[Comp-neuro] NIPS*2007 - Final Call for Papers [Deadline: June 8, 2007 11:59PM UST]

Sumit Basu nips2007publicity at msn.com
Thu May 24 03:38:38 CEST 2007


                FINAL CALL FOR PAPERS, NIPS*2007 
    (HTML version: http://nips07.stanford.edu/nips07-cfp.html)
           Conference Site:  http://nips07.stanford.edu 


Deadline for Paper Submissions: Friday, June 8, 2007, 23:59 Universal
Standard Time (4:59pm Pacific Daylight Time).

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).

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.

Evaluation Criteria: Submissions will be refereed on the basis of
technical quality, novelty, potential impact on the field, and
clarity.  A full discussion of the evaluation criteria can be found
here (http://nips07.stanford.edu/NIPS-evaluation.html).  We
particularly encourage submissions by authors new to NIPS.  This year,
we particularly encourage papers that balance new algorithmic
contributions with a more applied focus.  These include: papers that
contain a substantial evaluation on real-world problems, or papers
that combine results on novel applications with analysis of their
relevance from a machine learning perspective.

Submission Instructions: NIPS accepts only electronic submissions at:
http://nips2007.confmaster.net.  As in the last year, NIPS submissions
will be reviewed double-blind: the reviewers will not know the
identities of the authors.  Full instructions can be found in the
general information for authors
(http://nips07.stanford.edu/nips07authors.html), including a link to
the style files (http://nips07.stanford.edu/instructions.html).  These
submissions must be in PDF format. The Conference web site will accept
electronic submissions until midnight June 8, 2007, Universal Standard
Time (5pm Pacific Daylight Time).  There will be an opportunity after
the meeting to revise accepted manuscripts.

Demonstrations: There is a separate Demonstration track at
NIPS. Authors wishing to submit to the Demonstration track should
consult the Call for Demonstrations
(http://nips.cc/Conferences/2007/Calls/CallForDemos).

Workshops: The workshops will be held at Whistler/Blackcomb ski resort
from December 7-8. Please read the call for workshop proposals in HTML
(http://nips07.stanford.edu/workshopCall.htm) or PDF
(http://nips07.stanford.edu/workshopCall.pdf) format for details.

Program Committee:

    Francis Bach (Ecole des Mines de Paris)
    Michael Black (Brown University) 
    Nicolò 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, 23:59 Universal Standard
Time (4:59pm Pacific Daylight Time).



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