysis of flexible independent component analysis algorithm," in Proc. ICASSP 2000, Istanbul, Turkey, pp. 3426-3429, June 5-9, 2000.

cite
### 1999

Nonstationary source separation
Proc. IEEE Region 10 Conference (TENCON'99), September 15-17 1999.

S. Choi and O. Lee (1999), "Nonstationary source separation," in Proc. IEEE Region 10 Conference (TENCON'99), September 15-17 1999.

cite
Blind separation of delayed and superimposed acoustic sources: Learning algorithm and experimental study
Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 109-114, August 18-20 1999.

S. Choi, Y. Lyu, F. Berthommier, H. Glotin, and A. Cichocki (1999), "Blind separation of delayed and superimposed acoustic sources: Learning algorithm and experimental study," in Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 109-114, August 18-20 1999.

cite
Acoustic source separation: Fundamental issues
Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 505-510, August 18-20 1999.

S. Choi (1999), "Acoustic source separation: Fundamental issues," in Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 505-510, August 18-20 1999.

cite
A CASA front-end using the localization cue for segregation and then cocktail-party speech recognition
Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 97-102, August 18-20 1999.

E. Tessier, F. Berthommier, H. Glotin, and S. Choi (1999), "A CASA front-end using the localization cue for segregation and then cocktail-party speech recognition," in Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 97-102, August 18-20 1999.

cite
Constrained minimum entropy and maximum negentropy for blind deconvolution and equalization
Proc. Int'l Conf. Telecommunications (ICT'99), pp. 13-17, June 15-18, 1999.

S. Choi (1999), "Constrained minimum entropy and maximum negentropy for blind deconvolution and equalization," in Proc. Int'l Conf. Telecommunications (ICT'99), pp. 13-17, June 15-18, 1999.

cite
A hybrid learning approach to blind deconvolution of MIMO systems
Proc. IEEE Signal Processing Workshop on Higher-order Statistics (HOS'99), Ceasarea, Israel, pp. 292-295, June 14-16, 1999.

S. Choi and A. Cichocki (1999), "A hybrid learning approach to blind deconvolution of MIMO systems," in Proc. IEEE Signal Processing Workshop on Higher-order Statistics (HOS'99), Ceasarea, Israel, pp. 292-295, June 14-16, 1999.

cite
Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolutioin
Proc. ICASSP'99, Phoenix, Arizona, pp. 1085-1088, March 15-19 1999.

S. Choi, A. Cichocki, and S. Amari (1999), "Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolutioin," in Proc. ICASSP'99, Phoenix, Arizona, pp. 1085-1088, March 15-19 1999.

cite
Nolinear dynamic independent component analysis using state-space and neural network models
Proc. International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, pp. 99-104, January 11-15 1999.

A. Cichocki, L. Zhang, S. Choi, and S. Amari (1999), "Nolinear dynamic independent component analysis using state-space and neural network models," in Proc. International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, pp. 99-104, January 11-15 1999.

cite
Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels
Proc. International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, pp. 371-376, January 11-15 1999.

S. Choi, S. Amari, A. Cichocki, and R. Liu (1999), "Natural gradient learning with a nonholonomic constraint for blind deconvolution of multiple channels," in Proc. International Workshop on Independent Component Analysis and Blind Signal Separation (ICA'99), Aussois, France, pp. 371-376, January 11-15 1999.

cite
### 1998

Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule
Proc. IEEE Workshop on Neural Networks for ' Signal Processing (NNSP'98), pp. 93-102, Cambridge, England, 31 August - 3 September 1998.

S. Choi, A. Cichocki, and S. Amari (1998), "Blind equalization of SIMO channels via spatio-temporal anti-Hebbian learning rule," in Proc. IEEE Workshop on Neural Networks for ' Signal Processing (NNSP'98), pp. 93-102, Cambridge, England, 31 August - 3 September 1998.

cite
Flexible independent component analysis
Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP'98), pp. 83-92, Cambridge, England, 31 August - 3 September 1998.

S. Choi, A. Cichocki, and S. Amari (1998), "Flexible independent component analysis," in Proc. IEEE Workshop on Neural Networks for Signal Processing (NNSP'98), pp. 83-92, Cambridge, England, 31 August - 3 September 1998.

cite
On-line sequential multichannel blind deconvolution: A deflation approach
Proc. IEEE DSP Workshop, pp. 159-162, Utah, August 9-12 1998.

S. Choi and A. Cichocki (1998), "On-line sequential multichannel blind deconvolution: A deflation approach," in Proc. IEEE DSP Workshop, pp. 159-162, Utah, August 9-12 1998.

cite
### 1997

Self-adaptive independent compoenent analysis for sub-Gaussian and super-Gaussian mixtures with unknown number of source signals
Proc. NOLTA'97, Hawaii, pp. 731-734, November 1997.

A. Cichocki, I. Sabala, and S. Choi, B. Orsier, and R. Szupiluk (1997), "Self-adaptive independent compoenent analysis for sub-Gaussian and super-Gaussian mixtures with unknown number of source signals," in Proc. NOLTA'97, Hawaii, pp. 731-734, November 1997.

cite
Natural gradient learning algorithms for decorrelation
Progress in Connectionist-Based Information Systems, N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds., vol. 1, pp. 645-648, 1997.

S. Choi, S. Amari, and A, Cichocki (1997), "Natural gradient learning algorithms for decorrelation," in Progress in Connectionist-Based Information Systems, N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds., vol. 1, pp. 645-648, 1997.

cite
Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach
Progress in Connectionist-Based Information Systems, N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds.,vol. 1, pp. 641-644, 1997.

S. Choi, A. Cichocki, and S. Amari (1997), "Adaptive blind deconvolution and equalization with self-adaptive nonlinearities: An information-theoretic approach," in Progress in Connectionist-Based Information Systems, N. Kasabov, R. Kozma, K. Ko, R. O'shea, T. Gedeon, eds.,vol. 1, pp. 641-644, 1997.

cite
Adaptive blind separation of speech signals: Cocktail party problem
Proc. Int'l Conf. Speech Processing (ICSP'97), pp. 617-622, 26-28 August 1997.

S. Choi and A. Cichocki (1997), "Adaptive blind separation of speech signals: Cocktail party problem" in Proc. Int'l Conf. Speech Processing (ICSP'97), pp. 617-622, 26-28 August 1997.

cite
Blind signal deconvolution by spatio-temporal decorrelation and demixing
Neural Networks for Signal Processing VII, J. Principe, L. Gile, N. Morgan, and E. Wilson, eds., pp. 426-435, September 1997.

S. Choi and A. Cichocki (1997), "Blind signal deconvolution by spatio-temporal decorrelation and demixing," in Neural Networks for Signal Processing VII, J. Principe, L. Gile, N. Morgan, and E. Wilson, eds., pp. 426-435, September 1997.

cite
A linear feedforward neural network with lateral feedback connections for blind source separation
Proc. IEEE Signal Processing Workshop on Higher-order Statistics (HOS'97), Banff, Canada, pp. 349-353, July 21-23 1997.

S. Choi and A. Cichocki (1997), "A linear feedforward neural network with lateral feedback connections for blind source separation," in Proc. IEEE Signal Processing Workshop on Higher-order Statistics (HOS'97), Banff, Canada, pp. 349-353, July 21-23 1997.

cite
An adaptive system for direct multi-channel blind equalization
Proc. The First Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC'97), Paris, France, pp. 85-88, 16-18 April 1997.

S. Choi, H Luo, and R. Liu (1997), "An adaptive system for direct multi-channel blind equalization," in Proc. The First Signal Processing Workshop on Signal Processing Advances in Wireless Communications (SPAWC'97), Paris, France, pp. 85-88, 16-18 April 1997.

cite
A learning algorithm for the separation of non-zero skewness signals with no spurious equilibria
Proc. The Fifth European Symposim on Artificial Neural Networks (ESANN'97), Bruges, Belgium, pp. 249-254, 16-18 April 1997.

S. Choi and R. Liu (1997), "A learning algorithm for the separation of non-zero skewness signals with no spurious equilibria," in Proc. The Fifth European Symposim on Artificial Neural Networks (ESANN'97), Bruges, Belgium, pp. 249-254, 16-18 April 1997.

cite
### 1996

A direct adaptive blind equalizer for multi-channel transmission
1996 Neural Information Processing Systems (NIPS) Workshop on Blind Signal Processing and its Applications, Snowmass, Colorado, December 1996.

S. Choi and R. Liu (1996), "A direct adaptive blind equalizer for multi-channel transmission," in 1996 Neural Information Processing Systems (NIPS) Workshop on Blind Signal Processing and its Applications, Snowmass, Colorado, December 1996.

cite
Two-stage neural network for blind sources separation
Proceedings of the Midwest Symposium on Circuits and Systems, Ames, Iowa, pp. 827-830, August 1996.

S. Choi and R. Liu (1996), "Two-stage neural network for blind sources separation," in Proceedings of the Midwest Symposium on Circuits and Systems, Ames, Iowa, pp. 827-830, August 1996.

cite
### 1994

Contrast enhancement of missile data through image sequence stabilization and product correlation
Proceedings of the IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, San Jose, California, Feb. 1994.

S. Choi, R. R. Schultz, R. L. Stevenson, Y. F. Huang, and R. Liu (1994), "Contrast enhancement of missile data through image sequence stabilization and product correlation," in Proceedings of the IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, San Jose, California, Feb. 1994.

cite
### Miscellaneous International Conference Papers

F-SEONS: A second-order frequency domain algorithm for convolutive source separation in noisy environments
In Proc. Int'l Symp. Intelligent Signal Processing and Communication Systems, Seoul, Korea, November 18-19, 2004.

I. Jang, S. Kim, and S. Choi (2004) F-SEONS: A second-order frequency domain algorithm for convolutive source separation in noisy environments, In Proc. Int'l Symp. Intelligent Signal Processing and Communication Systems, Seoul, Korea, November 18-19, 2004.

cite
Sensory coding strategies: Independence or nonnegativity
presented as an invited talk in NBNI-2003, Nov. 21-22, 2003.

S. Choi (2003) Sensory coding strategies: Independence or nonnegativity, presented as an invited talk in NBNI-2003, Nov. 21-22, 2003.

cite
Differential learning and ICA
in Proc. Int'l Symp. Adv. Intelligent Systems, pp. 162-165, Jeju Island, Korea, Sep. 26-28, 2003. (invited paper)

S. Choi (2003) Differential learning and ICA, in Proc. Int'l Symp. Adv. Intelligent Systems, pp. 162-165, Jeju Island, Korea, Sep. 26-28, 2003. (invited paper)

cite
Independent feature subspace analysis of gene expression time series data
presented in PAKDD 2003 Workshop on Biological Data Mining Seoul, Korea, April 30, 2003.

H. Kim, S. Choi, and S. -Y. Bang (2003) Independent feature subspace analysis of gene expression time series data, presented in PAKDD 2003 Workshop on Biological Data Mining Seoul, Korea, April 30, 2003.

cite
Evaluation of CASA and BSS models for cocktail party speech segregation
in Proc. Int'l Conf. Speech Processing, August 22-24, 2001.

F. Berthommier and S. Choi (2001), Evaluation of CASA and BSS models for cocktail party speech segregation, in Proc. Int'l Conf. Speech Processing, August 22-24, 2001.

cite
Blind speech dereverberation using multiple microphones
accepted for presentation at Int'l Conf. Speech Processing. Taejon, Korea, Aug. 22-24, 2001.

S. Choi (2001), Blind speech dereverberation using multiple microphones, accepted for presentation at Int'l Conf. Speech Processing. Taejon, Korea, Aug. 22-24, 2001.

cite
Approximate Maximum Likelihood Source Separation
in Proc. Asia-Pacific Conference on Communications (APCC 2000), Seoul, Korea, Oct. 30 - Nov. 2, 2000.

S. Choi (2000), Approximate Maximum Likelihood Source Separation, in Proc. Asia-Pacific Conference on Communications (APCC 2000), Seoul, Korea, Oct. 30 - Nov. 2, 2000.

cite
Blind acoustic source separation for cocktail party speech recognition
in Proc. ICONIP, pp. 1204-1209, Taejon, Korea, Nov. 14-18, 2000.

H. Hong, S. Choi, H. Glotin, and F. Berthommier (2000), Blind acoustic source separation for cocktail party speech recognition, in Proc. ICONIP, pp. 1204-1209, Taejon, Korea, Nov. 14-18, 2000.

cite
Comparison of ICA/BSS algorithms for noisy data
in Proc. ICONIP, pp. 1192-1197, Taejon, Korea, Nov. 14-18, 2000.

S. -H. Oh, A. Cichocki, S. Choi , S. Amari, and S. -Y. Lee (2000), Comparison of ICA/BSS algorithms for noisy data, in Proc. ICONIP, pp. 1192-1197, Taejon, Korea, Nov. 14-18, 2000.

cite
On correlation matching approach to blind separation of nonstationary sources
in Proc. ITC-CSCC 2000, pp. 241-244, July 11-13 2000.

S. Choi, H. Hong, and J. OH (2000), On correlation matching approach to blind separation of nonstationary sources, in Proc. ITC-CSCC 2000, pp. 241-244, July 11-13 2000.

cite
Adaptive spatio-temporal decorrelation: Application to multichannel blind deconvolution
in Proc. ITC-CSCC 2000, pp. 753-756, July 11-13 2000.

H. Hong and S. Choi (2000), Adaptive spatio-temporal decorrelation: Application to multichannel blind deconvolution, in Proc. ITC-CSCC 2000, pp. 753-756, July 11-13 2000.

cite
Fetal electrocardiogram data analysis via flexible independent component analysis
in Proc. The 4th Asia-Pacific Conference on Medical & Biological Engineering (APCMBE'99), September 12-15 1999.

S. Choi, A. Cichocki, and S. Amari (1999), Fetal electrocardiogram data analysis via flexible independent component analysis, in Proc. The 4th Asia-Pacific Conference on Medical & Biological Engineering (APCMBE'99), September 12-15 1999.

cite
PCA vs ICA for face recognition
in Proc. ITC-CSCC 2000, pp. 873-876, July 11-13 2000.

O. Lee, H. Park, and S. Choi (2000), PCA vs ICA for face recognition, in Proc. ITC-CSCC 2000, pp. 873-876, July 11-13 2000.

cite
Blind deconvolution of linear MIMO systems driven by arbitrarily distributed sources
in Proc. IEEE Region 10 Conference (TENCON'99), September 15-17 1999.

S. Choi (1999), Blind deconvolution of linear MIMO systems driven by arbitrarily distributed sources, in Proc. IEEE Region 10 Conference (TENCON'99), September 15-17 1999.

cite
Blind Multiuser Signal Separation using Antenna Arrays
, in Proc. CDMA International Conference, pp. 529-533, October 27-30, 1998.

S. Choi (1998), Blind Multiuser Signal Separation using Antenna Arrays, in Proc. CDMA International Conference, pp. 529-533, October 27-30, 1998.

cite
Linear neural networks with FIR synapses for blind equalization
in Proc. ITC-CSCC'98, pp. 1081-1084, July 13-15 1998.

S. Choi (1998), Linear neural networks with FIR synapses for blind equalization, in Proc. ITC-CSCC'98, pp. 1081-1084, July 13-15 1998.

cite
Adaptive blind signal copy for antenna arrays
in Proc. ITC-CSCC'98 pp. 641-644, July 13-15 1998.

S. Choi (1998), Adaptive blind signal copy for antenna arrays, in Proc. ITC-CSCC'98 pp. 641-644, July 13-15 1998.

cite
### 2021

Bayesian optimization with approximate set kernels
Machine Learning, January 2021. (To appear)

Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi (2021),
"Bayesian optimization with approximate set kernels",
Machine Learning,
January 22, 2021. (To appear)

cite
### 2018

Sparse circulant binary embedding: An asymptotic analysis
IEEE Signal Processing Letters, vol. 25, no. 3, pp. 432-436, March 2018.

Saehoon Kim and Seungjin Choi (2018),
"Sparse circulant binary embedding: An asymptotic analysis,"
IEEE Signal Processing Letters, vol. 25, no. 3, pp. 432-436, March 2018.

cite
### 2017

Manipulation of Rat Movement via Nigrostriatal Stimulation Controlled by Human Visually Evoked Potentials
Scientific Reports, April, 12, 2017.

Bonkon Koo, Chin Su Koh, Hae-Yong Park, Hwan-Gon Lee, Jin Woo Chang, Seungjin Choi, and Hyung-Cheul Shin (2017),
"Manipulation of Rat Movement via Nigrostriatal Stimulation Controlled by Human Visually Evoked Potentials,"
Scientific Reports,
April, 12, 2017.

cite
### 2016

Prediction and predictability for search query acceleration
ACM Transactions on the Web, May 19, 2016.

Seung-won Hwang, Saehoon Kim, Yuxiong He, Sameh Elnikety, and Seungjin Choi (2016),
"Prediction and predictability for search query acceleration,"
ACM Transactions on the Web,
May 19, 2016.

cite
Glossokinetic potentials for a tongue-machine interface: How can we trace tongue movements with electrodes?
IEEE SMC Magazine, vol. 2, pp. 6-13, January 2016.

Yunjun Nam, Bonkon Koo, Andrzej Cichocki, and Seungjin Choi (2016),
"Glossokinetic potentials for a tongue-machine interface: How can we trace tongue movements with electrodes?,"
IEEE SMC Magazine,
vol. 2, pp. 6-13, January 2016.

cite
### 2015

A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery
Journal of Neuroscience Methods, vol. 244, pp. 26-32, April 2015.

Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Hyohyeong Kang, Chin Su Koh, Hyung-Cheul Shin, and Seungjin Choi (2014), "A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery," Journal of Neuroscience Mehtods, vol. 244, pp. 26-32, April 2015.

cite
Regularized discriminant embedding for visual descriptor learning
Neurocomputing, vol. 149, pp. 1048-1057, February 2015.

Kye-Hyeon Kim, Rui Cai, Lei Zhang, and Seungjin Choi (2013), "Regularized discriminant embedding for visual descriptor learning," Neurocomputing, vol. 149, pp. 1048-1057, February 2015.

cite
### 2014

Bayesian common spatial patterns for multi-subject EEG classification
Neural Networks, May 23, 2014

Hyohyeong Kang and Seungjin Choi (2014), "Bayesian common spatial patterns for multi-subject EEG classification," Neural Networks, May 23, 2014.

cite
Label propagation through minimax paths for scalable semi-supervised learning
Pattern Recognition Letters, vol. 45, pp. 17-25, August 2014

Kye-Hyeon Kim and Seungjin Choi (2014), "Label propagation through minimax paths for scalable semi-supervised learning," Pattern Recognition Letters, vol. 45, pp. 17-25, August 2014.

cite
Inference of dynamic networks using time-course data
Briefings in Bioinformatics, vol. 15, no. 2, pp. 212-228, March 2014

Yoongsoo Kim, Seungmin Han, Seungjin Choi, and Daehee Hwang (2014),
"Inference of dynamic networks using time-course data,"
Briefings in Bioinformatics, vol. 15, no. 2, pp. 212-228, March 2014.

cite
GOM-Face: GKP, EOG, and EMG-based multimodal interface with application to humanoid robot control
IEEE Transactions on Biomedical Engineering, vol. 61, no. 2, pp. 453-462, February 2014.

Yunjun Nam, Bonkon Koo, Andrzej Cichocki, and Seungjin Choi (2014),
"GOM-Face: GKP, EOG, and EMG-based multimodal interface with application to humanoid robot control,"
IEEE Transactions on Biomedical Engineering,
vol. 61, no. 2, pp. 453-462, February 2014.

cite
### 2013

Parameter learning for alpha-integration
Neural Computation, vol. 25, no. 6, pp. 1585-1604, June 2013.

Heeyoul Choi, Seungjin Choi, Yoonsuck Choe (2013), "Parameter learning for alpha-integration," Neural Computation, vol. 25, no. 6, pp. 1585-1604, June 2013.

cite
Variational Bayesian view of weighted trace norm regularizationfor matrix factorization
IEEE Signal Processing Letters, vol. 20, no. 3, pp. 261-264, March 2013.

Yong-Deok Kim and Seungjin Choi (2013), "Variational Bayesian view of weighted trace norm regularizationfor matrix factorization," IEEE Signal Processing Letters, vol. 20, no. 3, pp. 261-264, March 2013.

cite
Max-margin embedding for multi-label learning
Pattern Recognition Letters, vol. 34, no. 3, pp. 292-298, February 1, 2013.

Sunho Park and Seungjin Choi (2012), "Max-margin embedding for multi-label learning," Pattern Recognition Letters, vol. 34, no. 3, pp. 292-298, February 1, 2013.

cite
### 2012

Identification of co-occurring transcription factor binding sites from DNA sequence using clustered position weight matrices
Nucleic Acids Research, vol. 40, no. 5, March 2012.

Young Min Oh, Jong Kyoung Kim, Seungjin Choi, and Joo-Yeon Yoo (2012), "Identification of co-occurring transcription factor binding sites from DNA sequence using clustered position weight matrices," Nucleic Acids Research, vol. 40, no. 5, March 2012.

cite
Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface
IEEE Trans. Biomed. Engineering 59(1): 290-299.

Yunjun Nam, Qibin Zhao, Andrzej Cichocki, and Seungjin Choi (2012) "Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface," IEEE Trans. Biomed. Engineering 59(1): 290-299.

cite
### 2011

Nonnegative matrix partial co-factorization for spectral andtemporal drum source separation
IEEE Journal of Selected Topics in Signal Processing, October 2011.

Minje Kim, Jiho Yoo, Kyeongok Kang, and Seungjin Choi (2011), "Nonnegative matrix partial co-factorization for spectral andtemporal drum source separation," IEEE Journal of Selected Topics in Signal Processing, October 2011.

cite
Probabilistic models for semi-supervised discriminativemotif discovery in DNA sequences
IEEE/ACM Transactions on Computational Biology and Bioinformatics, September/October 2011.

Jong Kyoung Kim and Seungjin Choi (2011), "Probabilistic models for semi-supervised discriminativemotif discovery in DNA sequences," IEEE/ACM Transactions on Computational Biology and Bioinformatics, September/October 2011.

cite
Manifold-respecting discriminant nonnegative matrix factorization
Pattern Recognition Letters, April 15, 2011.

Shounan An, Jiho Yoo, and Seungjin Choi (2011), "Manifold-respecting discriminant nonnegative matrix factorization," Pattern Recognition Letters, April 15, 2011.

cite
Principal network analysis: Identification of subnetworks representing major dynamics using gene expression data
Bioinformatics, February 1, 2011.

Yongsoo Kim, Taek-Kyun Kim, Yungu Kim, Jiho Yoo, Sung Yong Yoo, Inyoul Lee, George Carlson, Leroy Hood, Seungjin Choi, and Daehee Hwang (2011), "Principal network analysis: Identification of subnetworks representing major dynamics using gene expression data," Bioinformatics, February 1, 2011.

cite
### 2010

Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds
Information Processing and Management, September 2010.

Jiho Yoo and Seungjin Choi (2010), "Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds," Information Processing and Management, September 2010.

cite
Nonnegative matrix factorization with orthogonality constraints
Journal of Computing Science and Engineering, June 2010.

Jiho Yoo and Seungjin Choi (2010), "Nonnegative matrix factorization with orthogonality constraints," Journal of Computing Science and Engineering, June 2010.

cite
Semi-supervised nonnegative matrix factorization
IEEE Signal Processing Letters, January 2010.

Hyekyoung Lee, Jiho Yoo, and Seungjin Choi (2010),"Semi-supervised nonnegative matrix factorization, "IEEE Signal Processing Letters, January 2010.

cite
### 2009

Composite common spatial pattern for subject-to-subject transfer
IEEE Signal Processing Letters, ol. 16, no. 8, pp. 683-686, August 2009.

Hyohyeong Kang, Yunjun Nam, and Seungjin Choi (2009), " Composite common spatial pattern for subject-to-subject transfer," IEEE Signal Processing Letters, ol. 16, no. 8, pp. 683-686, August 2009.

cite
Landmark MDS ensemble
Pattern Recognition, 2009. (in press)

Seunghak Lee and Seungjin Choi (2009), "Landmark MDS ensemble," Pattern Recognition, 2009. (in press)

cite
Clustering with r-regular graphs
Pattern Recognition, 2009. (in press)

Jong Kyoung Kim and Seungjin Choi (2009), "Clustering with r-regular graphs," Pattern Recognition, 2009. (in press)

cite
### 2008

A constrained sequential EM algorithm for speech enhancement
, Neural Networks, 2008.

Sunho Park and Seungjin Choi (2008), "A constrained sequential EM algorithm for speech enhancement", Neural Networks, 2008.

cite
Noninvasive brain-computer interface: Current trends and challenges in signal processing - Multiway array decompositions
IEEE Computer, October, 2008.

Andrzej Cichocki, Seungjin Choi, Qibin Zhao, Yoshikazu Washizawa, Yuanqing Li, Hyekyoung Lee, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan, Liqing Zhang (2008), "Noninvasive brain-computer interface: Current trends and challenges in signal processing - Multiway array decompositions" IEEE Computer, October, 2008.

cite
Nonnegative matrix factorization with alpha-divergence
Pattern Recognition Letters, 2008.

Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, and Seungjin Choi (2008), "Nonnegative matrix factorization with alpha-divergence" Pattern Recognition Letters, 2008.

cite
Arabidopsis nuclear-encoded plastid transit peptides contain multiple sequence subgroups with distinctive chloroplast-targeting sequence motifs
Plant Cell, 2008.

Dong Wook Lee, Jong Kyoung Kim, Sumin Lee, Seungjin Choi, Sanguk Kim, and Inhwan Hwang (2008), " Arabidopsis nuclear-encoded plastid transit peptides contain multiple sequence subgroups with distinctive chloroplast-targeting sequence motifs," Plant Cell, 2008.

cite
Independent arrays or independent time courses for gene expression time series data analysis
Neurocomputing, 2008.

Sookjeong Kim, Jong Kyoung Kim, and Seungjin Choi (2008), "Independent arrays or independent time courses for gene expression time series data analysis," Neurocomputing, 2008.

cite
### 2007

A clinical application of ensemble ICA to the quantification of myocardial blood flow in dynamic PET
Journal of VLSI Signal Processing, vol. 49, pp. 233-241, November 2007. (Special Issue: Data Fusion for Medical, Industrial, and Environmental Applications. Guest Editors: Danilo Mandic and Dragan Obradovic)

B. I. Lee, J. S. Lee, D. S. Lee, W. J. Kang, J. J. Lee, and S. Choi (2007) "A clinical application of ensemble ICA to the quantification of myocardial blood flow in dynamic PET," Journal of VLSI Signal Processing, vol. 49, pp. 233-241, November 2007. (Special Issue: Data Fusion for Medical, Industrial, and Environmental Applications. Guest Editors: Danilo Mandic and Dragan Obradovic)

cite
Nonnegative tensor factorization for continuous EEG classification
International Journal of Neural Systems, 2007. vol. 17, no. 4, pp. 305-317, August 2007.

Hyekyoung Lee, Yong-Deok Kim, Andrzej Cichocki, and Seungjin Choi (2007), "Nonnegative tensor factorization for continuous EEG classification," International Journal of Neural Systems, 2007. vol. 17, no. 4, pp. 305-317, August 2007.

cite
A relative trust-region algorithm for independent component analysis
Neurocomputing, 2007. vol. 70, pp. 1502-1510, March 2007.

H. Choi and S. Choi (2007), "A relative trust-region algorithm for independent component analysis," Neurocomputing, 2007. vol. 70, pp. 1502-1510, March 2007.

cite
Learning principal directions: Integrated-squared-error minimization
Neurocomputing, 2007. vol. 70, pp. 1372-1381, March 2007.

J. -H. Ahn, J. -H. Oh, and S. Choi (2007), "Learning principal directions: Integrated-squared-error minimization," Neurocomputing, 2007. vol. 70, pp. 1372-1381, March 2007.

cite
### 2006

Differential learning algorithms for decorrelation and independent component analysis
Neural Networks, vol. 19, no. 10, pp. 1558-1567, December 2006.

S. Choi (2006), "Differential learning algorithms for decorrelation and independent component analysis," Neural Networks, vol. 19, no. 10, pp. 1558-1567, December 2006.

cite
Sequence-driven features for prediction of subcellular localization of proteins
Pattern Recognition, vol. 39, no. 12, pp. 2301-2311, December 2006.

J. K. Kim, S. -Y. Bang, and S. Choi (2006), "Sequence-driven features for prediction of subcellular localization of proteins," Pattern Recognition, vol. 39, no. 12, pp. 2301-2311, December 2006.

cite
Semidefinite spectral clustering
Pattern Recognition, vol. 39, no. 11, pp. 2025-2035, November 2006.

J. Kim and S. Choi (2006), "Semidefinite spectral clustering," Pattern Recognition, vol. 39, no. 11, pp. 2025-2035, November 2006.

cite
Development of a separation algorithm for peak signals and its application to event-related brain potentials
Journal of the Korean Physical Society, vol. 49, no. 4, pp. 1667-1674, October 2006.

B. -I. Yoo, S. Kim, S. Choi, Y. Y. Kim, and J. S. Kwon (2006), "Development of a separation algorithm for peak signals and its application to event-related brain potentials," Journal of the Korean Physical Society, vol. 49, no. 4, pp. 1667-1674, October 2006.

cite
Constrained projection approximation algorithms for principal component analysis
Neural Processing Letters, vol. 24, no. 1, pp. 53-65, August 2006.

S. Choi, J. -H. Ahn, and A. Cichocki (2006), "Constrained projection approximation algorithms for principal component analysis," Neural Processing Letters, vol. 24, no. 1, pp. 53-65, August 2006.

cite
Coupled Helmholtz machine for PCA
Electronics Letters, vol. 42, no. 16, pp. 936-937, August 3, 2006.

S. Choi (2006), "Coupled Helmholtz machine for PCA," Electronics Letters, vol. 42, no. 16, pp. 936-937, August 3, 2006.

cite
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
Pattern Recognition Letters, 2006.

J. K. Kim, G. P. S. Raghava, S. -Y. Bang, and S. Choi (2006), "Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine," Pattern Recognition Letters, 2006.

cite
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
Pattern Recognition Letters, vol. 27, no. 1, pp. 66-75, January 2006.

J. Sung, S. -Y. Bang, and S. Choi (2006), "A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition," Pattern Recognition Letters, vol. 27, no. 1, pp. 66-75, January 2006.

cite
### 2005

Maximum within-cluster association
Pattern Recognition Letters, vol. 26, no. 10, pp. 1412-1422, July 2005.

Y. Lee and S. Choi (2005), "Maximum within-cluster association," Pattern Recognition Letters, vol. 26, no. 10, pp. 1412-1422, July 2005.

cite
Nonnegative features of spetro-temporal sounds for classification
Pattern Recognition Letters, vol. 26, no. 9, pp. 1327-1336, July 2005.

Y. -C. Cho and S. Choi (2005), "Nonnegative features of spetro-temporal sounds for classification," Pattern Recognition Letters, vol. 26, no. 9, pp. 1327-1336, July 2005.

cite
Blind source separation and independent component analysis: A review
Neural Information Processing - Letters and Review, vol. 6, no. 1, pp. 1-57, January 2005.

S. Choi, A. Cichocki, H. -M. Park, and S. -Y. Lee (2005), "Blind source separation and independent component analysis: A review," Neural Information Processing - Letters and Review, vol. 6, no. 1, pp. 1-57, January 2005.

cite
### 2004

Kernel Isomap
Electronics Letters, vol. 40, no. 25, pp. 1612-1613, December 2004.

H. Choi and S. Choi (2004), "Kernel Isomap," Electronics Letters, vol. 40, no. 25, pp. 1612-1613, December 2004.

cite
Sequential EM learning for subspace analysis
Pattern Recognition Letters, vol. 25, no. 14, pp. 1559-1567, October 2004.

S. Choi (2004), "Sequential EM learning for subspace analysis," Pattern Recognition Letters, vol. 25, no. 14, pp. 1559-1567, October 2004.

cite
Independence or nonnegativity: constraints for sensory coding
International Congress Series, vol. 1269, pp. 38-41, August 2004.

S. Choi (2004), "Independence or nonnegativity: constraints for sensory coding," International Congress Series, vol. 1269, pp. 38-41, August 2004.

cite
### 2003

Approximate maximum likelihood source separation using the natural gradient
IEICE Trans. Fundamentals, vol. E86-A, no. 1, pp. 206-214, Jan. 2003.

S. Choi, A. Cichocki, L. Zhang, and S. Amari (2003), "Approximate maximum likelihood source separation using the natural gradient," IEICE Trans. Fundamentals, vol. E86-A, no. 1, pp. 206-214, Jan. 2003.

cite
### 2002

Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network
Neurocomputing, vol. 49, no. 1-4, pp. 299-314, Dec. 2002.

S. Choi, H. Hong, H. Glotin, and F. Berthommier (2002), "Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network," Neurocomputing, vol. 49, no. 1-4, pp. 299-314, Dec. 2002.

cite
Second order nonstationary source separation
Journal of VLSI Signal Processing, vol. 32, no. 1-2, pp. 93-104, Aug. 2002.

S. Choi, A. Cichocki, and A. Belouchrani (2002), "Second order nonstationary source separation," Journal of VLSI Signal Processing, vol. 32, no. 1-2, pp. 93-104, Aug. 2002.

cite
Equivariant nonstationary source separation
Neural Networks, vol. 15, no. 1, pp. 121-130, Jan. 2002.

S. Choi, A. Cichocki, and S. Amari (2002), "Equivariant nonstationary source separation," Neural Networks, vol. 15, no. 1, pp. 121-130, Jan. 2002.

cite
### 2001

Algebraic differential decorrelation for nonstationary source separation
Electronics Letters, vol. 37, no. 23, pp. 1414-1415, Nov. 18, 2001.

S. Choi and A. Cichocki (2001), "Algebraic differential decorrelation for nonstationary source separation," Electronics Letters, vol. 37, no. 23, pp. 1414-1415, Nov. 18, 2001.

cite
Blind equalization via approximate maximum likelihood source separation
Electronics Letters, vol. 37, no. 1, pp. 61-62, January 27 2001.

S. Choi and A. Cichocki (2001), "Blind equalization via approximate maximum likelihood source separation," Electronics Letters, vol. 37, no. 1, pp. 61-62, January 27 2001.

cite
### 2000

Natural gradient learning for spatio-temporal decorrelation: Recurrent network
IEICE Trans. Fundamentals, vol. E83-A, no. 12, pp. 2715-2722, Dec. 2000.

S. Choi, S. Amari, and A. Cichocki (2000), "Natural gradient learning for spatio-temporal decorrelation: Recurrent network," IEICE Trans. Fundamentals, vol. E83-A, no. 12, pp. 2715-2722, Dec. 2000.

cite
Flexible independent component analysis
Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 25-38, August 2000.

S. Choi, A. Cichocki, and S. Amari (2000), "Flexible independent component analysis," Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 25-38, August 2000.

cite
Blind separation of nonstationary sources in noisy mixtures
Electronics Letters, vol. 36, no. 9, pp. 848-849, April 27 2000.

S. Choi and A. Cichocki (2000), "Blind separation of nonstationary sources in noisy mixtures," Electronics Letters, vol. 36, no. 9, pp. 848-849, April 27 2000.

cite
### 1999

A hybrid learning approach to blind deconvolution of linear MIMO systems
Electronics Letters, vol. 35, no. 17, pp. 1429-1430, August 19 1999.

S. Choi and A. Cichocki (1999), "A hybrid learning approach to blind deconvolution of linear MIMO systems," Electronics Letters, vol. 35, no. 17, pp. 1429-1430, August 19 1999.

cite
An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment
Journal of Communications and Networks, vol. 1, no. 1, pp. 19-25, March 1999.

S. Choi and A. Cichocki (1999), "An unsupervised hybrid network for blind separation of independent non-Gaussian source signals in multipath environment," Journal of Communications and Networks, vol. 1, no. 1, pp. 19-25, March 1999.

cite
### 1998

Cascade neural networks for multichannel blind deconvolution
Electronics Letters, vol. 34, no. 12, pp. 1186-1187, June 11 1998.

S. Choi and A. Cichocki (1998), "Cascade neural networks for multichannel blind deconvolution," Electronics Letters, vol. 34, no. 12, pp. 1186-1187, June 11 1998.

cite
Differential Hebbian-type learning algorithms for decorrelation and independent component analysis
Electronics Letters, vol. 34, no. 9, pp. 900-901, April 30 1998.

S. Choi (1998), "Differential Hebbian-type learning algorithms for decorrelation and independent component analysis," Electronics Letters, vol. 34, no. 9, pp. 900-901, April 30 1998.

cite
A spurious equilibria-free learning algorithm for the blind separation of non-zero skewness signals
Neural Processing Letters, vol.7, no. 2, pp. 61-68, 1998.

S. Choi, R. Liu, and A. Cichocki (1998), "A spurious equilibria-free learning algorithm for the blind separation of non-zero skewness signals" Neural Processing Letters, vol.7, no. 2, pp. 61-68, 1998.

cite
### 1995

Contrast enhancement of missile video sequences via image stabilization and product correlation
Optical Engineering, vol. 34, no. 12, pp. 3495-3507, 1995.

S. Choi, R. R. Schultz, R. L. Stevenson, Y. F. Huang, and R. Liu (1995), "Contrast enhancement of missile video sequences via image stabilization and product correlation," Optical Engineering, vol. 34, no. 12, pp. 3495-3507, 1995.

cite
### 2007

Two-dimensional canonical correlation analysis
technical report (POSTECH-MLG-2007-001) (longer version where multiple data sets are also considered).

Sun Ho Lee and Seungjin Choi (POSTECH-MLG-2007-001), "Two-dimensional canonical correlation analysis," technical report (POSTECH-MLG-2007-001).

cite
### Recent Papers

Echo-state conditional variational auto-encoder for anomaly detection
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),

Vancouver, Canada, July 24-29, 2016.

Vancouver, Canada, July 24-29, 2016.

Suwon Suh, Daniel Chae, Hyon-Goo Kang, and Seungjin Choi (2016),
"Echo-state conditional variational auto-encoder for anomaly detection,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),
Vancouver, Canada, July 24-29, 2016.

cite
Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),

Vancouver, Canada, July 24-29, 2016.

Vancouver, Canada, July 24-29, 2016.

Sojeong Ha and Seungjin Choi (2016),
"Convolutional neural networks for human activity recognition using multiple accelerometer and gyroscope sensors,"
in Proceedings of the International Joint Conference on Neural Networks (IJCNN-2016),
Vancouver, Canada, July 24-29, 2016.

cite
Learning to select pre-trained deep representations with Bayesian evidence framework
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2016),

Las Vegas, Nevada, USA, June 27-30, 2016.

(Oral Presentation)

Las Vegas, Nevada, USA, June 27-30, 2016.

(Oral Presentation)

Yong-Deok Kim, Taewoong Jang, Bohyung Han, and Seungjin Choi (2016),
"Learning to select pre-trained deep representations with Bayesian evidence framework,"
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2016),
Las Vegas, Nevada, USA, June 27-30, 2016.

cite
Two-dimensional correlated topic models
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2016)

Shanghai, China, March 20-25, 2016.

Shanghai, China, March 20-25, 2016.

Suwon Suh and Seungjin Choi (2016),
"Two-dimensional correlated topic models,"
in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2016),
Shanghai, China, March 20-25, 2016.

cite
Tree-guided MCMC inference for normalized random measure mixture models
in Advances in Neural Information Processing Systems 28 (NIPS-2015),

Montreal, Canada, December 7-12, 2015.

Montreal, Canada, December 7-12, 2015.

Juho Lee and Seungjin Choi (2015),
"Tree-guided MCMC inference for normalized random measure mixture models,"
in Advances in Neural Information Processing Systems 28 (NIPS-2015),
Montreal, Canada, December 7-12, 2015.

cite
Immersive BCI with SSVEP in VR head-mounted display
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2015),

Milan, Italy, August 25-29, 2015.

Milan, Italy, August 25-29, 2015.

Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, and Seungjin Choi (2015),
"Immersive BCI with SSVEP in VR head-mounted display,"
in Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2015),
Milan, Italy, August 25-29, 2015.

cite
Bilinear random projections for locality-sensitive binary embedding
Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2015),

Boston, Massachusetts, USA, June 7-12, 2015.

Boston, Massachusetts, USA, June 7-12, 2015.

Saehoon Kim and Seungjin Choi (2015),
"Bilinear random projections for locality-sensitive binary embedding,"
in Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR-2015),
Boston, Massachusetts, USA, June 7-12, 2015.

cite
Bayesian hierarchical clustering with exponential family: Small-variance asymptotics and reducibility
Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS-2015),

San Diego, California, USA, May 9-12, 2015.

(acceptance rate = 118/442 = 26.7%)

San Diego, California, USA, May 9-12, 2015.

(acceptance rate = 118/442 = 26.7%)

Juho Lee and Seungjin Choi (2015),
"Bayesian hierarchical clustering with exponential family: Small-variance asymptotics and reducibility,"
in Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS-2015),
San Diego, California, USA, May 9-12, 2015.

cite
Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search
Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

(acceptance rate = 39/238=16.4%)

(Best paper runnerup award)

Shanghai, China, February 2-6, 2015.

(acceptance rate = 39/238=16.4%)

(Best paper runnerup award)

Saehoon Kim, Yuxiong He, Seung-won Hwang, Sameh Elnikety, and Seungjin Choi (2015),

"Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search,"

in Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

cite
"Delayed-dynamic-selective (DDS) prediction for reducing extreme tail latency in web search,"

in Proceedings of the 8th ACM International Conference on Web Search and Data Mining (WSDM-2015),

Shanghai, China, February 2-6, 2015.

Near-duplicate image discovery on one billion images
Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

(acceptance rate = 156/425=36.7%)

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

(acceptance rate = 156/425=36.7%)

Saehoon Kim, Xin-Jing Wang, Lei Zhang, and Seungjin Choi (2015),

"Near-duplicate image discovery on one billion images,"

in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.

cite
"Near-duplicate image discovery on one billion images,"

in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV-2015),

Waikoloa Beach, Hawaii, USA, January 6-9, 2015.