Lee, Te-Won

13 publications

CVPR 2006 Motion Patterns: High-Level Representation of Natural Video Sequences Duangmanee Putthividhya, Te-Won Lee

JMLR 2003 A Maximum Likelihood Approach to Single-Channel Source Separation Gil-Jin Jang, Te-Won Lee

NeCo 2003 Dictionary Learning Algorithms for Sparse Representation Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski

NeCo 2003 Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski

NeCo 2003 Variational Bayesian Learning of ICA with Missing Data Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski

NeurIPS 2002 A Probabilistic Approach to Single Channel Blind Signal Separation Gil-jin Jang, Te-Won Lee

NeurIPS 2002 Handling Missing Data with Variational Bayesian Learning of ICA Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski

JMLR 2002 Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski

NeurIPS 2000 Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski

NeCo 1999 Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski

NeurIPS 1998 Unsupervised Classification with Non-Gaussian Mixture Models Using ICA Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski

NeurIPS 1997 Extended ICA Removes Artifacts from Electroencephalographic Recordings Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski

NeurIPS 1996 Blind Separation of Delayed and Convolved Sources Te-Won Lee, Anthony J. Bell, Russell H. Lambert