Te-Won Lee

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37EEJong-Hwan Lee, Te-Won Lee, Ferenc A. Jolesz, Seung-Schik Yoo: Multivariate Analysis of fMRI Group Data Using Independent Vector Analysis. ICA 2007: 633-640
36EEIntae Lee, Te-Won Lee: On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. ISCAS 2007: 2982-2985
35EETaesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee: Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Transactions on Audio, Speech & Language Processing 15(1): 70-79 (2007)
34EEIntae Lee, Te-Won Lee: On the Assumption of Spherical Symmetry and Sparseness for the Frequency-Domain Speech Model. IEEE Transactions on Audio, Speech & Language Processing 15(5): 1521-1528 (2007)
33EEIntae Lee, Taesu Kim, Te-Won Lee: Fast fixed-point independent vector analysis algorithms for convolutive blind source separation. Signal Processing 87(8): 1859-1871 (2007)
32EEDuangmanee Putthividhya, Te-Won Lee: Motion Patterns: High-Level Representation of Natural Video Sequences. CVPR (2) 2006: 1908-1915
31EETaesu Kim, Torbjørn Eltoft, Te-Won Lee: Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA 2006: 165-172
30EEIntae Lee, Taesu Kim, Te-Won Lee: Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA 2006: 625-632
29EETorbjørn Eltoft, Taesu Kim, Te-Won Lee: Multivariate Scale Mixture of Gaussians Modeling. ICA 2006: 799-806
28EEHyun-Jin Park, Te-Won Lee: Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution. Neurocomputing 69(13-15): 1513-1528 (2006)
27EESuman K. Mitra, Te-Won Lee, Michael H. Goldbaum: A Bayesian network based sequential inference for diagnosis of diseases from retinal images. Pattern Recognition Letters 26(4): 459-470 (2005)
26EESooyong Choi, Te-Won Lee, Daesik Hong: Adaptive error-constrained method for LMS algorithms and applications. Signal Processing 85(10): 1875-1897 (2005)
25EEKaisheng Yao, Kuldip K. Paliwal, Te-Won Lee: Generative factor analyzed HMM for automatic speech recognition. Speech Communication 45(4): 435-454 (2005)
24EEHyun-Jin Park, Te-Won Lee: A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. ICA 2004: 1253-1261
23EEHyun-Jin Park, Te-Won Lee: Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. NIPS 2004
22EETe-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari: Introduction to Special Issue on Independent Components Analysis. Journal of Machine Learning Research 4: 1175-1176 (2003)
21EEGil-Jin Jang, Te-Won Lee: A Maximum Likelihood Approach to Single-channel Source Separation. Journal of Machine Learning Research 4: 1365-1392 (2003)
20EEKenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski: Dictionary Learning Algorithms for Sparse Representation. Neural Computation 15(2): 349-396 (2003)
19EEEizaburo 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. Neural Computation 15(2): 397-417 (2003)
18EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Bayesian Learning of ICA with Missing Data. Neural Computation 15(8): 1991-2011 (2003)
17EEErik M. Visser, Manabu Otsuka, Te-Won Lee: A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments. Speech Communication 41(2-3): 393-407 (2003)
16EEGil-Jin Jang, Te-Won Lee: A Probabilistic Approach to Single Channel Blind Signal Separation. NIPS 2002: 1173-1180
15EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888
14EETe-Won Lee, Michael S. Lewicki: Unsupervised image classification, segmentation, and enhancement using ICA mixture models. IEEE Transactions on Image Processing 11(3): 270-279 (2002)
13EEKwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research 3: 99-114 (2002)
12 Jong-Hwan Lee, Te-Won Lee, Ho-Young Jung, Soo-Young Lee: On the Efficient Speech Feature Extraction Based on Independent Component Analysis. Neural Processing Letters 15(3): 235-245 (2002)
11EEShun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.: Blind signal separation and independent component analysis. Neurocomputing 49(1-4): 1-5 (2002)
10EEGil-Jin Jang, Te-Won Lee, Yung-Hwan Oh: Learning statistically efficient features for speaker recognition. Neurocomputing 49(1-4): 329-348 (2002)
9EETe-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: The Spectral Independent Components of Natural Scenes. Biologically Motivated Computer Vision 2000: 527-534
8 Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski: Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes. NIPS 2000: 866-872
7EETe-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. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000)
6EETe-Won Lee: Independent component analysis: theory and applications [Book Review]. IEEE Transactions on Neural Networks 10(4): 982-982 (1999)
5 Te-Won Lee, Mark Girolami, Terrence J. Sejnowski: Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. Neural Computation 11(2): 417-441 (1999)
4EETe-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
3 Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister: Improving the Performance of Infomax Using Statistical Signal Processing Techniques. ICANN 1997: 535-540
2 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. NIPS 1997
1EETe-Won Lee, Anthony J. Bell, Russell H. Lambert: Blind Separation of Delayed and Convolved Sources. NIPS 1996: 758-764

Coauthor Index

1V. David Sánchez A. [11]
2Shun-ichi Amari [11] [22]
3Hagai Attias (Hagai Thomas Attias) [35]
4Anthony J. Bell [1]
5Jean-François Cardoso [22]
6Kwokleung Chan [13] [15] [18]
7Sooyong Choi [26]
8Eizaburo Doi [19]
9Torbjørn Eltoft [29] [31]
10Kjersti Engan [20]
11Mark A. Girolami (Mark Girolami) [5]
12Michael H. Goldbaum [27]
13Daesik Hong [26]
14Colin Humphries [2]
15Aapo Hyvärinen [11]
16Toshio Inui [19]
17Vicente Iragui [2]
18Gil-Jin Jang [10] [16] [21]
19Ferenc A. Jolesz [37]
20Ho-Young Jung [12]
21Tzyy-Ping Jung [2]
22Taesu Kim [29] [30] [31] [33] [35]
23Bert-Uwe Koehler [3]
24Kenneth Kreutz-Delgado [20]
25Russell H. Lambert [1]
26Intae Lee [30] [33] [34] [36]
27Jong-Hwan Lee [12] [37]
28Soo-Young Lee [11] [12] [35]
29Michael S. Lewicki [4] [7] [14]
30Scott Makeig [2]
31Martin J. McKeown [2]
32Suman K. Mitra [27]
33Joseph F. Murray [20]
34Yung-Hwan Oh [10]
35Erkki Oja [22]
36Reinhold Orglmeister [3]
37Manabu Otsuka [17]
38Kuldip K. Paliwal [25]
39Hyun-Jin Park [23] [24] [28]
40Duangmanee Putthividhya [32]
41Bhaskar D. Rao [20]
42Terrence J. Sejnowski [2] [4] [5] [7] [8] [9] [13] [15] [18] [19] [20]
43Erik M. Visser [17]
44Thomas Wachtler [8] [9] [19]
45Kaisheng Yao [25]
46Seung-Schik Yoo [37]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)