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Te-Won Lee: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
    The Spectral Independent Components of Natural Scenes. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2000, pp:527-534 [Conf]
  2. Duangmanee Putthividhya, Te-Won Lee
    Motion Patterns: High-Level Representation of Natural Video Sequences. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:1908-1915 [Conf]
  3. Intae Lee, Taesu Kim, Te-Won Lee
    Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:625-632 [Conf]
  4. Taesu Kim, Torbjørn Eltoft, Te-Won Lee
    Independent Vector Analysis: An Extension of ICA to Multivariate Components. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:165-172 [Conf]
  5. Torbjørn Eltoft, Taesu Kim, Te-Won Lee
    Multivariate Scale Mixture of Gaussians Modeling. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:799-806 [Conf]
  6. Hyun-Jin Park, Te-Won Lee
    A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:1253-1261 [Conf]
  7. Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister
    Improving the Performance of Infomax Using Statistical Signal Processing Techniques. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:535-540 [Conf]
  8. Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
    Handling Missing Data with Variational Bayesian Learning of ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:881-888 [Conf]
  9. Gil-Jin Jang, Te-Won Lee
    A Probabilistic Approach to Single Channel Blind Signal Separation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1173-1180 [Conf]
  10. Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski
    Extended ICA Removes Artifacts from Electroencephalographic Recordings. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  11. Te-Won Lee, Anthony J. Bell, Russell H. Lambert
    Blind Separation of Delayed and Convolved Sources. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:758-764 [Conf]
  12. Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
    Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:508-514 [Conf]
  13. Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
    Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:866-872 [Conf]
  14. Hyun-Jin Park, Te-Won Lee
    Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  15. Shun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.
    Blind signal separation and independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:1-5 [Journal]
  16. Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh
    Learning statistically efficient features for speaker recognition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:329-348 [Journal]
  17. Hyun-Jin Park, Te-Won Lee
    Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:13-15, pp:1513-1528 [Journal]
  18. Gil-Jin Jang, Te-Won Lee
    A Maximum Likelihood Approach to Single-channel Source Separation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1365-1392 [Journal]
  19. Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
    Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:99-114 [Journal]
  20. Te-Won Lee, Jean-Francois Cardoso, Erkki Oja, Shun-ichi Amari
    Introduction to Special Issue on Independent Components Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1175-1176 [Journal]
  21. Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski
    Variational Bayesian Learning of ICA with Missing Data. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:8, pp:1991-2011 [Journal]
  22. Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski
    Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:2, pp:397-417 [Journal]
  23. Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski
    Dictionary Learning Algorithms for Sparse Representation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:2, pp:349-396 [Journal]
  24. Te-Won Lee, Mark Girolami, Terrence J. Sejnowski
    Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:2, pp:417-441 [Journal]
  25. Jong-Hwan Lee, Te-Won Lee, Ho-Young Jung, Soo-Young Lee
    On the Efficient Speech Feature Extraction Based on Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:15, n:3, pp:235-245 [Journal]
  26. Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski
    ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:10, pp:1078-1089 [Journal]
  27. Suman K. Mitra, Te-Won Lee, Michael H. Goldbaum
    A Bayesian network based sequential inference for diagnosis of diseases from retinal images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:4, pp:459-470 [Journal]
  28. Te-Won Lee, Michael S. Lewicki
    Unsupervised image classification, segmentation, and enhancement using ICA mixture models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2002, v:11, n:3, pp:270-279 [Journal]
  29. Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee
    Generative factor analyzed HMM for automatic speech recognition. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2005, v:45, n:4, pp:435-454 [Journal]
  30. Erik M. Visser, Manabu Otsuka, Te-Won Lee
    A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. [Citation Graph (0, 0)][DBLP]
    Speech Communication, 2003, v:41, n:2-3, pp:393-407 [Journal]
  31. Sooyong Choi, Te-Won Lee, Daesik Hong
    Adaptive error-constrained method for LMS algorithms and applications. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2005, v:85, n:10, pp:1875-1897 [Journal]
  32. Intae Lee, Te-Won Lee
    On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. [Citation Graph (0, 0)][DBLP]
    ISCAS, 2007, pp:2982-2985 [Conf]
  33. Intae Lee, Taesu Kim, Te-Won Lee
    Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2007, v:87, n:8, pp:1859-1871 [Journal]

  34. Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. [Citation Graph (, )][DBLP]


  35. Adaptive independent vector analysis for the separation of convoluted mixtures using EM algorithm. [Citation Graph (, )][DBLP]


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