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May 2004


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John Platt <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Mon, 3 May 2004 17:20:42 -0700
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                         CALL FOR PAPERS --- NIPS 2004
        Neural Information Processing Systems --- Natural and Synthetic
              Monday, December 13 --- Saturday, December 18, 2004
                      Vancouver, British Columbia, Canada

                  Deadline for Paper Submissions: June 4, 2004

Submissions are solicited for the eighteenth annual meeting of an
interdisciplinary NIPS Conference (December 14-16) which brings together
researchers 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 and Demonstrations. It is single track
and highly selective. Preceding the main Conference will be one day of
Tutorials (December 13), and following it will be two days of Workshops at
Whistler/Blackcomb ski resort (December 17-18).

* John Donoghue, Brown University --- Mind over Movement: Developing
Neurotechnologies to Restore Lost Function;
* Gerd Gigerenzer, Max Planck Institute for Human Development --- Fast and
Frugal Heuristics: The Adaptive Toolbox;
* Nati Linial, Hebrew University of Jerusalem --- Expanders, Eigenvalues
and All That;
* Bernard Palsson, University of California, San Diego, Systems Biology ---
Bringing Genomes to Life;
* Shimon Ullman, Weizmann Institute of Science --- Classification, Recognition
and Segmentation Using Fragments Hierarchy

* William Bialek, Princeton University --- Optimization Principles in Neural
Coding and Computation;
* Shahar Mendelson, Australian National University --- A Geometric Approach to
Statistical Learning Theory;
* Radford Neal, University of Toronto --- Bayesian Methods in Machine Learning;
* David Parkes, Harvard University --- Computational Mechanism Design and
* Richard Szeliski, Microsoft Research --- Acquiring Detailed 3D Models from
Images and Video;
* Daniel Wolpert, University College London --- Probabilistic Computations in
Human Sensoriomotor Control

Papers are solicited in all areas of neural information processing, including
(but not limited to) the following:
* Algorithms and Architectures --- statistical learning algorithms, neural
networks, kernel methods, graphical models, Gaussian processes, independent
component analysis, model selection, combinatorial optimization.
* Applications --- innovative applications or fielded systems that use machine
learning, including systems for time series prediction, bioinformatics,
text/web analysis, multimedia processing, and robotics.
* Brain Imaging --- neuroimaging, cognitive neuroscience, EEG
(electroencephalogram), ERP (event related potentials), MEG
(magnetoencephalogram), fMRI (functional magnetic resonance imaging), brain
mapping, brain segmentation.
* Cognitive Science and Artificial Intelligence --- theoretical, computational,
or experimental studies of perception, psychophysics, human or animal learning,
memory, reasoning, problem solving, language, and neuropsychology.
* Control and Reinforcement Learning --- decision and control, exploration,
planning, navigation, Markov decision processes, game-playing, multi-agent
coordination, computational models of classical and operant conditioning.
* Emerging Technologies --- analog and digital VLSI, neuromorphic engineering,
computational sensors and actuators, microrobotics, bioMEMS, neural prostheses,
photonics, molecular and quantum computing.
* Learning Theory --- generalization and regularization, information theory,
statistical physics of learning, Bayesian methods, approximation bounds, online
learning and dynamics.
* Neuroscience --- theoretical and experimental studies of processing and
transmission of information in biological neurons and networks, including spike
train generation, synaptic modulation, plasticity and adaptation.
* Speech and Signal Processing --- recognition, coding, synthesis, denoising,
segmentation, source separation, auditory perception, psychoacoustics,
dynamical systems, recurrent networks, Markov models.
* Visual Processing --- biological and machine vision, 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 Demonstration track
should consult the Conference web site.

Submissions will be refereed on the basis of technical quality, novelty,
significance, and clarity. Authors new to NIPS are particularly encouraged to
submit. There will be an opportunity after the meeting to revise accepted

Submissions 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 8.25 inch by 5 inch rectangle. Submissions violating these guidelines
will not be considered.

NIPS accepts only electronic submissions in postscript and PDF format. The
Conference web site will accept electronic submissions from May 19, 2004 until
midnight, June 4, 2004, Pacific daylight time.

* General Chair, Lawrence Saul, University of Pennsylvania;
* Program Chair, Yair Weiss, Hebrew University of Jerusalem;
* Tutorials Chair, Richard Zemel, University of Toronto;
* Workshops Co-chairs, Satinder Singh Baveja, University of Michigan,
  Daniel Lee, University of Pennsylvania;
* Demonstrations Chairs, Tobi Delbruck, ETH/University of Zurich,
  Timothy Horiuchi, University of Maryland;
* Publications Chair, Leon Bottou, NEC Research Institute;
* Publicity Chair, John Platt, Microsoft Research;
* Online Proceedings Chair, Andrew McCallum, University of Massachusetts
* Volunteers Chair, Sam Roweis, University of Toronto.

Yair Weiss (Chair), Hebrew University of Jerusalem;
Yoshua Bengio, University of Montreal;
Jeff Bilmes, University of Washington;
Nello Cristianini, University of California Davis;
Trevor Darrell, Massachusetts Institute of Technology;
Geoff Gordon, Carnegie Mellon University;
Daphne Koller, Stanford University;
John Lafferty, Carnegie Mellon University;
Shih-Chii Liu, Swiss Federal Institute of Technology Zurich;
Ron Meir, Technion, Israeli Institute of Technology;
Maneesh Sahani, University College London;
Bernhard Schoelkopf, Max-Planck Institute for Biological Cybernetics;
Matthias Seeger, University of California, Berkeley;
Richard Shiffrin, Indiana University;
Eero Simoncelli, New York University;
Martin Wainwright, University of California Berkeley;
Daphna Weinshall, Hebrew University of Jerusalem.