NIPS Workshop: Overcomplete Representations and Nonlinear ICA
Overcomplete Representations and Nonlinear ICA
Organizers: Te-Won Lee, Kenneth Kreutz-Delgato and Michael S. Lewicki
When: Saturday, December 4, 1999, 7:30AM to 11:00AM and 4:30PM to 7:00PM
Where: Breckenridge, Colorado
Recently, there has been a great interest in statistical models for
learning overcomplete representations. A popular method for learning
data representations is Independent Component Analysis (ICA). Although
most ICA research was focused on complete representations, we believe
that statistical models with overcomplete representations will lead to
new powerful techniques for signal- and image processing. There is
also a link between overcomplete representations and efficient sensory
coding in the brain which shows the vitality of the emerging new
perspectives. An example is Hubel and Wiesel's finding of oriented
receptive fields in cat visual cortex which has been substantiated by
coding natural scenes (Olshausen, Bell, and Lewicki) using
complete/overcomplete representations. The methods derived by
considering statistical and information theoretic principles such can
be used for coding images and audio signals which are more efficient
than other traditional engineering methods.
The goal of this workshop is to bring together researchers who are
interested in exchanging their ideas and exploring new theories for
overcomplete representations. We anticipate talks on advanced topics
in overcomplete representations, mixture models, nonlinear independent
component analysis, information theoretic coding, image understanding,
speech modeling, and pattern recognition using overcomplete
representations.
The one-day workshop will have 12 speakers giving 20 min talks with 5
min discussion. The last 20 min will be reserved to discuss the talks
and compile directions for future research.
List of Confirmed Speakers:
Eero P. Simoncelli (NY Univ)
Bruno Olshausen (UC Davis)
Tony Bell (Interval)
Mike Lewicki (CMU)
Jean-Pierre Nadal (Ecole Normale)
Shunichi Amari (RIKEN)
Joon-Hoon Oh (Postech)
Mark Girolami (Univ. of Paisley)
Ken Kreutz-Delgato & Baskhar Rao (UCSD)
Aapo Hyvaerinen, Erkki Oja (HUT)
Hagai Attias (UCL)
Sam Roweis (UCL)
Michael Zibulevsky & Barak Pearlmutter (UNM)
Naoki Saito (UC Davis)
Te-Won Lee (Salk & UCSD)
Allan Barros & Andrzej Cichocki (RIKEN)
Daniel Lee (Bell Labs)
Gert Cauwenberghs (Johns Hopkins)
For further information, contact:
Te-Won Lee
Institute for Neural Computation, UCSD &
The Salk Institute, CNL
10010 N. Torrey Pines Road
La Jolla, CA 92037
Phone: 619-453-4100 x1527
Fax: 619-587-0417
WWW: http://www.cnl.salk.edu/~tewon/
e-mail: tewon@salk.edu
Te-Won Lee
Last modified: Tue Nov 16 16:07:59 PST 1999