NIPS*2007 - Preliminary Call for Papers

PRELIMINARY CALL FOR PAPERS -- NIPS*2007

Deadline for Paper Submissions: June 8, 2007
Conference Site: http://nips07.stanford.edu

Submissions are solicited for the Twenty First Annual meeting of an
interdisciplinary Conference (December 3-6) 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. It is
single track and highly selective. Preceding the main Conference will
be one day of Tutorials (December 3), and following it will be two
days of Workshops at Whistler/Blackcomb ski resort (December 7-8).

Invited Speakers: To be announced.

Tutorial Speakers: To be announced.

Submissions: Papers are solicited in all areas of neural information
processing and statistical learning, including (but not limited to)
the following:

· Algorithms and Architectures: statistical learning algorithms,
neural networks, kernel methods, graphical models, Gaussian
processes,
dimensionality reduction and manifold learning, 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, brain computer interfaces.

· Cognitive Science and Artificial Intelligence: theoretical,
computational, or experimental studies of perception,
psychophysics,
human or animal learning, memory, reasoning, problem solving,
natural
language processing, 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.

· Hardware Technologies: analog and digital VLSI, neuromorphic
engineering, computational sensors and actuators, microrobotics,
bioMEMS, neural prostheses, photonics, molecular and quantum
computing.

· Learning Theory: generalization, regularization and model
selection,
Bayesian learning, spaces of functions and kernels, statistical
physics of learning, online learning and competitive analysis,
hardness of learning and approximations, large deviations and
asymptotic analysis, information theory.

· 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, Language
Models, Dynamic and Temporal 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.


Review Criteria: As in the last year, NIPS submissions will be
reviewed double-blind: the reviewers will not know the identities of
the authors. Submissions will be refereed on the basis of technical
quality, novelty, potential impact on the field, and clarity. There
will be an opportunity after the meeting to revise accepted
manuscripts. We particularly encourage submissions by authors new to
NIPS, as well as application papers that combine concrete results on
novel or previously unachievable applications with analysis of the
underlying difficulty from a machine learning perspective. Submission
Instructions: NIPS accepts only electronic submissions at

http://nips2007.confmaster.net

These submissions must be in PDF format. The Conference web site will
accept electronic submissions until midnight June 8, 2007, Pacific
daylight time.

Demonstrations: There is a separate Demonstration track at NIPS.
Authors wishing to submit to the Demonstration track should consult
the Conference web site.


Program Committee:
Francis Bach (Ecole des Mines de Paris)
Michael Black (Brown University)
Nicolo Cesa-Bianchi (Università degli Studi di Milano)
Olivier Chapelle (Yahoo! Research)
Sanjoy Dasgupta (UC San Diego)
Virginia de Sa (UC San Diego)
David Fleet (University of Toronto)
Isabelle Guyon (ClopiNet)
Bert Kappen (University of Nijmegen)
Dan Klein (UC Berkeley)
Daphne Koller (Stanford) [Co-Chair]
Chih-Jen Lin (National Taiwan University)
Kevin Murphy (University of British Columbia)
William Noble (University of Washington)
Stefan Schaal (University of Southern California)
Dale Schuurmans (University of Alberta)
Odelia Schwartz (Salk Institute and Albert Einstein College of
Medicine)
Fei Sha (UC Berkeley)
Yoram Singer (Google and Hebrew University) [Co-Chair]
Mark Steyvers (UC Irvine)
Alan Stocker (New York University)
Yee Whye Teh (Gatsby Unit, UCL)
Nikos Vlassis (Technical University of Crete)
Ulrike von Luxburg (MPI for Biological Cybernetics)
Chris Williams (University of Edinburgh)
Andrew Zisserman (University of Oxford)

Deadline for Paper Submissions: June 8, 2007

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