Sunday, Nov. 30 18:00-22:00 Registration Monday, Dec. 1 08:30-18:30 Registration 09:30-17:30 Tutorials 18:30-22:00 Reception and Conference Banquet Psychological Studies of Visual Perception Ken Nakayama Tuesday, Dec. 2 and 08:30-12:00 Sessions Wednesday, Dec. 3 14:00-16:00 Sessions 16:00-18:00 Poster Sessions, Demos 19:30-22:30 Poster Sessions, Refreshments Thursday, Dec. 4 08:30-12:00 Sessions 19:30-21:00 Registration, Reception at Breckenridge Friday, Dec. 5 07:30-10:30 Workshop Sessions 16:00-19:00 Workshop Sessions 19:30-21:30 Workshop Banquet Saturday, Dec. 6 07:30-10:30 Workshop Sessions 16:00-19:00 Workshop Sessions 19:30-20:30 Workshop Wrap-up Meeting
MONDAY, DECEMBER 1 RECEPTION AND BANQUET: 18:30 Psychological Studies of Visual Perception Ken Nakayama, Harvard University (Banquet Speaker) TUESDAY, DECEMBER 2 ORAL SESSION 1 8:30 - 9:20: Invited Speaker DNA^2 DNA Computation: A Potential Killer Application? Richard Lipton, Princeton University and Bellcore Research 9:20 - 9:40: Oral Presentation Incorporating Contextual Information in White Blood Cell Identification Xubo Song and Joseph Sill, California Institute of Technology Harvey Kasdan, International Remote Imaging Systems 9:40 - 10:00: Oral Presentation Extended ICA Removes Artifacts from Electroencephalographic Recordings Tzyy-Ping Jung, Colin Humphries, and Te-Won Lee, Salk Institute Scott Makeig, Naval Health Research Center Martin J. McKeown, Salk Institute Vicente Iragui, UC San Diego Terrence J. Sejnowski, Salk Institute 10:00 - 10:15: Poster Spotlights (5) A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction Volker Tresp and Thomas Briegel, Siemens Reinforcement Learning for Call Admission Control in Routing in Integrated Service Networks Peter Marbach, Massachusetts Institute of Technology Oliver Mihatsch, Siemens Miriam Schulte, Technische Universitat Munchen John N. Tsitsiklis, Massachusetts Institute of Technology Intrusion Detection with Neural Networks Jake Ryan, Risto Miikkulainen, and Meng-Jang Lin, University of Texas at Austin Structure Driven Image Database Retrieval Jeremy S. De Bonet and Paul Viola, Massachusetts Institute of Technology Analog VLSI Model of Intersegmental Coordination with Nearest-neighbor Coupling Girish N. Patel, Jeremy H. Holleman and Stephen P. DeWeerth, Georgia Institute of Technology BREAK: 10:15 - 10:45 ORAL SESSION 2 10:45 - 11:05: Oral Presentation A Framework for Multiple-Instance Learning Oded Maron and Tomas Lozano-Perez, Massachusetts Institute of Technology 11:05 - 11:25: Oral Presentation Hierarchical Non-linear Factor Analysis and Topographic Maps Zoubin Ghahramani and Geoffrey E. Hinton, University of Toronto 11:25 - 11:45: Oral Presentation Learning Continuous Attractors in Recurrent Networks H. S. Seung, Bell Labs Lucent Technologies 11:40 - 12:00: Poster Spotlights (7) Classification by Pairwise Coupling Trevor Hastie, Stanford University Robert Tibshirani, University of Toronoto Agnostic Clustering of Markovian Sequences Ran El-Yaniv, Shai Fine and Naftali Tishby, Hebrew University EM Algorithms for PCA and SPCA Sam Roweis, California Institute of Technology Training Methods for Adaptive Boosting of Neural Networks for Character Recognition Holger Schwenk and Yoshua Bengio, Universite de Montreal Learning to Order Things William W. Cohen, Robert E. Schapire and Yoram Singer, AT&T Labs On Efficient Heuristic Ranking of Hypotheses Steve Chien, Andre Stechert and Darren Mutz, Jet Propulsion Laboratory Estimating Dependency Structure as a Hidden Variable Marina Meila and Michael I. Jordan, Massachusetts Institute of Technology LUNCH: 12:00 - 14:00 ORAL SESSION 3 14:00 - 14:50: Invited Speaker Learning in Rational Agents Stuart Russell, UC Berkeley 14:50 - 15:10: Oral Presentation Visual Navigation in a Robot Using Zig-zag Behavior M. Anthony Lewis, University of Illinois 15:10 - 15:30: Oral Presentation Nonparametric Model-based Reinforcement Learning Christopher G. Atkeson, Georgia Institute of Technology 15:30 - 15:50: Oral Presentation Reinforcement Learning with Hierarchies of Machines Ron Parr and Stuart Russell, UC Berkeley 15:50 - 16:05: Poster Spotlights (5) On the Infeasibility of Training Neural Networks with Small Squared Error Van H. Vu, Yale University Data Dependent Structural Risk Minimization for Perceptron Decision Trees John Shawe-Taylor and Nello Cristianini, University of London Generalization in Decision Trees and DNF: Does Size Matter? Mostefa Golea and Peter L. Bartlett, Australian National University Wee Sun Lee, Australian Defence Force Academy The Asymptotic Convergence Rate of Q-learning Cs. Szpesvari, Jozsef Attila University An Improved Policy Iteration Algorithm for Partially Observable MDPs Eric A. Hansen, University of Massachusetts POSTER PREVIEW: 16:15 POSTER SESSION 1: 19:30 (Note: contributed papers presented during Tuesday's oral sessions will also have posters Tuesday evening.) Gradients for Retinotectal Mapping Geoffrey J. Goodhill, Georgetown University Incremental Learning with Sample Queries Joel Ratsaby, Nu Age Products Analytical Study of the Interplay Between Architecture and Predictability Avner Priel, Ido Kanter and D.A. Kessler, Bar Ilan University A 1,000-Neuron System with One Million 7-bit Physical Interconnections Yuzo Hirai, University of Tsukuba Finite Sample Bounds for Non-linear Time Series Prediction Ron Meir, Technion Graph Matching with Hierarchical Discrete Relaxation Richard C. Wilson and Edwin R. Hancock, University of York Recovering Perspective Pose with a Dual Step EM Algorithm A.D.J. Cross and E.R. Hancock, University of York Bidirectional Retrieval from Associative Memory Friedrich T. Sommer and G. Palm, University of Ulm Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis Bill Baird, UC Berkeley Ensemble and Modular Approaches for Face Detection: A Comparison Raphael Feraud and Olivier Bernier, France Telecom Hybrid Reinforcement Learning and its Application to Biped Robot Control Satoshi Yamada, Akira Watanabe and Michio Nakashima, Mitsubishi S-Map: A Network with a Simple Self-organization Algorithm for Generative Topographic Mapping Kimmo Kiviluoto and Erkki Oja, Helsinki University of Technology New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit Aapo Hyvarinen, Helsinki University of Technology Combining Classifiers Using Correspondence Analysis Christopher J. Merz, UC Irvine A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick Lucy E. Hadden, UC San Diego MELONET I: Neural Nets for Inventing Baroque-style Chorale Variations Dominik Hornel, Universitat Fridericiana Karlsruhe (TH) Automatic Aircraft Recovery via Reinforcement Learning: Initial Experiments Jeffrey F. Monaco and David G. Ward, Barron Associates, Inc. Andrew G. Barto, University of Massachusetts Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis Marcus Held and Joachim M. Buhmann, Rheinische Friedrich-Wilhelms-Universitat An Annealed Self-organizing Map for Source Channel Coding Matthias Burger, Thore Graepel and Klaus Obermayer, Technical University of Berlin Bach in a Box - Real-time Harmony Randall R. Spangler, Rodney M. Goodman, and Jim Hawkins, California Institute of Technology Function Approximation with the Sweeping Hinge Algorithm Don R. Hush and Fernando Lozano, University of New Mexico Bill Horne, MakeWaves, Inc. Incorporating Test Inputs into Learning Zehra Cataltepe and Malik Magdon-Ismail, California Institute of Technology Just One View: Invariances in Inferotemporal Cell Tuning Maximilian Riesenhuber and Tomaso Poggio, Massachusetts Institute of Technology Weight Space Structure and the Storage Capacity of a Fully-connected Committee Machine Yuansheng Xiong, Pohang Institute of Science and Technology Chulan Kwon, Myong Ji University Jong-Hoon Oh, Bell Labs Lucent Technologies Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting Paul Rodriguez, UC San Diego Janet Wiles, University of Queensland Multi-modular Associative Memory Nir Levy, David Horn and Eytan Ruppin, Tel-Aviv University On Parallel Versus Serial Processing: A Computational Study of Visual Search Eyal Cohen and Eytan Ruppin, Tel-Aviv University Self-similarity Properties of Natural Images Antonio Turiel, German Mato, and Nestor Parga, Universidad Autonoma de Madrid Jean-Pierre Nadal, Ecole Normale Superieure Experiences with Bayesian Learning in a Real World Application Peter Sykacek and Georg Dorffner, Austrian Research Institute for Artificial Intelligence Peter Rapplesberger, University of Vienna Josef Zeitlhofer, AKH Vienna An Analog VLSI Neural Network for Phase-based Computer Vision Bertram E. Shi and Kwok Fai Hui, Hong Kong University of Science and Technology An Application of Reversible-jump MCMC to Multivariate Spherical Gaussian Mixtures Alan D. Marrs, Defence Evaluation & Research Agency Regularisation in Sequential Learning Algorithms Joao FG de Freitas, Mahesan Niranjan and Andrew H. Gee, Cambridge University A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt and Gideon F. Inbar, Israel Institute of Technology Selecting Weighting Factors in Logarithmic Opinion Pools Tom Heskes, University of Nijmegen Shared Context Probabilistic Transducers Yoshua Bengio, Universite de Montreal Samy Bengio, CIRANO Jean-Francois Isabelle, NOVASYS Yoram Singer, AT&T Labs Perturbative M-sequences for Auditory Systems Identification Mark Kvale and Christoph E. Schreiner, UC San Francisco Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus Ernst R. Dow and Thomas J. Anastasio, University of Illinois The Observer-observation Dilemma in Neuro-forecasting Hans Georg Zimmermann and Ralph Neuneier, Siemens Enhancing Q-learning for Optimal Asset Allocation Ralph Neuneier, Siemens An Analog VLSI Model of the Fly Elementary Motion Detector Reid R. Harrison and Christof Koch, California Institute of Technology Synaptic Transmission: An Information-theoretic Perspective Amit Manwani and Christof Koch, California Institute of Technology Phase Transitions and Perceptual Organization of Video Sequences Yair Weiss, Massachusetts Institute of Technology Adaptive Choice of Grid and Time in Reinforcement Learning Stephan Pareigis, Christian-Albrechts-Universitat Kiel The Rectified Gaussian Distribution N.D. Socci, D.D. Lee and H.S. Seung, Bell Labs Lucent Technologies Two Approaches to Optimal Annealing Todd K. Leen, Oregon Graduate Institute Bernhard Schottky and David Saad, Aston University On the Separation of Signals from Neighboring Cells in Tetrode Recordings Maneesh Sahani, John S. Pezaris and Richard A. Andersen, California Institute of Technology Detection of First and Second Order Motion Alexander Grunewald, California Institute of Technology Heiko Neumann, Universitat Ulm Silicon Retina with Adaptive Filtering Properties Shih-Chii Liu, California Institute of Technology WEDNESDAY, DECEMBER 3 ORAL SESSION 4 8:30 - 9:20: Invited Talk Relative Loss Bounds, the Minimum Relative Entropy Principle and EM Manfred Warmuth, UC Santa Cruz 9:20 - 9:40: Oral Presentation Saddle Point and Hamiltonian Structure in Excitatory-inhibitory Networks H.S. Seung and T.J. Richardson, Bell Labs Lucent Technologies J.C. Lagarias, AT&T Labs J.J. Hopfield, Princeton University 9:40 - 10:00: Oral Presentation From Regularization Operators to Support Vector Kernels Alexander J. Smola, GMD Bernhard Scholkopf, Max Planck Institute 10:00 - 10:15: Poster Spotlights (5) Globally Optimal On-line Learning Rules Magnus Rattray and David Saad, Aston University Asymptotics for Regularization Petri Koistinen, University of Helsinki Prior Knowledge in Support Vector Kernels Bernhard Scholkopf, Max Planck Institute Patrice Simard and Valdimir Vapnik, AT&T Labs Alexander J. Smola, GMD Optimization of the Drift for Nonequilibrium Diffusion Networks Paul Mineiro, Javier Movellan, and R.J. Williams, UC San Diego A Revolution: Belief Propagation in Graphs With Cycles Brendan Frey, University of Toronto David J. C. MacKay, Cambridge University BREAK: 10:15 - 10:45 ORAL SESSION 5 10:45 - 11:05: Oral Presentation Using Expectation to Guide Processing: A Study of Three Real-world Applications Shumeet Baluja, Carnegie Mellon University 11:05 - 11:25: Oral Presentation Bayesian Robustification for Audio Visual Fusion in Non-stationary Environments Javier Movellan and Paul Mineiro, UC San Diego 11:25 - 11:45: Oral Presentation Spectrotemporal Receptive Fields for Neurons in the Primary Auditory Cortex of the Awake Primate R.C. deCharms and M.M. Merzenich, UC San Francisco 11:45 - 12:10: Poster Spotlights (8) Active Data Clustering Thomas Hofmann, Massachusetts Institute of Technology Joachim M. Buhmann, Universitat Bonn Learning Nonlinear Overcomplete Representations for Efficient Coding Michael S. Lewicki and Terrence J. Sejnowski, Salk Institute A Non-parametric Multi-scale Statistical Model for Natural Images Jeremy S. De Bonet and Paul Viola, Massachusetts Institute of Technology Modeling Acoustic Correlations by Factor Analysis Lawrence Saul and Mazin Rahim, AT&T Labs Blind Separation of Radio Signals in Fading Channels Kari Torkkola, Motorola Features as Sufficient Statistics D. Geiger, A. Rudra and L. Maloney, New York University Bayesian Model of Surface Perception William T. Freeman, Mitsubishi Electric Research Lab Paul Viola, Massachusetts Institute of Technology (Poster Spotlight) 2D Observers for Human 3D Object Recognition? Zili Liu, NEC Research Institute Daniel Kersten, University of Minnesota LUNCH: 12:10 - 14:00 ORAL SESSION 6 14:00 - 14:50: Invited Speaker Computing with Action Potentials John Hopfield, Princeton University 14:50 - 15:10 Oral Presentation Coding of Naturalistic Stimuli by Auditory Midbrain Neurons H. Attias and C.E. Schreiner, UC San Francisco 15:10 - 15:30: Oral Presentation Refractoriness and Neural Precision Michael J. Berry II and Markus Meister, Harvard University 15:30 - 15:50: Oral Presentation A Mathematical Model of Axon Guidance by Diffusible Factors Geoffrey J. Goodhill, Georgetown University 15:50 - 14:05: Poster Spotlights (4) Neural Basis of Object-centered Representations Sophie Deneve and Alexandre Pouget, Georgetown University A Model of Early Visual Processing Laurent Itti, Jochen Braun, Dale K. Lee and Christof Koch, California Institute of Technology Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex Erik D. Lumer, Universite Libre de Bruxelles Statistical Models of Conditioning Peter Dayan and Theresa Long, Massachusetts Institute of Technology POSTER PREVIEW: 16:15 POSTER SESSION 2: 19:30 (Note: contributed papers presented during Wednesday's oral sessions will also have posters Wednesday evening.) Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure Jeanne C. Milostan and Garrison W. Cottrell, UC San Diego The Error Coding Method and PaCT's Gareth James and Trevor Hastie, Stanford University Linear Concepts and Hidden Variables: an Empirical Study Adam J. Grove, NEC Research Institute, Dan Roth, Weizmann Institute of Science A Hippocampal Model of Recognition Memory Randall C. O'Reilly, Massachusetts Institute of Technology Kenneth A. Norman, Harvard University James L. McClelland, Carnegie Mellon University The Efficiency and the Robustness of Natural Gradient Descent Learning Rule Howard Hua Yang and Shun-ichi Amari, RIKEN Derive Serial Updating Rule for Blind Separation from the Method of Scoring Howard Hua Yang, RIKEN Unconscious Inference and the Up-propagation Algorithm Jong-Hoon Oh and H. Sebastian Seung, Bell Labs Lucent Technologies Nonlinear Markov Networks for Continuous Variables Reimar Hofmann and Volker Tresp, Siemens Modelling Seasonality and Trends in Daily Rainfall Data Peter M. Williams, University of Sussex Task and Spatial Frequency Effects on Face Specialization Matthew N. Dailey and Garrison W. Cottrell, UC San Diego A Simple and Fast Neural Network Approach to Stereovision Rolf D. Henkel, University of Bremen Wavelet Models for Video Time Series Sheng Ma and Chuanyi Ji, Rensselaer Polytechnic Institute Multiple Threshold Neural Logic Vasken Bohossian and Jehoshua Bruck, California Institute of Technology Reinforcement Learning for Continuous Stochastic Control Problems Remi Munos, CEMAGREF Paul Bourgine, Ecole Polytechnique Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings Ricardo Vigario, Veikko Jousmaki, Matti Hamalainen, Riitta Hari and Erkki Oja, Helsinki University of Technology Hybrid NN/HMM-based Speech Recognition with a Discriminant Neural Feature Extraction Daniel Willett and Gerhard Rigoll, Gerhard Mercator University Use of a Multi-layer Perceptron to Predict Malignancy in Ovarian Tumors Herman Verrelst, Yves Moreau, and Joos Vandewalle, Katholieke Universiteit Leuven Dirk Timmerman, University Hospitals Leuven Correlates of Attention in a Model of Dynamic Visual Recognition Rajesh P.N. Rao, University of Rochester Approximating Posterior Distributions in Belief Networks Using Mixtures Christopher M. Bishop and Neil Lawrence, Aston University Tommi Jaakkola and Michael I. Jordan, Massachusetts Institute of Technology Regression with Input-dependent Noise: a Gaussian Process Treatment Paul W. Goldberg, Christopher K.I. Williams and Christopher M. Bishop, Aston University Online Learning from Finite Training Sets in Non-linear Networks Peter Sollich, University of Edinburgh David Barber, Aston University Radial Basis Functions: a Bayesian Treatment David Barber and Bernhard Schottky, Aston University Computing with Stochastic Dynamic Synapses Wolfgang Maass, Technische Universitaet Graz Anthony M. Zador, Salk Institute Learning to Schedule Straight-line Code J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup and Darko Stefanovic, University of Massachusetts Carla Brodley and David Scheeff, Purdue University, Multi-time Models for Temporally Abstract Planning Doina Precup and Richard S. Sutton, University of Massachusetts Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework Michael S. Lewicki, Salk Institute Bruno A. Olshausen, UC Davis Mapping a Manifold Joshua B. Tenenbaum, Massachusetts Institute of Technology Monotonic Networks Joseph Sill, California Institute of Technology The Canonical Distortion Measure in Feature Space and 1-NN Classification Jonathan Baxter and Peter Bartlett, Australian National University Relative Loss Bounds for Multidimensional Regression Problems Jyrki Kivinen, University of Helsinki Manfred K. Warmuth, UC Santa Cruz A General Purpose Image Processing Chip: Orientation Detection Ralph Etienne-Cummings and Donghui Cai, Southern Illinois University Receptive Field Formation in Natural Scene Environments: Comparison of Kurtosis, Skewness, and the Quadratic form of BCM Brian Blais, N. Intrator, H. Shouval and Leon N. Cooper, Brown University How to Dynamically Merge Markov Decision Processes Satinder Singh, University of Colorado David Cohn, Harlequin, Inc. Comparison of Human and Machine Word Recognition M. Schenkel, C. Latimer and M. Jabri, University of Sydney Analysis of Drifting Dynamics with Neural Network Hidden Markov Models J. Kohlmorgen, K.-R. Muller, GMD K. Pawelzik, MPI f. Stromungsforschung, A Neural Network Based Head Tracking System D.D. Lee and H.S. Seung, Bell Labs Lucent Technologies Multiresolution Tangent Distance for Affine-invariant Classification Nuno Vasconcelos and Andrew Lippman, Massachusetts Institute of Technology Modeling a Complex Cell in an Awake Macaque During Natural Image Viewing William E. Vinje and Jack L. Gallant, UC Berkeley Local Dimensionality Reduction Stefan Schaal, Georgia Institute of Technology Sethu Vijayakumar, Tokyo Institute of Technology Christopher C. Atkeson, Georgia Institute of Technology Using Helmholtz Machines to Analyze Multi-channel Neuronal Recordings Virginia R. de Sa, R. Christopher deCharms and Michael M. Merzenich, UC San Francisco RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions Mark Ring, GMD Competitive On-line Linear Regression V. Vovk, University of London Generalized Prioritized Sweeping David Andre, Nir Friedman and Ronald Parr, UC Berkeley Toward a Single-cell Account of Binocular Disparity Tuning: An Energy Model May be Hiding in Your Dendrites Bartlet W. Mel, University of Southern California Daniel L. Ruderman, The Salk Institute Kevin A. Archie, University of Southern California, Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J. Foster and Richard G.M. Morris, Edinburgh University Peter Dayan, Massachusetts Institute of Technology Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction H.J. Kappen, University of Nijmegen F.B. Rodriguez, University of Madrid THURSDAY, DECEMBER 4 ORAL SESSION 7 8:30 - 9:20: Invited Speaker Odor Coding by the Olfactory System: Distributed Processing in Biological and Artificial Systems John S. Kauer, Tufts University 9:20 - 9:40: Oral Presentation Adaptation in Speech Motor Control John F. Houde, UC San Francisco Michael I. Jordan, Massachusetts Institute of Technology 9:40 - 10:00: Oral Presentation A Superadditive-impairment Theory of Optic Aphasia Michael C. Mozer and Mark Sitton, University of Colorado Martha Farah, University of Pennsylvania 10:00 - 10:20: Oral Presentation Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report Thomas K. Landauer and Darrell Laham, University of Colorado at Boulder Peter Foltz, New Mexico State University BREAK: 10:20 - 10:45 ORAL SESSION 8 10:45 - 11:05: Oral Presentation Local Independent Component Analysis Juan K. Lin, University of Chicago 11:05 - 11:25: Oral Presentation Stacked Density Estimation Padhraic Smyth, UC Irvine David Wolpert, IBM Almaden Research 11:25 - 11:45: Oral Presentation Ensemble Learning for Multi-layer Networks David Barber and Christopher M. Bishop, Aston University END OF CONFERENCE --- ADJOURN TO WORKSHOPS
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