__________________________________________________________________
CALL FOR PAPERS
Neural Information Processing Systems
Natural and Synthetic
Monday, December 9 -- Saturday December 14, 2002
Vancouver, British Columbia, Canada
http://nips.cc
_________________________________________________________________
Submissions are solicited for the sixteenth meeting of an
interdisciplinary conference, which brings together cognitive
scientists, computer scientists, engineers, neuroscientists,
physicists, statisticians, and mathematicians interested in all
aspects of neural and statistical processing and computation.
The conference will include invited talks as well as oral and
poster presentations of refereed papers. It is single track and
highly selective. Preceding the main conference will be one day
of tutorial presentations (Dec.9), and following it there will be
two days of focused workshops on topical issues at
Whistler/Blackcomb ski resort (Dec.13-14).
NIPS*2002 INVITED SPEAKERS:
Hugh Durrant-Whyte, University of Sydney: Information flow in
sensor networks;
Paul Glimcher, New York University: Decisions, Uncertainty and
the Brain: Neuroeconomics;
Deborah Gordon, Stanford University: Ants at Work;
David Heeger, Stanford University: Neural Correlates of Perception
and Attention
Andrew W. Moore, Carnegie Mellon University: Statistical Data Mining;
Pietro Perona, Caltech: Learning visual categories;
NIPS*2002 TUTORIAL SPEAKERS:
Martin Cooke: Computational auditory scene analysis in listeners
and machines;
Richard M. Karp: Mathematical, Statistical and Algorithmic
Challenges from Genomics and Molecular Biology;
Michael Kearns: Computational game theory;
Andrew McCallum: Information extraction from the world wide web;
Sebastian Seung: Neural integrators;
Yair Weiss, Jianbo Shi & Serge Belongie: Eigenvector methods for
clustering and image segmentation
SUBMISSIONS:
The NIPS*2002 categories for paper submission are listed
below. The subcategories are by no means exhaustive.
Algorithms and Architectures: statistical learning algorithms,
neural network architectures, kernel methods, graphical models,
Gaussian processes, independent component analysis, model
selection, active learning, combinatorial optimization.
Applications: innovative applications or fielded systems that use
machine learning, including time series, biological applications,
text/web analysis, multimedia, robotics, or other intelligent
systems.
Cognitive Science/Artificial Intelligence: theoretical,
computational, or experimental studies of perception,
psychophysics, human or animal learning, memory, reasoning,
problem solving, language, and neuropsychology.
Emerging Technologies: analog and digital VLSI, neuromorphic
engineering, computational sensors and actuators, microrobotics,
bioMEMS, neural prostheses, photonics, molecular and quantum
computing.
Neuroscience: theoretical and experimental studies of encoding,
decoding, processing, and transmission of information in
biological neurons, including spike train generation, synaptic
modulation, plasticity and adaptation, and network properties.
Reinforcement Learning and Control: Markov decision processes,
exploration, planning, navigation, game-playing, multi-agent
coordination, computational models of classical and operant
conditioning.
Speech and Signal Processing: recognition, coding, synthesis,
de-noising, source separation, auditory perception,
psychoacoustics, temporal algorithms for signal processing such
as Markov models, dynamical systems, recurrent networks.
Theory: learning theory, information theory, statistical physics
of learning, Bayesian methods, approximation bounds, online
learning and dynamics, generalization and regularization.
Visual Processing: image processing and coding, segmentation,
object detection and recognition, motion detection and tracking,
visual psychophysics, visual scene analysis and interpretation.
Demonstrations: Authors wishing to submit to the newly created
demonstration track should consult the Web site below for more
detailed instructions.
REVIEW CRITERIA: All submitted papers will be thoroughly refereed
on the basis of technical quality, significance, and clarity.
Authors new to NIPS are particularly encouraged to submit their
work. There will be an opportunity after the meeting to revise
accepted manuscripts before submitting a final camera-ready copy
for the proceedings.
PAPER FORMAT: Submitted papers may be up to eight pages in
length, including figures and references, using a font no smaller
than 10 point. Text is to be confined within a 8.25in by 5in
rectangle. Submissions failing to follow these guidelines will
not be considered. Authors are strongly encouraged to use the
NIPS LaTeX style files obtainable from the web site listed below.
SUBMISSION INSTRUCTIONS: NIPS accepts only electronic
submissions. Full submission instructions will be available at
the web site given below. NIPS accepts submissions in postscript
and PDF format. The electronic submission process will begin on
June 9, 2002.
SUBMISSION DEADLINE:
SUBMISSIONS MUST BE LOGGED BY MIDNIGHT JULY 1, 2002, PACIFIC
DAYLIGHT TIME.
The LaTeX style files, the electronic submission page, and other
conference information are available on the web at
NIPS*2002 ORGANIZING COMMITTEE:
General Chair, Sue Becker, McMaster University;
Program Chair, Sebastian Thrun, Carnegie Mellon University;
Publications Chair, Klaus Obermayer, TU Berlin;
Tutorial Chair, Lawrence Saul, University of Pennsylvania;
Workshops Co-chairs, Barak Pearlmutter, University of New Mexico,
Robert Jacobs, University of Rochester;
Demonstrations Co-chairs, Shihab Shamma, University of Maryland,
Shih-Chii Liu, University and ETH Zurich;
Publicity Chair, Zoubin Ghahramani, University College London;
Volunteer Coordinator, Rajesh Rao, University of Washington;
Treasurer, Bartlett Mel, University of Southern California;
Web Masters, Alex Gray, Carnegie Mellon University,
Guy Lebanon, Carnegie Mellon University;
Contracts, Steve Hanson, Rutgers University.
NIPS*2002 PROGRAM COMMITTEE:
Sebastian Thrun, Carnegie Mellon University (chair);
Peter Bartlett, BIOwulf Technologies and University of California, Berkeley;
Gert Cauwenberghs, Johns Hopkins University;
Geoffrey Gordon, Carnegie Mellon University;
Daniel Lee, University of Pennsylvania;
Marina Meila, University of Washington;
Klaus-Robert Mueller, Fraunhofer FIRST ;
Andrew Y. Ng, University of California, Berkeley;
John Platt, Microsoft Research;
Sam Roweis, University of Toronto;
Eero Simoncelli, New York University;
Joshua Tenenbaum, MIT;
Chris Williams, University of Edinburgh;
Richard Zemel, University of Toronto.
PAPERS MUST BE SUBMITTED BY JULY 1, 2002
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