Machine Learning Group

International Journal Articles

    2013

  1. Yunjun Nam, Bonkon Koo, Andrzej Cichocki, and Seungjin Choi (2013), "GOM-Face: GKP, EOG, and EMG-based multimodal interface with applications to humanoid robot control," IEEE Transactions on Biomedical Engineering, August 28, 2013. (accepted) ("will be available")
  2. Yoongsoo Kim, Seungmin Han, Seungjin Choi, and Daehee Hwang (2013), "Inference of dynamic networks using time-course data," Briefings in Bioinformatics, 2013. (accepted)
  3. Heeyoul Choi, Seungjin Choi, Yoonsuck Choe (2013), "Parameter learning for alpha-integration," Neural Computation, vol. 25, no. 6, pp. 1585-1604, June 2013.
  4. 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.
  5. 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.
  6. 2012

  7. 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.
  8. 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.
  9. 2011

  10. 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, October 2011.
  11. 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, September/October 2011.
  12. Shounan An, Jiho Yoo, and Seungjin Choi (2011), "Manifold-respecting discriminant nonnegative matrix factorization," Pattern Recognition Letters, April 15, 2011.
  13. 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.
  14. 2010

  15. 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.
  16. Jiho Yoo and Seungjin Choi (2010), "Nonnegative matrix factorization with orthogonality constraints," Journal of Computing Science and Engineering, June 2010.
  17. Hyekyoung Lee, Jiho Yoo, and Seungjin Choi (2010), " Semi-supervised nonnegative matrix factorization, " IEEE Signal Processing Letters, January 2010.
  18. 2009

  19. 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.
  20. Seunghak Lee and Seungjin Choi (2009), "Landmark MDS ensemble," Pattern Recognition, 2009. (in press)
  21. Jong Kyoung Kim and Seungjin Choi (2009), "Clustering with r-regular graphs," Pattern Recognition, 2009. (in press)
  22. 2008

  23. Sunho Park and Seungjin Choi (2008), "A constrained sequential EM algorithm for speech enhancement", Neural Networks, 2008.
  24. 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.
  25. Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, and Seungjin Choi (2008), "Nonnegative matrix factorization with alpha-divergence" Pattern Recognition Letters, 2008.
  26. 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.
  27. Sookjeong Kim, Jong Kyoung Kim, and Seungjin Choi (2008), "Independent arrays or independent time courses for gene expression time series data analysis," Neurocomputing, 2008.
  28. 2007

  29. 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)
  30. 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).
  31. 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.
  32. H. Choi and S. Choi (2007), "Robust kernel Isomap," Pattern Recognition, vol. 40, no. 3, pp. 853--862, March 2007. (Matlab codes)
  33. H. Choi and S. Choi (2007), "A relative trust-region algorithm for independent component analysis," Neurocomputing, 2007. vol. 70, pp. 1502-1510, March 2007.
  34. 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.
  35. 2006

  36. S. Choi (2006), "Differential learning algorithms for decorrelation and independent component analysis," Neural Networks, vol. 19, no. 10, pp. 1558-1567, December 2006.
  37. 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.
  38. J. Kim and S. Choi (2006), "Semidefinite spectral clustering," Pattern Recognition, vol. 39, no. 11, pp. 2025-2035, November 2006.
  39. 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.
  40. 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.
  41. S. Choi (2006), "Coupled Helmholtz machine for PCA," Electronics Letters, vol. 42, no. 16, pp. 936-937, August 3, 2006.
  42. 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.
  43. 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.
  44. 2005

  45. Y. Lee and S. Choi (2005), "Maximum within-cluster association," Pattern Recognition Letters, vol. 26, no. 10, pp. 1412-1422, July 2005.
  46. 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.
  47. 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.
  48. 2004

  49. H. Choi and S. Choi (2004), "Kernel Isomap," Electronics Letters, vol. 40, no. 25, pp. 1612-1613, December 2004.
  50. S. Choi (2004), "Sequential EM learning for subspace analysis," Pattern Recognition Letters, vol. 25, no. 14, pp. 1559-1567, October 2004.
  51. S. Choi (2004), "Independence or nonnegativity: constraints for sensory coding," International Congress Series, vol. 1269, pp. 38-41, August 2004.
  52. 2003

  53. 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.
  54. 2002

  55. 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.
  56. 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.
  57. S. Choi, A. Cichocki, and S. Amari (2002), "Equivariant nonstationary source separation," Neural Networks, vol. 15, no. 1, pp. 121-130, Jan. 2002.
  58. 2001

  59. 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.
  60. 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.
  61. 2000

  62. 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.
  63. 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.
  64. 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.
  65. 1999

  66. 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.
  67. 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.
  68. 1998

  69. 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.
  70. 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.
  71. 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.
  72. 1995

  73. 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.

International Conference Papers

    2014

  1. 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. ("will be available")
  2. Yong-Deok Kim and Seungjin Choi (2014), "Scalable 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. ("will be available")
  3. 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. ("will be available")
  4. 2013

  5. 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.
  6. 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%)
  7. 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%)
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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%)

    2012

  14. 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. (accepted) ("will be available")
  15. 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. (accepted) ("will be available")
  16. 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. (accepted) ("will be available")
  17. 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), (accepted) ("will be available")
  18. 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), (accepted) ("will be available")
  19. 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. (accepted) ("will be available")
  20. 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%) ("will be available")
  21. 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)
  22. 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)
  23. 2011

  24. 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%)
  25. Jeong-Min Yun and Seungjin Choi (2011), "Patch-based Markov random fields for fast face occlusion recovery," in Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP-2011),
  26. 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%)
  27. 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%)
  28. 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), (acceptance rate = 400/1325 = 30%)
  29. 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),
  30. 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).
  31. 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),

    2010

  32. 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)
  33. 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" )
  34. 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" )
  35. 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%)
  36. Heeyoul Choi, Anup Katake and 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.
  37. 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.
  38. 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.
  39. 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.
  40. 2009

  41. 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% )
  42. 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. (to appear)
  43. 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)
  44. 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% )
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 2008

  52. 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.
  53. 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 )
  54. 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% )
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 2007

  61. 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.
  62. 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 )
  63. 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 )
  64. S. Choi (2007) "Wake-sleep PCA," in Proceedings of International Joint Conference on Neural Networks ( IJCNN-2007 ), Orlando, Florida, August 12-17, 2007.
  65. 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.
  66. 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% )
  67. 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)
  68. 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)
  69. 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)
  70. 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)
  71. 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 )
  72. 2006

  73. 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.
  74. 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.
  75. 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 )
  76. 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.
  77. 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.
  78. 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.
  79. 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
  80. 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
  81. 2005

  82. 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
  83. 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
  84. 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
  85. 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
  86. 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.
  87. 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.
  88. 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.
  89. 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.
  90. 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.
  91. 2004

  92. 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)
  93. 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.
  94. 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.
  95. 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)
  96. 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.
  97. 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.
  98. 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)
  99. 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.
  100. 2003

  101. 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.
  102. 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.
  103. 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.
  104. 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.
  105. S. Choi (2003) "Differential ICA," in Proc. ICANN/ICONIP (Lecture Notes in Computer Science 2714), pp. 68-75, Istanbul, Turkey, June 26-29, 2003.
  106. H. Kim, S. Choi, and S. -Y. 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
  107. S. Choi (2003) "Differential learning and random walk model," in Proc. ICASSP, pp. 724-727, Hong Kong, April 6-10, 2003.
  108. 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.
  109. 2002

  110. 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.
  111. 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.
  112. 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.
  113. 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.
  114. H. Kim, S. Choi, and S. 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.
  115. 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.
  116. S. Choi (2002) "Sequential EM learning for subspace analysis," in Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.
  117. S. Choi (2002) "A symmetric-definite pencil approach to source separation," in Proc. ITC-CSCC, Phuket, Thailand, July 16-19, 2002.
  118. 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.
  119. 2001

  120. 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.
  121. 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.
  122. 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.
  123. 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.
  124. 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.
  125. 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.
  126. 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.
  127. 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.
  128. 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.
  129. 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.
  130. 2000

  131. 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.
  132. 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.
  133. 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.
  134. 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.
  135. S. Choi and O. 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.
  136. 1999

  137. S. Choi and O. Lee (1999), "Nonstationary source separation," in Proc. IEEE Region 10 Conference (TENCON'99), September 15-17 1999.
  138. 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.
  139. S. Choi (1999), "Acoustic source separation: Fundamental issues," in Proc. Int'l Conf. Speech Processing (ICSP'99), pp. 505-510, August 18-20 1999.
  140. 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.
  141. 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.
  142. 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.
  143. 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.
  144. 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.
  145. 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.
  146. 1998

  147. 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.
  148. 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.
  149. 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.
  150. 1997

  151. 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.
  152. 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.
  153. 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.
  154. 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.
  155. 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.
  156. 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.
  157. 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.
  158. 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.
  159. 1996

  160. 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.
  161. 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.
  162. 1994

  163. 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.
  164. Miscellaneous International Conference Papers

  165. 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.
  166. S. Choi (2003) "Sensory coding strategies: Independence or nonnegativity," presented as an invited talk in NBNI-2003, Nov. 21-22, 2003.
  167. 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)
  168. 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.
  169. 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.
  170. S. Choi (2001), "Blind speech dereverberation using multiple microphones," accepted for presentation at Int'l Conf. Speech Processing. Taejon, Korea, Aug. 22-24, 2001.
  171. S. Choi (2000), "Approximate Maximum Likelihood Source Separation," in Proc. Asia-Pacific Conference on Communications (APCC 2000), Seoul, Korea, Oct. 30 - Nov. 2, 2000.
  172. 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.
  173. 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.
  174. 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.
  175. 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.
  176. 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.
  177. 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.
  178. 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.
  179. S. Choi (1998), "Blind Multiuser Signal Separation using Antenna Arrays", in Proc. CDMA International Conference, pp. 529-533, October 27-30, 1998.
  180. S. Choi (1998), "Linear neural networks with FIR synapses for blind equalization," in Proc. ITC-CSCC'98, pp. 1081-1084, July 13-15 1998.
  181. S. Choi (1998), "Adaptive blind signal copy for antenna arrays," in Proc. ITC-CSCC'98 pp. 641-644, July 13-15 1998.

MLG Technical Reports

    2007

  1. Sun Ho Lee and Seungjin Choi (POSTECH-MLG-2007-001), "Two-dimensional canonical correlation analysis," technical report (longer version where multiple data sets are also considered).

Recent Papers

  1. 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. ("will be available")
  2. Yong-Deok Kim and Seungjin Choi (2014), "Scalable 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. ("will be available")
  3. 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. ("will be available")
  4. 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.
  5. 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%)