[robocup-small] [Fwd: Call for Papers NIPS-06 (Neural Information Processing Systems) (fwd)]

[David Ball]

---------- Forwarded message ----------

Date: Sat, 20 May 2006 15:03:37 -0700 (PDT)
From: Dieter Fox <fox at cs.washington.edu>
To: robocup-small at cc.gatech.edu
Subject: Call for Papers NIPS-06 (Neural Information Processing Systems)

Dear colleagues,

I would like to encourage you to submit robotics papers related to
machine learning, probabilistic reasoning, and control to NIPS
2006. NIPS is a high-quality, single track conference focusing on all
aspects of neural and statistical processing and computation.

Please take a look at
http://research.microsoft.com/conferences/nips06/NIPS-evaluation.html
for more information on what is expected from a good NIPS paper.

Very best
Dieter


====================================================================
Neural Information Processing Systems (NIPS)

CALL FOR PAPERS NIPS-2006
====================================================================


Deadline for Paper Submissions:  June 9, 2006


Submissions are solicited for the Twentieth Annual meeting of an
interdisciplinary Conference (December 5-7) 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 4), and following it will be two
days of Workshops at Whistler/Blackcomb ski resort (December 8-9).

Submissions: 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, 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: New as of 2006, 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.

Paper Format: The paper format is fully described at
http://research.microsoft.com/conferences/nips06/. Please use the
latest style file for your submission.

Submission Instructions: NIPS accepts only electronic submissions at
http://papers.nips.cc. These submissions must be in postscript or PDF
format. The Conference web site will accept electronic submissions
from May 26, 2006 until midnight, June 9, 2006, 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.

Organizing Committee:
      General Chair --- Bernhard Schölkopf (MPI for Biological Cybernetics)
      Program Chair --- John Platt (Microsoft Research)
      Tutorials Chair --- Daphne Koller (Stanford)
      Workshop Chairs --- Charles Isbell (Georgia Tech)
                          Rajesh Rao (University of Washington)
      Demonstrations Chairs --- Alan Stocker (New York University)
                                Giacomo Indiveri (UNI ETH Zurich)
      Publications Chair --- Thomas Hofmann (TU Darmstadt)
      Volunteers Chair --- Fernando Perez Cruz (Gatsby Unit, London)
      Publicity Chair --- Matthias Franz (Max Plack Institute, Tübingen)
      Online Proceedings Chair --- Andrew McCallum (Univ. Massachusetts, 
Amherst)

Program Committee:
      Chair --- John Platt (Microsoft Research)
      Bob Williamson (National ICT Australia)
      Cordelia Schmid (INRIA)
      Corinna Cortes (Google)
      Dan Ellis (Columbia University)
      Dan Hammerstrom (Portland State University)
      Dan Pelleg (IBM)
      Dennis DeCoste (Yahoo Research)
      Dieter Fox (University of Washington)
      Hubert Preissl (University of Tuebingen)
      John Langford (Toyota Technical Institute)
      Kamal Nigam (Google)
      Kevin Murphy (University of British Columbia)
      Koji Tsuda (MPI for Biological Cybernetics)
      Maneesh Sahani (University College London)
      Neil Lawrence (University of Sheffield)
      Samy Bengio (IDIAP)
      Satinder Singh (University of Michigan)
      Shimon Edelman (Cornell University)
      Thomas Griffiths (UC Berkeley)

Deadline for Paper Submissions: June 9, 2006


-- 

===============================================================
Dieter Fox                                Tel.: (206) 685-2517
Dept. of Computer Science & Engineering   Fax:  (206) 543-2969
email:  fox at cs.washington.edu
office: Allen Center 586  http://www.cs.washington.edu/homes/fox