- Color Opponency Constitutes A Sparse Representation For the Chromatic
- Blind Signal Separation in Teleconferencing using the ICA Mixture Model
- ICA MIXTURE MODELS FOR UNSUPERVISED CLASSIFICATION AND AUTOMATIC CONTEXT SWITCHING
- IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 4, APRIL 1999 87 Blind Source Separation of More Sources Than
- COMBINING TIMEDELAYED DECORRELATION AND ICA: TOWARDS SOLVING THE COCKTAIL PARTY PROBLEM
- Nonlinear Approaches To Independent Component Analysis
- To appear in Advances in Neural Information Processing Systems 10. Extended ICA Removes Artifacts from
- Blind Source Separation of Real World Signals MaxPlanckSociety, GERMANY, and
- Proc. Natl. Acad. USA Vol. 803--810, February
- LETTER Communicated by Jean-Francois Cardoso Independent Component Analysis Using an Extended Infomax
- SPECTRAL CHARACTERISTICS OF THE DOUBLE LOOP \Sigma\Delta MODULATOR Mariam Motamed, Avideh Zakhor, Seth Sanders and TeWon Lee \Lambda
- BLIND SOURCE SEPARATION OF NONLINEAR MIXING MODELS
- Advances in Neural Information Processing Systems, 1999, In press. Unsupervised Classification with
- SPEECH FEATURE EXTRACTION USING INDEPENDENT COMPONENT ANALYSIS JongHwan Lee 1 , HoYoung Jung 2 , TeWon Lee 3 , SooYoung Lee 1
- THE GENERALIZED GAUSSIAN MIXTURE MODEL USING ICA Institute for Neural Computation,
- Independent Component Analysis using an Extended Infomax Algorithm for Mixed SubGaussian and
- Dr. Te-Won Lee 1/11 Curriculum Vitae
- A CONTEXTUAL BLIND SEPARATION OF DELAYED AND CONVOLVED TeWon Lee Reinhold Orglmeister
- To appear in Neural Neitworks for Signal Processing, VIII. Removing Electroencephalographic Artifacts
- Independent Component Analysis for Mixed SubGaussian and SuperGaussian Sources
- ICA Mixture Models for Unsupervised Classification of Non-Gaussian
- Improving the Performance of Infomax Using Statistical Signal Processing Techniques
- Proc. Natl. Acad. Sci. USA Vol. 95, pp. 803810, February 1998
- IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 4, APRIL 1999 87 Blind Source Separation of More Sources Than
- Subband-Based Blind Signal Separation for Noisy Speech Recognition
- The Spectral Independent Components Of Natural Scenes TeWon Lee 1;2 , Thomas Wachtler 1 ; \Lambda and Terrence J. Sejnowski 1;2;3
- Convex/SchurConvex (CSC) LogPriors and Sparse Coding
