List of Publications

Books_________________________________________________________________________________

B1.	Published	Te-Won Lee, "Independent Component Analysis: Theory and Applications", Kluwer Academic Publishers, Boston, ISBN: 0 7923 8261 7, September 1998.
		(over 1000 copies sold)
B2.	Published	Proceedings of the "International Conference on Independent Component Analysis and Blind Source Separation ", 751 pages, December 2001, www.ica2001.org, Editors: Lee, Jung, Makeig, Sejnowski

Bookchapters___________________________________________________________________

C1.	Published	T.-W. Lee, A. Bell and R. Lambert "Blind Separation of Delayed and Convolved Sources", Advances in Neural Information Processing Systems 9, pp. 758-764, MIT Press, Cambridge, 1997.
C2.	Published	T.P Jung, C. Humphries, T.-W. Lee, S. Makeig, M. McKeown, V. Iragui, T. Sejnowski. “Extended ICA Removes Artifacts from Electroencephalographic Recordings” Advances in Neural Information Processing Systems 10, pp. 894-900, MIT Press, Cambridge, 1998.
C3.	Published	T.-W. Lee, M.S. Lewicki, T.J. Sejnowski "Unsupervised Classification with non-Gaussian Mixture Models using ICA", Advances in Neural Information Processing Systems 11, pp. 508-514, MIT Press, Cambridge, 1999.
C4.	Published, Inv. chapter	T.-W. Lee, M.S. Lewicki "Image Processing Methods Using ICA Mixture Models", ICA: Principles and Practice, Cambridge University Press, 234-254, April 2001.
C5.	Published	T.-W. Lee, T. Wachtler and T.J. Sejnowski "Color Opponency Constitutes A Sparse Representation For the Chromatic Structure of Natural Scenes" Advances in Neural Information Processing Systems 13, 866-872, MIT Press, Cambridge, 2001
C6.	Published	G.-J. Jang and T.-W. Lee "A probabilistic approach to single channel source separation" Advances in Neural Information Processing Systems 15, MIT Press, Cambridge, 2003
C7.	Published	K.-L. Chan, T.-W. Lee and T.J. Sejnowski"Handling Missing Data with Variational Learning of ICA" Advances in Neural Information Processing Systems 15, MIT Press, Cambridge, 2003
C8.	To appear, Inv. chapter	T.-W. Lee, T.P. Jung "Applications of ICA to Biomedical Signal Separation", Quantative Methods in Psychology
C9.	In press	H.-J. Park, T-W. Lee "Modeling Nonlinear Dependencies in Natural Images Using Mixture of Laplacian Distribution" Advances in Neural Information Processing Systems 17, MIT Press, Cambridge, 2004

JOURNALS__________________________________________________________________________

J1.	Published	M. Motamed, A. Zakhor, S. Sanders, T.-W. Lee "Spectral Characteristics of the Double Loop Sigma Delta Modulator", IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Jan. 1998, vol.45, (no.1):144-7
J2.	Published	M. McKeown, T.P. Jung, S. Makeig, G. Brown, S. Kindermann, T.-W. Lee, T. Sejnowski. “Statistically independent activity patterns in functional magnetic resonance imaging data during the stroop colornaming task.”, Proceedings of the National Academy of Science.95: 803-10, Jan. 1998.
J3.	Published	T.-W. Lee, M. Girolami and T. Sejnowski " Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources", Neural Computation, MIT Press, 1999, Vol.11(2): 609-633.
J4.	Published	T.-W. Lee, M. Girolami and T. Sejnowski "A unifying framework for independent component analysis", Computers and Mathematics with Application, Vol 39(11), 1-21, March 2000.
J5.	Published	T.P Jung, C. Humphries, T.-W. Lee, S. Makeig, M. McKeown, V. Iragui, T. Sejnowski. “Removing Electroencephalographic Artifacts by Blind Source Separation” Psychophysiology, 37:167-78, March 2000.
J6.	Published	T.-W. Lee, M. Lewicki, M. Girolami, T. Sejnowski " Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Processing Letters, Vol 6, no 4, April 1999.
J7.	Published	T.-W. Lee, M.S. Lewicki and T.J. Sejnowski "Unsupervised Classification with non-Gaussian Sources and Automatic Context Switching in Blind Signal Separation ", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 22(10), 1078-1089, Oct. 2000.
J8.	Published	H.-M. Park, H.-Y. Jung, T.-W. Lee and S.-Y. Lee "On Subband-Based Blind Signal Separation for Noisy Speech Recognition", Electronic Letters, Vol. 35(23), 2011-2012, 1999.
J9.	Published	U.-M. Bae, T.-W. Lee and S.-Y. Lee “Blind signal separation in teleconferencing using the ICA mixture model” Electronic Letters, Vol. 37(7), 680-682, 2000.
J10.	Published	T. Wachtler, T.-W. Lee and T.J. Sejnowski "The Chromatic Structure of Natural Scenes", Journal of the Optical Society of America A, Vol 18(1), 65-77, Jan. 2001.
J11.	Published, invited paper	T.-P. Jung, S. Makeig, M. McKeown, A. J. Bell, T.-W. Lee, T. J. Sejnowski "Imaging Brain Dynamics Using Independent Component Analysis", IEEE Proceedings, 89 (7): 1107-22, August 2001.
J12.	Published	J-H. Lee, H-J. Jung, T-W. Lee and S-Y. Lee. "Speech enhancement with MAP estimation and ICA-based speech features" Electronic Letters, Vol 36(17), 1506-1507, 2000.
J13.	Published	H.-M. Park, H.-Y. Jung, T.-W. Lee and S.-Y. Lee "Independent Component Analysis on a Subband Domain for Robust Speech Recognition", The Journal of the Institute of Electronics Engineers of Korea, 2000.
J14	Published	T.-W. Lee "Book Review: Advances in Independent Component Analysis, Editor (Mark Girolami)" IEEE Transactions on Neural Networks, November 2001.
J15	Published	T.-W. Lee and M.S. Lewicki "Unsupervised Classification, Segmentation, De-noising of Images using ICA Mixture Models" IEEE Transactions on Image Processing, 270 – 279, March 2002.
J16	Published	G.-J. Jang, T-W. Lee and Y.-H. Oh " Speaker Recognition Using ICA Mixture Models " Neurocomputing 49, 2002, 329-348, special issue on ICA and BSS.
J17.	Published	M.H. Goldbaum, P.A. Sample, J. M. Williams K.L. Chan, T.W. Lee, D. Najafi, T.J. Sejnowski, R.N. Weinreb. “Comparing Machine Classifiers for Diagnosing Glaucoma from Standard Automated Perimetry”, Investigative Ophthalmology and Visual Science (IOVS) Jan. 2002, 43 (1), 162-169.
J18.	Published	P.A. Sample, M.H. Goldbaum, K.L. Chan, C. Boden, T.W. Lee, C. Vasile, A. Boehm, T.J. Sejnowski, C. Johnson, R.N. Weinreb. “Using Machine Classifiers to Identify Change in Standard Visual Fields of Glaucoma Coverts”, Investigative Ophthalmology and Visual Science, August 2002, Vol. 43, No. 8, 2660-2665
J19	Published	Lee, J.-H., Lee, T.-W., Jung, H.-Y., and Lee, S.-Y. “On the efficient speech feature extraction based on independent component analysis”. Neural Processing Letters, 15(3).
J20.	Published	T.-W. Lee, T. Wachtler and T.J. Sejnowski "Color Opponency Constitutes A Sparse Representation For the Chromatic Structure of Natural Scenes" Vision Research, 42 (17), 2002, 2095-2103
J21.	Published	K.-L. Chan, T-W. Lee, M.H.Goldbaum, P.A.Sample, R.N. Weinreb and T.J. Sejnowski. "Comparison of Machine Learning and Traditional Classifiers in Glaucoma Diagnosis", IEEE Transactions on Biomedical Engineering, Vol. 49, No. 9, September 2002, 963-974
J22.	Published	Bowd, C., Chan, K., Zangwill, L. M., Goldbaum, M. H., Lee, T.-W., Sejnowski, T. J., and Weinreb, R. N. “Comparing neural network and linear discriminant functions for glaucoma detection using confocal scanning laser ophthalmoscopy of the optic disc”, Investigative Ophthalmology & Visual Science, 2002, 43: 3444-3454.
J23.	Published	K.-L. Chan, T-W. Lee and T.S. Sejnowski "Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components" Journal of Machine Learning Research, Vol 3, 99-114, 2002.
J24.	Published	S.-I. Amari, A. Hyvarinen, S.-Y. Lee, T.-W. Lee and V.D. Sanchez “Blind signal separation and independent component analysis”, Neurocomputing, 49 (2002) 1-5
J25.	Published	K. Kreutz-Delgado, J. F. Murray, B. D. Rao, K. Engan, T.-W. Lee and T. J. Sejnowski. “Dictionary Learning Algorithms for Sparse Representation”, Neural Computation 15, 349-396, 2003
J26.	Published	G.-J. Jang, T.-W. Lee, Y.-H. Oh “Single Channel Signal Separation Using Time-Domain Basis Functions” IEEE Signal Processing Letters, Vol 10, no 6, 168-171, 2003.
J27.	Published	S-Y. Choi, T-W. Lee, "Equalization Based On Negentropy Minimization", IEE Electronics Letters, Vol 39, No 7, April. 2003.
J28.	Published	E. Doi; T. Inui; T.-W. Lee; T. Wachtler; T. J. Sejnowski “Spatio-chromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes” Neural Computation 15, 397-417, 2003
J29.	Published	O.-W. Kwon, K.-L. Chan, T.-W. Lee, “Speech Feature Analysis Using Variational Bayesian PCA” IEEE Signal Processing Letters, Vol 10 , no 5, 137-140, 2003.
J30.	Published	E. Visser, M. Otsuka, T-W. Lee "A Spatio-Temporal Speech Enhancement Scheme for Robust Speech Recognition in Noisy Environments " Speech Communications, Vol 41, Issues 2-3, Pages 393-407, 2003.
J31.	Published	K.-L. Chan, T.-W. Lee and T.J. Sejnowski"Variational Bayesian Learning of ICA with Missing Data" Neural Computation, MIT Press, Cambridge, Vol 15, Issue 8, 1991-2011, 2003
J32.	Published	O-W. Kwon, T-W. Lee "A Simple Speech/Non-Speech Classifier Using Adaptive Boosting " TheJournal of the Acoustic Society of Korea, Vol 22, No 3E, 1-9, Sept. 2003.
J33.	Published	G.-J. Jang and T.-W. Lee "A maximum likelihood approach to single channel source separation" Journal of Machine Learning Research, MIT Press, Cambridge, 2003
J34.	Published	S-Y. Choi, T-W. Lee, "'A Negentropy Minimization Approach to Adaptive Equalization", IEEE Transactions on Neural Networks, Special Issue on Information-Theoretic Approaches, July 2004.
J35.	Published	E. Visser, T-W. Lee "An information-theoretic methodology for the resolution of pure component spectra without prior information using spectroscopic measurements" Chemometrics and Intelligent Laboratory Systems, 2004.
J36.	Published	K. Yao and T.-W. Lee, “Sequential Monte Carlo Method for Time-Varying Noise Estimation for Speech Enhancement and Recognition", EURASIP Journal on Applied Signal Processing.
J37.	Published	O-W. Kwon, T-W. Lee "Phoneme Recognition using ICA-based feature extraction and transformation" Signal Processing, June 2004
J38.	Published	S. Mitra, T.-W. Lee, M. Goldbaum, “A Bayesian Network Based Sequential Inference for Diagnosis of Diseases from Retinal Images”, Pattern Recognition Letters
J39.	In press	P.A. Sample, M.H. Goldbaum, K.L. Chan, C. Boden, T.W. Lee, C. Vasile, A. Boehm, T.J. Sejnowski, C. Johnson, R.N. Weinreb. “Cluster analysis with variational Bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects”, Investigative Ophthalmology and Visual Science
J40.	In press, Invited paper	H.-J. Park, T-W. Lee "Unsupervised Learning of Nonlinear Dependencies in Natural Images" International Journal on Image Science Technology
J41.	Published	L. M. Zangwill, K. Chan, C. Bowd, J. Hao, T.-W. Lee, R. N. Weinreb, T. J. Sejnowski, and M. H. Goldbaum, “Heidelberg Retina Tomograph Measurements of the Optic Disc and Parapapillary Retina for Detecting Glaucoma Analyzed by Machine Learning Classifiers” 2004 45: 3144-3151.

Proceedings______________________________________________________________________

P1.	Published	M. Motamed, A. Zakhor, S. Sanders, T.-W. Lee "Spectral Characteristics of the Double Loop Sigma Delta Modulator", IEEE International Symposium on Circuits and Systems, vol.1, pp. 457-460, Atlanta, May1996.
P2.	Published	T.-W. Lee and R. Orglmeister "A Contextual Blind Separation of Delayed and Convolved Sources", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1199-1203, Munich, April 1997.
P3.	Published	T.-W. Lee, A. Bell and R. Orglmeister "Blind Separation of Real World Recordings", IEEE International Conference on Neural Networks, pp. 2129-2135, Houston, June 1997.
P4.	Published	T.-W. Lee and T. Sejnowski " Independent Component Analysis for Sub-Gaussian and Super-Gaussian Mixtures ", 4th Joint Symposium on Neural Computation, Institute for Neural Computation, vol. 7, pp. 132-139, June 1997.
P5.	Published	T.-W. Lee, B. Koehler and R. Orglmeister "Blind Separation of Nonlinear Mixing Models", IEEE International Workshop on Neural Networks for Signal Processing, pp. 406-415, Sept. 1997.
P6.	Published	S. Makeig, T.P. Jung, T.-W. Lee, T. Sejnowski. “Independent component analysis of steady-state responses“ Symposium on steady-state responses for the Soc. For Psychophysiology Research (SPR), 1997.
P7.	Published	B.U. Koehler, T.-W. Lee and R. Orglmeister. “Improving The Performance of Infomax Using Statistical Signal Processing Techniques”, International Conference in Artificial Neural Networks (ICANN). pp. 535-540, Oct. 1997.
P8.	Published, invited paper	T.-W. Lee, A. Ziehe, R. Orglmeister, T. Sejnowski " Combining time-delayed decorrelation and infomax: Towards solving the cocktail party problem", IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1249-1252, Seattle, May 1998.
P9.	Published	T.P Jung, C. Humphries, T.-W. Lee, M. McKeown, V. Iragui, S. Makeig T. Sejnowski. “Removing Electroencephalographic Artifacts: Comparison between ICA and PCA. IEEE International Workshop on Neural Networks for Signal Processing, pp. 63-72, Cambridge, June 1998.
P10.	Published	T.-W. Lee, M.S. Lewicki and T.J. Sejnowski "ICA Mixture Models For Unsupervised Classification And Automatic Context Switching ", International Workshop on Independent Component Analysis (ICA’99), pp. 209-214, Aussie, Jan.1999.
P11.	Published	T-W. Lee, M.S. Lewicki and T.J. Sejnowski. "ICA mixture models for image processing", 6th Joint Symposium on Neural Computation, Institute for Neural Computation, pages 79-86, Caltech, May 1999
P12.	Published	K. Kreutz-Delgado, B.D. Rao, K. Engan, T-W. Lee and T.J. Sejnowski. "Convex/Schur-Convex (CSC) Log-Priors and Sparse Coding", 6th Joint Symposium on Neural Computation, Institute for Neural Computation, pages 65-71, Caltech, May 1999.
P13.	Published	K. Kreutz-Delgado, B.D. Rao, K. Engan, T-W. Lee and T.J. Sejnowski. " Learning Overcomplete Dictionaries: Convex/Schur-Convex (SCS) Log-Priors, Factorial Codes, and Independent/Dependent Component Analysis (I/DCA)", 6th Joint Symposium on Neural Computation, Institute for Neural Computation, pages 72-78, Caltech, May 1999.
P14.	Published	H.-M. Park, H.-Y. Jung, T.-W. Lee and S.-Y. Lee "On Subband-Based Blind Source Separation for Noisy Speech Recognition", International Conference On Neural Information Processing, Vol. 1, 204-209, 1999.
P15.	Published, invited paper	T.-W. Lee "Nonlinear Approaches to Independent Component Analysis", Proceedings of the American Institute of Physics, Oct. 1999.
P16.	Published, invited paper