Te-Won Lee

2007
37	EE	Jong-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
36	EE	Intae Lee, Te-Won Lee: On Modelling the Frequency Components of Speech with Norm-Invariant Joint Densities. ISCAS 2007: 2982-2985
35	EE	Taesu 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)
34	EE	Intae 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)
33	EE	Intae 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)
2006
32	EE	Duangmanee Putthividhya, Te-Won Lee: Motion Patterns: High-Level Representation of Natural Video Sequences. CVPR (2) 2006: 1908-1915
31	EE	Taesu Kim, Torbjørn Eltoft, Te-Won Lee: Independent Vector Analysis: An Extension of ICA to Multivariate Components. ICA 2006: 165-172
30	EE	Intae Lee, Taesu Kim, Te-Won Lee: Complex FastIVA: A Robust Maximum Likelihood Approach of MICA for Convolutive BSS. ICA 2006: 625-632
29	EE	Torbjørn Eltoft, Taesu Kim, Te-Won Lee: Multivariate Scale Mixture of Gaussians Modeling. ICA 2006: 799-806
28	EE	Hyun-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)
2005
27	EE	Suman 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)
26	EE	Sooyong Choi, Te-Won Lee, Daesik Hong: Adaptive error-constrained method for LMS algorithms and applications. Signal Processing 85(10): 1875-1897 (2005)
25	EE	Kaisheng Yao, Kuldip K. Paliwal, Te-Won Lee: Generative factor analyzed HMM for automatic speech recognition. Speech Communication 45(4): 435-454 (2005)
2004
24	EE	Hyun-Jin Park, Te-Won Lee: A Hierarchical ICA Method for Unsupervised Learning of Nonlinear Dependencies in Natural Images. ICA 2004: 1253-1261
23	EE	Hyun-Jin Park, Te-Won Lee: Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution. NIPS 2004
2003
22	EE	Te-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)
21	EE	Gil-Jin Jang, Te-Won Lee: A Maximum Likelihood Approach to Single-channel Source Separation. Journal of Machine Learning Research 4: 1365-1392 (2003)
20	EE	Kenneth 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)
19	EE	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. Neural Computation 15(2): 397-417 (2003)
18	EE	Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Variational Bayesian Learning of ICA with Missing Data. Neural Computation 15(8): 1991-2011 (2003)
17	EE	Erik 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)
2002
16	EE	Gil-Jin Jang, Te-Won Lee: A Probabilistic Approach to Single Channel Blind Signal Separation. NIPS 2002: 1173-1180
15	EE	Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski: Handling Missing Data with Variational Bayesian Learning of ICA. NIPS 2002: 881-888
14	EE	Te-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)
13	EE	Kwokleung 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)
11	EE	Shun-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)
10	EE	Gil-Jin Jang, Te-Won Lee, Yung-Hwan Oh: Learning statistically efficient features for speaker recognition. Neurocomputing 49(1-4): 329-348 (2002)
2000
9	EE	Te-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
7	EE	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. IEEE Trans. Pattern Anal. Mach. Intell. 22(10): 1078-1089 (2000)
1999
6	EE	Te-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)
1998
4	EE	Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski: Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. NIPS 1998: 508-514
1997
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
1996
1	EE	Te-Won Lee, Anthony J. Bell, Russell H. Lambert: Blind Separation of Delayed and Convolved Sources. NIPS 1996: 758-764

Coauthor Index

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

Colors in the list of coauthors