Seungjin Choi's Papers

Seungjin Choi's Papers



    2021

  1. Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, and Seungjin Choi (2021),
    "Bayesian optimization with approximate set kernels,"
    Machine Learning,
    March 22, 2021.
    (earlier version in preprint arXiv:1905.09780 )



    2020

  2. Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, and Seungjin Choi (2020),
    "Neural complexity measures,"
    Advances in Neural Information Processing Systems 33 (NeurIPS-2020),
    Virtual-only conference, December 6-12, 2020.
    (earlier version in preprint arXiv:2008.02953 )

  3. Beomjo Shin, Junsu Cho, Hwanjo Yu, and Seungjin Choi (2020),
    "Sparse network inversion for key instance detection in multiple instance learning,"
    Proceedings of the 25th International Conference on Pattern Recognition (ICPR-2020),
    Milan, Italy, January 10-15, 2021.
    (earlier version in preprint arXiv:2009.02909 )

  4. Jungtaek Kim and Seungjin Choi (2020),
    "On local optimizers of acquisition functions in Bayesian optimization,"
    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.
    (earlier version in preprint arXiv:1901.08350 )



    2019

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

  6. Jungtaek Kim and Seungjin Choi (2019),
    "Practical Bayesian optimization with threshold-guided marginal likelihood maximization,"
    Preprint arXiv:1905.07540, 2019.

  7. 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,"
    Proceedings of the Thirty-Sixth International Conference on Machine Learning (ICML-2019),
    Long Beach, California, USA, June 9-15, 2019.
    (earlier version in preprint arXiv:1810.00825 )

  8. Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi (2019),
    "MxML: Mixture of meta-learners for few-shot classification,"
    Preprint arXiv:1904.05658, 2019.

  9. Juho Lee, Lancelot James, Seungjin Choi, and Fran├žois 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)
    (earlier version in preprint arXiv:1810.01778 )



    2018

  10. Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, and Seungjin Choi (2018),
    "TAEML: Task-adaptive ensemble of meta-learners,"
    NIPS Workshop on Meta-Learning (MetaLearn-2018),
    Montreal, Canada, December 8, 2018.

  11. Jungtaek Kim and Seungjin Choi (2018),
    "Automated machine learning for soft voting in an ensemble of tree-based classifiers,"
    International Workshop on Automatic Machine Learning (AutoML-2018),
    Stockholm, Sweden, July 14, 2018.

  12. Yoonho Lee and Seungjin Choi (2018),
    "Gradient-based meta-learning with adaptive layerwise metric and subspace,"
    in Proceedings of the Thirty-Fifth International Conference on Machine Learning (ICML-2018),
    Stockholm, Sweden, July 10-15, 2018.
    (earlier version in preprint arXiv:1810.05558 )

  13. 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.

  14. 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.

  15. 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.

  16. 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.



    2017

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

  18. 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 International Conference on Machine Learning (ICML-2017),
    Sydney, Australia, August 6-11, 2017.
    (acceptance rate = 25.4%)

  19. 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. (accepted)

  20. 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.
    (acceptance rate = 24.6%)



    2016

  21. 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%)

  22. 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.

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

  24. 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.

  25. 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. (oral)
    (acceptance rate = 3.9% for oral)

  26. 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.

  27. 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,
    vol. 10, no. 3, August, 2016.

  28. 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.

  29. Bonkon Koo, Hanh Thi Vu, Hwan-Gon Lee, Hyung-Cheul Shin, and Seungjin Choi (2016),
    "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.
    December 5, 2015.
    ("will be available soon")



    2015

  30. 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.
    (acceptance rate = 21.9%)

  31. Sojeong Ha, Jeong-Min Yun, 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.
    ("will be available soon")

  32. 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.
    ("will be available soon")

  33. 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.

  34. 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.
    (acceptance rate = 28.4%)

  35. 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.
    (acceptance rate = 118/442 = 26.7%)

  36. 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.
    (acceptance rate = 39/238=16.4%)
    (Best paper runnerup award)

  37. 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.
    (acceptance rate = 156/425=36.7%)

  38. Marwan Hassani, Yunsu Kim, Seungjin Choi, Thomas Seidl (2015)
    "Subspace clustering of data streams: New algorithms and effective evaluation measures,"
    Journal of Intelligent Information Systems,
    vol. 45, no. 3, pp. 319-335, December 2015.

  39. Bonkon Koo, Hwan-Gon Lee, Yunjun Nam, Hyohyeong Kang, Chin Su Koh, Hyung-Cheul Shin, and Seungjin Choi (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.

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

  41. Bonkon Koo and Seungjin Choi (2015),
    "SSVEP response on Oculus Rift,"
    in Proceedings of The 3rd International Winter Conference on Brain-Computer Interface (BCI-2015),
    High1 Resort, Korea, January 12-14, 2015.


    2014

  42. 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. (oral)
    (acceptance rate = 23%)

  43. 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.

  44. Yongsoo Kim, Jin-Hyeok Jang, Seungjin Choi, and Daehee Hwang (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.
    (acceptance rate = 40/270 = 14.8%)

  45. 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.

  46. 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.

  47. 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.

  48. 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.

  49. 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.
    (acceptance rate = 120/335 = 35.8%)

  50. 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.
    (acceptance rate = 120/335 = 35.8%)

  51. 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.

  52. 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.

  53. 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.

  54. Hyohyeong Kang and Seungjin Choi (2014),
    "Bayesian common spatial patterns for multi-subject EEG classification,"
    Neural Networks,
    vol. 57, pp. 39-50, September 2014.

  55. 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.

  56. 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.

  57. 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.


    2013

  58. Yong-Deok Kim and Seungjin Choi (2013),
    "Scalable variational Bayesian matrix factorization,"
    presented at The First Workshop on Large-Scale Recommender Systems (LSRS-2013),
    Hong Kong, October 13, 2013.

  59. Yoonseop Kang, Kang-Tae Lee, Jihyun Eun, Sung Eun Park, and Seungjin Choi (2013),
    "Stacked denoising autoencoders for face normalization,"
    in Proceedings of the International Conference on Neural Information Processing (ICONIP-2013),
    Daegu, Korea, November 3-7, 2013.

  60. Hyojung Shin and Seungjin Choi (2013),
    "Brand-centric recommendation with inter-brand similarities,"
    in Proceedings of the International Conference on Neural Information Processing (ICONIP-2013),
    Daegu, Korea, November 3-7, 2013.

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

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

  63. 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 Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2013),
    Osaka, Japan, July 3-7, 2013.

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

  65. 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.

  66. 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.

  67. 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.

  68. 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%)

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

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

  71. 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.


    2012

  72. 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.
    (acceptance rate = 20%)

  73. 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.
    (acceptance rate = 20%)

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

  75. Saehoon Kim, Yoonseop Kang and Seungjin Choi (2012),
    "Sequential spectral learning to hash with multiple representations,"
    in Proceedings of the Twelfth European Conference on Computer Vision (ECCV-2012),
    Firenze, Italy, October 7-13, 2012.
    (acceptance rate = 28%)

  76. Juho Lee, Suha Kwak, Bohyung Han, and Seungjin Choi (2012),
    "Online video segmentation by Bayesian split-merge clustering,"
    in Proceedings of the Twelfth European Conference on Computer Vision (ECCV-2012),
    Firenze, Italy, October 7-13, 2012.
    (acceptance rate = 28%)

  77. 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.

  78. 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%)

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

  80. 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)

  81. 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.

  82. Yunjun Nam, Qibin Zhao, Andrzej Cichocki, and Seungjin Choi (2012),
    "Tongue-Rudder: A glossokinetic-potential-based tongue-machine interface,"
    IEEE Transactions on Biomedical Engineering,
    vol. 59, no. 1, pp. 290-299, January 2012.


    2011

  83. Young Min Oh, Jong Kyoung Kim, Seungjin Choi, and Joo-Yeon Yoo (2011),
    "Identification of co-occurring transcription factor binding sites
    from DNA sequence using clustered position weight matrices,"

    Nucleic Acids Research,
    December 19, 2011. (published)

  84. Saehoon Kim and Seungjin Choi (2011),
    "Semi-supervised discriminant hashing,"
    in Proceedings of the Eleventh IEEE International Conference on Data Mining (ICDM-2011),
    Vancouver, Canada, December 11-14, 2011.
    (acceptance rate=18%)

  85. Minje Kim, Jiho Yoo, Kyeongok Kang, and Seungjin Choi (2011),
    "Nonnegative matrix partial co-factorization for spectral and temporal drum source separation,"
    IEEE Journal of Selected Topics in Signal Processing,
    vol. 5, no. 6, pp. 1192-1204, October 2011.

  86. 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),

    Athens, Greece, September 5-9, 2011.
    ( acceptance rate = 20% )

  87. 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),

    Athens, Greece, September 5-9, 2011.
    ( acceptance rate = 20% )

  88. Jong Kyoung Kim and Seungjin Choi (2011),
    "Probabilistic models for semi-supervised discriminative motif discovery in DNA sequences,"
    IEEE/ACM Transactions on Computational Biology and Bioinformatics,
    vol. 8, no. 5, pp. 1309-1317, September/October 2011.

  89. Jiho Yoo and Seungjin Choi (2011),
    "Matrix co-factorization on compressed sensing,"
    in Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI-2011),
    Barcelona, Spain, July 16-22, 2011.
    ( acceptance rate = 400/1325 = 30% )

  90. 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),
    Prague, Czech Republic, May 22-27, 2011.

  91. 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),
    Prague, Czech Republic, May 22-27, 2011.

  92. Hyohyeong Kang and Seungjin Choi (2011),
    "Bayesian multi-task learning for common spatial patterns,"
    in Proceedings of the IEEE International Workshop on Pattern Recognition in NeuroImaging (PRNI-2011),
    Seoul, Korea, May 16-18, 2011.

  93. Shounan An, Jiho Yoo, and Seungjin Choi (2011),
    "Manifold-respecting discriminant nonnegative matrix factorization,"
    Pattern Recognition Letters.
    vol. 32, no. 6, pp. 832-837, April 15, 2011.

  94. 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.
    vol. 27, no. 3, pp. 391-398, February 1, 2011.



    2010

  95. 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)

  96. 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" )

  97. 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.

  98. Saehoon Kim and Seungjin Choi (2010),
    "Local dimensionality reduction for multiple instance learning,"
    in Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP-2010),
    Kittila, Finland, August 29 - September 1, 2010.

  99. Shounan An, Jiho Yoo, and Seungjin Choi (2010),
    "Manifold-respecting probabilistic matrix tri-factorization,"
    in Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP-2010),
    Kittila, Finland, August 29 - September 1, 2010.

  100. Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, and Yoonsuck Choe (2010),
    "Manifold alpha-integration,"
    in Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI-2010),
    pp. 397-408, Daegu, Korea, August 30 - September 3, 2010.
    ( acceptance rate = 52/191 = 27.22% for regular papers)

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

    Information Processing and Management,
    vol. 46, no. 5, pp. 559-570, September 2010.

  102. Jiho Yoo and Seungjin Choi (2010),
    "Nonnegative matrix factorization with orthogonality constraints,"
    Journal of Computing Science and Engineering,
    vol. 4, no. 2, pp. 97-109, June 2010.

  103. Heeyoul Choi, Anup Katake, Seungjin Choi, and Yoonsuck 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.

  104. 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.

  105. 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.

  106. Heeyoul Choi, Seungjin Choi, Anup Katake, and Yoonsuck 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.

  107. Hyekyoung Lee, Jiho Yoo, and Seungjin Choi (2010),
    "Semi-supervised nonnegative matrix factorization,"
    IEEE Signal Processing Letters,
    vol. 17, no. 1, pp. 4-7, January 2010.



    2009

  108. Jong Kyoung Kim and Seungjin Choi (2009),
    "Clustering sequence sets for motif discovery,"
    in Advances in Neural Information Processing Systems 22 (NIPS-2009),
    edited by Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams and A. Culotta,

    Vancouver, Canada, December 7-10, 2009.
    ( acceptance rate = 263/1105 = 23.8% )

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

  110. 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.

  111. 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),
    pp. 396-411, Nanjing, China, November 2-4, 2009.
    ( acceptance rate = 27/113 = 23.89% )

  112. Young Min Oh, Jong Kyoung Kim, Yongwook Choi, Seungjin Choi, and Joo-Yeon Yoo (2009),
    "Prediction and experimental validation of novel STAT3 target genes in human cancer cells,"
    PLoS ONE,
    vol. 4, no. 9, September 2009.

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

  114. Hyekyoung Lee, Andrzej Cichocki, and Seungjin Choi (2009),
    "Kernel nonnegative matrix factorization for spectral EEG feature extraction,"
    Neurocomputing,
    vol. 72, pp. 3182-3190, August 2009.

  115. Seunghak Lee and Seungjin Choi (2009),
    "Landmark MDS ensemble,"
    Pattern Recognition,
    vol. 42, no. 9, pp. 2045-2053, September 2009.

  116. Jong Kyoung Kim and Seungjin Choi (2009),
    "Clustering with r-regular graphs,"
    Pattern Recognition,
    vol. 42, no. 9, pp. 2020-2028, September 2009.

  117. Sangki Kim, Gunhyuk Park, Sunghoon Yim, Seungmoon Choi, and Seungjin Choi (2009),
    "Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction,"
    IEEE Transactions on Consumer Electronics,
    vol. 55, no. 3, pp. 1169-1177, August 2009.

  118. Seungjin Choi (2009),
    "Independent component analysis,"
    Encyclopedia of Biometrics,
    edidted by Stan Z. Li and Anil Jain, July 2009.

  119. Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi (2009),
    "Supervised learning,"
    Encyclopedia of Biometrics,
    edidted by Stan Z. Li and Anil Jain, July 2009.

  120. 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.

  121. Jiho Yoo and Seungjin Choi (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.

  122. 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.

  123. 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.

  124. 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.

  125. 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.



    2008

  126. Sunho Park and Seungjin Choi (2008),
    "A constrained sequential EM algorithm for speech enhancement,"
    Neural Networks,
    vol. 21, no. 9, pp. 1401-1409, November 2008.

  127. Andrzej Cichocki, Yoshikazu Washizawa, Tomasz Rutkowski, Hovagim Bakardjian, Anh-Huy Phan,
    Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, and Yuanqing Li (2008),
    "Noninvasive BCIs: Multiway signal-processing array decompositions"
    IEEE Computer,
    vol. 41, no. 10, pp. 34-42, October 2008.

  128. Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, and Seungjin Choi (2008),
    "Nonnegative matrix factorization with alpha-divergence,"
    Pattern Recognition Letters,
    vol. 29, no. 9, pp. 1433-1440, July 2008.

  129. 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,
    vol. 20, no. 6, pp. 1603-1622, June 2008.

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

    Neurocomputing,
    vol. 71, pp. 2377-2387, June 2008.

  131. 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.

  132. 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 ),
    Daejeon, Korea, November 2-5, 2008.
    ( One of best 3 student paper awards )

  133. 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% )

  134. 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

  135. 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

  136. 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

  137. 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.

  138. 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.


    2007

  139. 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)

  140. Sun Ho Lee and Seungjin Choi (2007),
    "Two-dimensional canonical correlation analysis,"
    IEEE Signal Processing Letters,
    vol. 14, no. 10, pp. 735-738, October 2007.
    See our technical report (longer version where multiple data sets are also considered).

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

  142. Heeyoul Choi and Seungjin Choi (2007),
    "Robust kernel Isomap,"
    Pattern Recognition,
    vol. 40, no. 3, pp. 853--862, March 2007.
    (Matlab codes)

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

  144. Jong-Hoon Ahn, Jong-Hoon Oh, and Seungjin Choi (2007),
    "Learning principal directions: Integrated-squared-error minimization,"
    Neurocomputing,
    vol. 70, pp. 1372-1381, March 2007.

  145. 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.

  146. Sunho Park and Seungjin 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 )

  147. Yong-Deok Kim and Seungjin 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.
    ( Best Biometrics Student Paper Award )
    ( acceptance rate = 10.9% for oral presentation )

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

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

  150. Kye-Hyeon Kim and Seungjin 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% )

  151. A. Cichocki, R. Zdunek, S. Choi, R. J. Plemmons, S. Amari (2007),
    "Non-negative tensor factorization using alpha and beta divergences,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2007),
    Honolulu, Hawaii, April 15-20, 2007.

  152. Yong-Deok Kim and Seungjin Choi (2007),
    "A method of initialization for nonnegative matrix factorization,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2007),
    Honolulu, Hawaii, April 15-20, 2007.

  153. Jaehwan Kim, Kwang-Hyun Shim, and Seungjin Choi (2007),
    "Soft geodesic kernel k-means,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2007),
    Honolulu, Hawaii, April 15-20, 2007.

  154. A. Cichocki, R. Zdunek, S. Choi, R. J. Plemmons, S. Amari (2007),
    "Novel multi-layer non-negative tensor factorization with sparsity constraints,"
    in Proceedings of the International Conference on Adaptive and Natural Computing Algorithms,
    Warsaw, Poland, April 11-14, 2007.

  155. Seunghak Lee, Iryoung Jeong, and Seungjin Choi (2007),
    "Dynamically weighted hidden Markov model for spam deobfuscation,"
    in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-2007),
    Hyderabad, India, January 6-12, 2007.
    ( acceptance rate = 16% for oral presentation )



    2006

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

  157. Jong Kyoung Kim, Sung-Yang Bang, and Seungjin Choi (2006),
    "Sequence-driven features for prediction of subcellular localization of proteins,"
    Pattern Recognition,
    vol. 39, no. 12, pp. 2301-2311, December 2006.

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

  159. B. -I. Yoo, S. Kim, Seungjin 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.

  160. Seungjin Choi, Jong-Hoon Ahn, and Andrzej Cichocki (2006),
    "Constrained projection approximation algorithms for principal component analysis,"
    Neural Processing Letters,
    vol. 24, no. 1, pp. 53-65, August 2006.

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

  162. Jong Kyoung Kim, G. P. S. Raghava, Sung-Yang Bang, and Seungjin Choi (2006),
    "Prediction of subcellular localization of proteins
    using pairwise sequence alignment and support vector machine,"

    Pattern Recognition Letters,
    vol. 27, no. 9, pp. 996-1001, July 2006.

  163. Jaemo Sung, Sung-Yang Bang, and Seungjin 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.


    2005

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

  165. Yong-Choon Cho and Seungjin Choi (2005),
    "Nonnegative features of spectro-temporal sounds for classification,"
    Pattern Recognition Letters,
    vol. 26, no. 9, pp. 1327-1336, July 2005.

  166. Seungjin Choi, Andrzej 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.

  167. Jaemo Sung, Sung-Yang Bang, Seungjin Choi, and Zoubin Ghahramani (2005)
    "U-likelihood and U-updating algorithms: Statistical inference in latent variable models,"
    in Proceedings of the European Conference on Machine Learning (LNAI 3720),
    pp. 377-388, Porto, Protugal, October 3-7, 2005
    ( acceptance rate = 11% for oral presentation )

  168. Seungjin Choi (2005)
    "On variations of power iteration,"
    in Proceedings of the International Conference on Artificial Nerual Networks (LNCS 3697),
    pp. 145-150, Warsaw, Poland, September 11-15, 2005

  169. Minje Kim and Seungjin Choi (2005)
    "On spectral basis selection for single channel polyphonic music separation,"
    in Proceedings of the International Conference on Artificial Nerual Networks (LNCS 3697),
    pp. 157-162, Warsaw, Poland, September 11-15, 2005

  170. 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 Proceedings of the International Conference on Artificial Nerual Networks (LNCS 3697),
    pp. 709-714, Warsaw, Poland, September 11-15, 2005

  171. Heeyoul Choi and Seungjin Choi (2005)
    "Kernel Isomap on noisy manifold,"
    in Proceedings of the IEEE International Conference on Development and Learning (ICDL),
    pp. 208-213, Osaka, Japan, July 19-21, 2005.

  172. Sookjeong Kim and Seungjin Choi (2005)
    "Independent arrays or independent time courses for gene expression time series,"
    in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS),
    Kobe, Japan, May 23-26, 2005.

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

  174. Heeyoul Choi and Seungjin Choi (2005)
    "Relative trust-region learning for ICA,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Philadelphia, PA, March 19-23, 2005.

  175. Hyejin Kim and Seungjin Choi (2005)
    "Independent subspaces of gene expression data,"
    in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications,
    Innsbruck, Austria, February 14-16, 2005.



    2004

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

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

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

  179. Yong-Choon Cho and Seungjin Choi (2004)
    "Learning nonnegative features of spectro-temporal sounds for classification,"
    in Proceedings of the International Conference on Spoken Language Processing (ICSLP),
    Jeju Island, Korea, October 4-8, 2004.

  180. Jong-Hoon Ahn, Seungjin Choi, and Jong-Hoon Oh (2004)
    "A multiplicative up-propagation algorithm,"
    in Proceedings of the International Conference on Machine Learning (ICML),
    pp. 17-24, Banff, Canada, July 4-8, 2004.
    ( acceptance rate = 33% )

  181. Kijeong Nam, Hongmo Je, and Seungjin Choi (2004)
    "Fast stochastic neighbor embedding: A trust-region algorithm,"
    in Proceedings of the International Joint Conference on Neural Networks (IJCNN),
    pp. 123-128, Budapest, Hungary, July 25-29, 2004.

  182. Yongjin Lee and Seungjin Choi (2004)
    "Minimum entropy, k-means, spectral clustering,"
    in Proceedings of the International Joint Conference on Neural Networks (IJCNN),
    pp. 117-122, Budapest, Hungary, July 25-29, 2004.

  183. Heeyoul Choi, Sookjeong Kim, and Seungjin Choi (2004)
    "Trust-region learning for ICA,"
    in Proceedings of the International Joint Conference on Neural Networks (IJCNN),
    pp. 41-46, Budapest, Hungary, July 25-29, 2004.

  184. Jong-Hoon Ahn, Seungjin Choi, and Jong-Hoon Oh (2004)
    "A new way of PCA: Integrated-squared-error and EM algorithms,"
    in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
    pp. 777-780, Montreal, Canada, May 17-21, 2004.

  185. Seungjin 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)

  186. Jong-Hoon Ahn, Sangki Kim, Jong-Hoon Oh, and Seungjin Choi (2004)
    "Multiple nonnegative matrix factorization of dynamic PET images,"
    in Proceedings of the Asian Conference on Computer Vision (ACCV),
    pp. 1009-1013, Jeju Island, Korea, January 27-30, 2004.



    2003

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

  188. Yong-Choon Cho, Seungjin Choi, Sung-Yang Bang (2003)
    "Non-negative component parts of sound for classification,"
    in Proceedings of the IEEE International Symposium on Signal Processing and Information Technology,
    Darmstadt, Germany, December 14-17, 2003.

  189. Seongcheol Park, Hyekyoung Lee, and Seungjin Choi (2003)
    "ICA+OPCA for artifact-robust classification of EEG data,"
    in Proceedings of the IEEE NNSP,
    pp. 585-594, Toulouse, France, September 17-19, 2003.

  190. Hyejin Kim, Seungjin Choi, and Sung-Yang Bang (2003)
    "Membership scoring via independent feature subspace analysis for grouping co-expressed genes,"
    in Proceedings of the IJCNN,
    Portland, Oregon, July 20-24, 2003.

  191. Hyekyoung Lee and Seungjin Choi (2003)
    "PCA+HMM+SVM for EEG pattern classification,"
    in Proceedings of the IEEE ISSPA,
    pp. 541-544, Paris, France, July 1-4, 2003.

  192. Seungjin Choi (2003)
    "Differential ICA,"
    in Proceedings of the ICANN/ICONIP (Lecture Notes in Computer Science 2714),
    pp. 68-75, Istanbul, Turkey, June 26-29, 2003.

  193. Hyejin Kim, Seungjin Choi, and Sung-Yang Bang (2003)
    "Subtype classification of human breast cancer via kernel methods and pattern analysis of clinical outcome over the feature space,"
    presented as a poster in Kernel Methods in Bioinformatics Workshop (at RECOMB)
    Berlin, Germany, April 14, 2003

  194. Seungjin Choi (2003)
    "Differential learning and random walk model,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 724-727, Hong Kong, April 6-10, 2003.

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



    2002

  196. Seungjin Choi, Heonseok Hong, Herve Glotin, and Frederic 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.

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

  198. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (2002),
    "Equivariant nonstationary source separation,"
    Neural Networks,
    vol. 15, no. 1, pp. 121-130, Jan. 2002.

  199. Hyekyoung Lee and Seungjin Choi (2002)
    "PCA-based linear dynamical systems for multichannel EEG classification,"
    in Proceedings of the ICONIP,
    pp. 745-749, Singapore, Nov. 19-22, 2002.

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

  201. Frederic Berthommier and Seungjin Choi (2002)
    "Comparative evaluation of CASA and BSS models for subband cocktail party speech segregation,"
    in Proceedings of the International Conference on Spoken Language Processing,
    Denver, Colorado, Sep. 16-20, 2002.

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

  203. Hyejin Kim, Seungjin Choi, and Sung-Yang Bang (2002)
    "ISAcycle: Independent subspace analysis of gene expression data,"
    Presented (as a poster) at Intelligent Systems for Molecular Biology,
    Edmonton, Canada, Aug. 3-7, 2002.

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

  205. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (2002)
    "Natural gradient learning for second-order nonstationary source separation,"
    in Proceedings of the IJCNN 2002,
    pp. 654-658, Honolulu, Hawaii, May 12-17, 2002.



    2001

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

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

  208. Seungjin Choi, Andrzej Cichocki, and Yannik. Deville (2001)
    "Differential decorrelation for nonstationary source separation,"
    in Proceedings of the ICA,
    pp. 319-322, San Diego, California, December 9-13, 2001.

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

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

  211. Inseon Jang and Seungjin Choi (2001)
    "Sequential least squares algorithms for blind co-channel signal separation,"
    in Proceedings of the ICA,
    pp. 601-604, San Diego, California, December 9-13, 2001.

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

  213. 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 Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference,
    pp. 2027-2030, San Diego, California, November 4-10, 2001.

  214. 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 Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference,
    pp. 1282-1285, San Diego, California, November 4-10, 2001.

  215. Seungjin Choi and Andrzej Cichocki (2001)
    "Correlation matching approach to source sepration in the presence of spatially correlated noise,"
    in Proceedings of the InternationalSymp. Signal Processing and Applications (IEEE ISSPA 2001),
    Kuala-Lumpur, Malaysia, August 13-16, 2001.

  216. Seungjin Choi, Andrzej Cichocki, and Adel Belouchrani (2001),
    "Blind separation of second-order nonstationary and temporally colored sources,"
    in Proceedings of the IEEE Workshop on Statistical Signal Processing (IEEE SSP 2001),
    pp. 444-447, Singapore, August 6-8, 2001.

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



    2000

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

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

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

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

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

  223. S. Choi, H. Hong, H. Glotin, and F. Berthommier (2000),
    "Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network,"
    in Proceedings of the International Conference on Spoken Language Processing (ICSLP 2000),
    Beijing, China, Oct. 16-20, 2000.

  224. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (2000),
    "Local stability analysis of flexible independent component analysis algorithm,"
    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Istanbul, Turkey, pp. 3426-3429, June 5-9, 2000.

  225. Seungjin Choi and Oyoung Lee (2000),
    "Factorial code representation of faces for recognition,"
    Lecture Notes in Computer Science 1811, Biologically Motivated Computer Vision,
    S. -W. Lee, H. H. Bulthoff, and T. Poggio, Eds., pp. 42-51, Springer, 2000.



    Before 2000

  226. Seungjin Choi and Andrzej 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.

  227. Seungjin Choi and Andrzej 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.

  228. 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 Proceedings of the International Conference on Speech Processing (ICSP'99),
    pp. 109-114, August 18-20 1999.

  229. Seungjin Choi (1999),
    "Acoustic source separation: Fundamental issues,"
    in Proceedings of the International Conference on Speech Processing (ICSP'99),
    pp. 505-510, August 18-20 1999.

  230. 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 Proceedings of the International Conference on Speech Processing (ICSP'99),
    pp. 97-102, August 18-20 1999.

  231. Seungjin Choi (1999),
    "Constrained minimum entropy and maximum negentropy for
    blind deconvolution and equalization,"

    in Proceedings of the International Conference on Telecommunications (ICT'99),
    pp. 13-17, June 15-18, 1999.

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

  233. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (1999),
    "Two spatio-temporal decorrelation learning algorithms and
    their application to multichannel blind deconvolutioin,"

    in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    Phoenix, Arizona, pp. 1085-1088, March 15-19 1999.

  234. A. Cichocki, L. Zhang, S. Choi, and S. Amari (1999),
    "Nolinear dynamic independent component analysis using state-space
    and neural network models,"
    in Proceedings of the International Workshop on Independent Component Analysis and
    Blind Signal Separation (ICA'99),

    Aussois, France, pp. 99-104, January 11-15 1999.

  235. S. Choi, S. Amari, A. Cichocki, and R. Liu (1999),
    "Natural gradient learning with a nonholonomic constraint for
    blind deconvolution of multiple channels,"

    in Proceedings of the International Workshop on Independent Component Analysis and
    Blind Signal Separation (ICA'99),

    Aussois, France, pp. 371-376, January 11-15 1999.

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

  237. Seungjin 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.

  238. Seungjin Choi, Ruey-Wen Liu, and Andrzej 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.

  239. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (1998),
    "Blind equalization of SIMO channels via spatio-temporal
    anti-Hebbian learning rule,"

    in Proceedings of the IEEE Workshop on Neural Networks for ' Signal Processing (NNSP'98),
    pp. 93-102, Cambridge, England, 31 August - 3 September 1998.

  240. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi Amari (1998),
    "Flexible independent component analysis,"
    in Proceedings of the IEEE Workshop on Neural Networks for Signal Processing (NNSP'98),
    pp. 83-92, Cambridge, England, 31 August - 3 September 1998.

  241. Seungjin Choi and Andrzej Cichocki (1998),
    "On-line sequential multichannel blind deconvolution: A deflation approach,"
    in Proceedings of the IEEE DSP Workshop, pp. 159-162, Utah, August 9-12 1998.

  242. 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 Proceedings of the NOLTA'97, Hawaii, pp. 731-734, November 1997.

  243. Seungjin Choi, Shun-Ichi Amari, and Andrzej 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.

  244. Seungjin Choi, Andrzej Cichocki, and Shun-Ichi 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.

  245. Seungjin Choi and Andrzej Cichocki (1997),
    "Adaptive blind separation of speech signals: Cocktail party problem"
    in Proceedings of the International Conference on Speech Processing (ICSP'97),
    pp. 617-622, 26-28 August 1997

  246. Seungjin Choi and Andrzej 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.

  247. Seungjin Choi and Andrzej Cichocki (1997),
    "A linear feedforward neural network with lateral feedback
    connections for blind source separation,"

    in Proceedings of the IEEE Signal Processing Workshop on Higher-order Statistics (HOS'97),
    Banff, Canada, pp. 349-353, July 21-23 1997.

  248. S. Choi, H Luo, and R. Liu (1997),
    "An adaptive system for direct multi-channel blind equalization,"
    in Proceedings of the The First Signal Processing Workshop on Signal Processing
    Advances in Wireless Communications (SPAWC'97),

    Paris, France, pp. 85-88, 16-18 April 1997.

  249. Seungjin Choi and Ruey-Wen Liu (1997),
    "A learning algorithm for the separation of non-zero skewness
    signals with no spurious equilibria,"

    in Proceedings of the The Fifth European Symposim on Artificial Neural Networks (ESANN'97),
    Bruges, Belgium, pp. 249-254, 16-18 April 1997.

  250. Seungjin Choi and Ruey-Wen 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.

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

  252. Seungjin 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.

  253. 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 the IS\&T/SPIE Symposium on Electronic
    Imaging: Science and Technology,

    San Jose, California, Feb. 1994.


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