Demonstrations
Tuesday, December 9 and December 10, 2003 -- 7:30 pm to Midnight
The Demonstrations component of the Conference enables researchers to highlight scientific advances, systems, and technologies in ways that go beyond conventional poster presentations. It provides a unique forum for demonstrating advanced technologies — both hardware and software — and fostering the direct exchange of knowledge.
Demonstrations will take place on the Plaza Level (Second Floor) in Georgia Room A or in the Plaza Foyer (as noted)
Tuesday -- December 9, 2003
A CPG-driven Autonomous Robot(Plaza Foyer)
Jorg Conradt and Rodney Douglas, Institute of Neuroinformatics, ETH/University, Zurich; Paulina Varshavskaya, CSAIL, Massachusetts Institute of Technology, Cambridge, Massachusetts; Kerstin Preuschoff, CNS, California Institute of Technology, Pasadena, California
Bayesian Imitation Learning in a Robotic Head (Plaza Foyer)
C.L. Baker, D.B. Grimes, R.P.N. Rao, A.P. Shon, University of Washington, Seattle
Biologically Inspired Enhanced Vision System (EVS) for Aircraft Landing Guidance
Luk Chiu Hung, Dan Hammerstrom, Changjian Gao, and Misha Pavel, Oregon Graduate Institute School of Science and Engineering; Dick Kerr, Max-Viz Inc., Portland, Oregon
Demonstration of a Continuously-Adaptive Floating-Gate Network Utilizing Least-Mean-Square Learning
Venkatesh Srinivasan, Jeff Dugger, and Paul Hasler, Cooperative Analog-Digital Signal Processing Laboratory, School of ECR, Georgia Institute of Technology
Determining 3D Face Structure from Video Images Using G-Flow
Tim K. Marks, J. Cooper Roddey, John Hershey, Javier R. Movellan, Institute for Neural Computation, University of California, San Diego
Dynamics and Probabilistic Text Entry
John Williamson, University of Glasgow; Roderick Murray-Smith, Hamilton Institute, University of Glasgow
Intel's Optimized Open Probabilistic Network Library
Victor Eruhimov, Intel Corporation, Nizhniy Novgorod, Russia; Kevin Murphy, Massachusetts Institute of Technology; Gary Bradski, Intel Corporation, Santa Clara, California; Yimin Zhang, Wei Hu, Qian Diao, Intel Corporation, Beijing, China.
Online Topic Ranking for Text Documents
Koby Crammer and Yoram Singer, Hebrew University
Fast Pose Estimation with Parameter Sensitive Hashing
Gregory Shakhnarovich and Trevor Darrell, Massachusettes Institute of Technology, Cambridge; Paul Viola, Microsoft Research, Redmond, Washington
From Visual Attention through to Motor Control
Mike Arnold, The Salk Institute for Biological Studies, The Salk Institute for Biological Studies; Eduardo Ros, University of Granada, Granada, Spain; Olivier Coenen, Sony Computer Science Laboratory, Paris; Fred Hamker, Westf. Wilhelms-Universität Münster, Germany; Chris Assad, Jet Propulsion Laboratory, California Institute of Technology, Pasadena; Marwan Jabri, Oregon Graduate Institute, Beaverton, Oregon; Terrence Sejnowski, The Salk Institute for Biological Studies
Wednesday -- Dececember 10, 2003
A Low-power aVLSI Visual Collision Detector
Reid R. Harrison Department of Electrical and Computer Engineering, University of Utah, Salt Lake City
A Modular Tracking Software Suite Featuring Efficient Hypothesis Management
W.D. Addison, M. Briers, S.R. Maskell, R. Wright, QinetiQ Ltd, Malvern, United Kingdom
A Recurrent Model of Orientation Maps with Simple and Complex Cells
Paul Merolla and Kwabena Boahen, University of Pennsylvania
Application of SVMs for Color Classification
and Collision Detection
Michael J. Quinlan, Stephan K. Chalup and
Richard H. Middleton, University of Newcastle, Callaghan, Australia
Artificial Moth (Insect-based Neuronal Models of Course Stabilization and Obstacle Avoidance Applied to A Flying Robot) (Plaza Foyer)
Sergi Bermudez Badia, Pawel Pyk, Jorg Conradt. amd Paul F.M.J. Verschure, Institute of Neuroinformatics, ETH/Univ. Zurich
Silicon Support Vector Machine
Rafal
Karakiewicz, Ashkan Olyaei, Roman Genov, University of Toronto; Shantanu
Chakrabartty, Gert Cauwenberghs, Johns Hopkins University
Sparse Gaussian Process Software Package
Lehel Csato, Department Scholkopf, Max Planck Institute of Biological Cybernetics, Tuebingen, Germany
Reinforcement Learning Control of A Simple Bipedal Dynamic Walking Robot
Russ Tedrake, Ming-Fai Fong and Teresa Weirui Zhang, Massachusets Institute of Technology, Cambridge; H. Sebastian Seung, MIT and Howard Hughes Medical Institute
VisCor4D: A Multi-chip Neuromorphic System Modelling Visual Cortical Neurons Sensitive to Position, Orientation, Spatial Frequency and Disparity
Thomas Choi, Eric Tsang, Bertram Shi, HKUST, Hong Kong; Kwabena Boahen, University of Pennsylvania