ICA 2001 Deadline

[Terry Sejnowski]

Special hotel rate available until Nov 29, 2001.

                          ICA2001
                     http://ica2001.org

             Third International Conference on
              Independent Component Analysis
                  and Signal Separation

                  San Diego, California
                   December 9-13, 2001

Program and Registration:  http://ica2001.ucsd.edu/

Independent Component Analysis (ICA) is an emerging area of 
signal processing and data analysis based on the blind 
source separation of unknown mixtures of unknown source signals. 

Research advances on ICA have been made in machine learning, 
neural networks, statistical signal processing and Bayesian modeling. 

Numerous applications of ICA have been found in adaptive speech 
filtering, speech signal coding, biomedical signal processing,
image compression, text modeling and financial data analysis.

Chair        Terrence Sejnowski terry at inc.ucsd.edu
Program      Te-Won Lee         tewon at inc.ucsd.edu
Publicity    Scott Makeig       scott at inc.ucsd.edu
Treasurer    John Staight       jstaight at ucsd.edu
Publication  Tzyy-Ping Jung     jung at inc.ucsd.edu
Comm.        Javier Movellan    javier at inc.ucsd.edu

International Advisory Committee:

C. Jutten, INPG, France
E. Oja, Helsinki University of Technology, Finland
A. Bell, The Salk Institute, USA
S. I. Amari, RIKEN, Japan

Invited Speakers:

Michael Arbib (USC)
Robert Hecht-Nielsen (HNC & UCSD)  
Geoffry Hinton (Toronto)
Michael Jordan (UC Berkeley)
Christof Koch (Caltech)
Gilles Laurent (Caltech)
V.S.  Ramachandran (UCSD)
Mohan Trivedi (UCSD)

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