Invited Talks

• The Institute of New Media and Telecommunications
  Seoul National University, January 1997
  "Neural computational approach to blind signal processing"

• Brain Information Processing Group in RIKEN, JAPAN, April 1997
  "On multi-channel blind deconvolution"

• Brain Information Processing Group in RIKEN, JAPAN, May 1997
  "Cross-cumulants in ICA and source separation"

• Department of Electrical Engineering, Soongsil University, August 1997
  "Blind equalization/deconvolution"

• Department of Electrical Engineering, KAIST, August 1997
  "The role of temporal anti-Hebbian learning in blind deconvolution"

• Department of Physics, POSTECH, August 1997
  "The role of temporal anti-Hebbian learning in blind deconvolution"

• Department of Physics, Chungbuk National University, October 1997
  "Neural learning for ICA and source separation"

• Inter-university Semiconductor Research Center
  Seoul National University, February 1998
  "Adaptive blind signal processing: from blind source separation to blind equalization"

• Department of Electrical and Electronics Engineering
  Sophia University, Tokyo, JAPAN, July 17 1998
  "Flexible ICA and multichannel blind deconvolution"

• Department of Computer Science, Yonsei University, September 23 1998
  "The role of ICA in Brain Science"

• KIEE Computer and Artificial Intelligence Society Meeting, November 7 1998
  "Independent component analysis: A new tool for feature extraction and source separation"

• Center for Nonlinear Dynamics, Korea University, March 13 1999
  "Information-theoretic unsupervised learning and ICA"

• Brain Science Symposium in Chungbuk National University, June 23 1999
  "Learning higher-order structure of natural sound"

• Brain Science Research Center, KAIST, August 25 1999
  "What can we do with independent component analysis?"

• Tutorial in KISS Neurocomputing Society, November 5 1999
  "What can we do with independent component analysis?"

• Invited talk at Workshop on Vision and Intelligence
  KISS Computer Vision Society, June 3 2000
  "Probablistic learning and independent component analysis"

• Department of Electronics Engineering, Korea University, October 17 2000
  "Blind signal processing: source separation and independent component analysis"

• Department of Computer Science and Engineering, POSTECH, November 8 2000
  "Independent component analysis and source separation: Natural Riemannina gradient and statistical methods"

• Invited talk at ICONIP 2000, November 18 2000
  "Nonstationarity and temporal structure in blind source separation"

• Virtual Reality Group, ETRI, November 29 2000
  "Independent component analysis: from source separation to biomedical signal analysis"

• Department of Computer Science and Engineering, POSTECH, March 30 2001
  "Independent component analysis: Toward finding hidden variables"
  (click here to get the power point file)
  (supplementary file 1)
  (supplementary file 2)
  

• Tutorial in KISS CVPR Workshop 2001, November 3, 2001
  "Independent component analysis, Sparseness, Topography"
  (click here to get the power point file)
  

• School of Electronics and Electrical Engineering, Kyungpook National University, May 6, 2002
  "Independent component analysis: Toward finding hidden variables"

• Bioinformatics Research Team, ETRI, June 14, 2002
  "Generative models for gene expression data analysis"
  

• The 5th Brain Winter School and the 1st workshop on Presence, February 20, 2003
  "Brain signal pattern analysis: Machine learning approach"

• Kyushu Institute of Technology, Japan, January, 2004
  "Speech segregation in noisy environments"

• ETRI, February, 2004
  "Blind source separation"

• Korea Electronics Technology Institute, August 6, 2004
  "Independent component analysis: A computational vision perspective"

• Kyushu Institute of Technology, Japan, August 24, 2004
  "Relative trust-region learning for ICA"

• Division of Applied Mathematics, KAIST, September 24, 2004
  "Dimensionality reduction, embedding, and kernels"

• Hallym Medical School, November 12, 2004
  "EEG-based brain computer interface: A machine learning approach"