SUN NOV 29 ---------- 18:00-22:00 Registration MON NOV 30 ---------- 08:30-18:00 Registration 09:30-17:30 Tutorials 18:30 Reception and Conference Banquet 20:30 The laws of the WEB (Banquet talk) B. Huberman Xerox PARC TUE DEC 1 --------- Oral Session 1: 08:30 Statistics of visual images: neural representation and synthesis (Invited) E. Simoncelli New York University 09:20 Attentional modulation of human pattern discrimination psychophysics reproduced by a quantitative model (VS1, Oral) L. Itti, J. Braun, D. Lee, C. Koch California Institute of Technology 09:40 Orientation, scale, and discontinuity as emergent properties of illusory contour shape (VS2, Oral) K. Thornber, L. Williams NEC Research Institute, University of New Mexico 10:00 DTs: dynamic trees (AA1, Spotlight) C. Williams, N. Adams Aston University Modeling stationary and integrated time series with autoregressive neural networks (LT1, Spotlight) F. Leisch, A. Trapletti, K. Hornik Technical University of Vienna Analog neural nets with Gaussian or other common noise distributions cannot recognize arbitrary regular languages (LT2, Spotlight) W. Maass, E. Sontag Technical University of Graz, Rutgers University Semiparametric support vector and linear programming machines (AA8, Spotlight) A. Smola, T. Friess, B. Schoelkopf GMD FIRST Blind separation of filtered source using state-space approach (AA13, Spotlight) L. Zhang, A. Cichocki RIKEN Brain Science Institute 10:15-11:00 Break Oral Session 2: 11:00 The bias-variance tradeoff and the randomized GACV (AA4, Oral) G. Wahba, X. Lin, F. Gao, D. Xiang, R. Klein, B. Klein University of Wisconsin-Madison, SAS Institute 11:20 Kernel PCA and de-noising in feature spaces (AA7, Oral) S. Mika, B. Schoelkopf, A. Smola, K. Mueller, M Scholz, G. Raetsch GMD FIRST 11:40 Sparse code shrinkage: denoising by maximum likelihood estimation (AA12, Oral) A. Hyvaarinen, P. Hoyer, E. Oja Helsinki University of Technology 12:00-14:00 Lunch Oral Session 3: 14:00 Temporally asymmetric Hebbian learning, spike timing and neuronal response variability (Invited) L. Abbott Brandeis University 14:50 Information maximization in single neurons (NS1, Oral) M. Stemmler, C. Koch California Institute of Technology 15:10 Multi-electrode spike sorting by clustering transfer functions (NS2, Oral) D. Rinberg, H. Davidowitz, N. Tishby NEC Research Institute 15:30 Distributional population codes and multiple motion models (NS3, Spotlight) R. Zemel, P. Dayan University of Arizona, Massachusetts Institute of Technology Population coding with correlated noise (NS4, Spotlight) H. Yoon, H. Sompolinsky Hebrew University Bayesian modeling of human concept learning (CS1, Spotlight) J. Tenenbaum Massachusetts Institute of Technology Mechanisms of generalization in perceptual learning (CS2, Spotlight) Z. Liu, D. Weinshall NEC Research Institute, Hebrew University An entropic estimator for structure discovery (SP1, Spotlight) M. Brand Mitsubishi Electric Research Laboratory 15:45-16:15 Break Oral Session 4: 16:15 The role of lateral cortical competition in ocular dominance development (NS6, Oral) C. Piepenbrock, K. Obermayer Technical University of Berlin 16:35 Evidence for learning of a forward dynamic model in human adaptive control (CS3, Oral) N. Bhushan, R. Shadmehr Johns Hopkins University 16:55-18:00 Poster Preview 19:30 Poster Session WED DEC 2 --------- Oral Session 5: 08:30 Computation by Cortical Modules (Invited) H. Sompolinsky Hebrew University 09:20 Learning curves for Gaussian processes (LT14, Oral) P. Sollich University of Edinburgh 9:40 Mean field methods for classification with Gaussian processes (LT15, Oral) M. Opper O. Winther Aston University, Niels Bohr Institute 10:00 Dynamics of supervised learning with restricted training sets (LT16, Spotlight) A. Coolen, D. Saad King's College London, Aston University Finite-dimensional approximation of Gaussian processes (LT18, Spotlight) G. Trecate, C. Williams, M. Opper University of Pavia, Aston University Inference in multilayer networks via large deviation bounds (LT20, Spotlight) M. Kearns, L. Saul AT&T Labs Gradient descent for general reinforcement learning (CN14, Spotlight) L. Baird, A. Moore Carnegie Mellon University Risk sensitive reinforcement learning (CN15, Spotlight) R. Neuneier, O. Mihatsch Siemens AG 10:15-11:00 Break Oral Session 6: 11:00 VLSI implementation of motion centroid localization for autonomous navigation (IM6, Oral) R. Etienne-Cummings, M. Ghani, V. Gruev Southern Illinois University 11:20 Improved switching among temporally abstract actions (CN16, Oral) R. Sutton, S. Singh, D. Precup, B. Ravindran University of Massachusetts, University of Colorado 11:40 Finite-sample convergence rates for Q-learning and indirect algorithms (CN17, Oral) M. Kearns, S. Singh AT&T Labs, University of Colorado 12:00-14:00 Lunch Oral Session 7: 14:00 Statistical natural language processing: better living through floating-point numbers (Invited) E. Charniak Brown University 14:50 Markov processes on curves for automatic speech recognition (SP3, Oral) L. Saul, M. Rahim AT&T Labs 15:10 Approximate learning of dynamic models (AA22, Oral) X. Boyen, D. Koller Stanford University 15:30 Learning nonlinear stochastic dynamics using the generalized EM algorithm (AA23, Spotlight) Z. Ghahramani, S. Roweis University of Toronto, California Institute of Technology Reinforcement learning for trading systems (AP9, Spotlight) J. Moody, M. Saffell Oregon Graduate Institute Bayesian modeling of facial similarity (AP13, Spotlight) B. Moghaddam, T. Jebara, A. Pentland Mitsubishi Electric Research Laboratory, Massachusetts Institute of Technology Computation of smooth optical flow in a feedback connected analog network (IM8, Spotlight) A. Stocker, R. Douglas University and ETH Zurich Classification on pairwise proximity data (AA26, spotlight) T. Graepel, R. Herbrich, P. Bollmann-Sdorra, K. Obermayer Technical University of Berlin 15:45-16:15 Break Oral Session 8: 16:15 Learning from dyadic data (AA27, Oral) T. Hofmann, J. Puzicha, M. Jordan Massachusetts Institute of Technology, University of Bonn 16:35 Classification in non-metric spaces (VS7, Oral) D. Weinshall, D. Jacobs, Y. Gdalyahu NEC Research Institute, Hebrew University 16:55-18:00 Poster Preview 19:30 Poster Session THU DEC 3 --------- Oral Session 9: 08:30 Convergence of the wake-sleep algorithm (LT22, Oral) S. Ikeda, S. Amari, H. Nakahara RIKEN Brain Science Institute 08:50 Learning a continuous hidden variable model for binary data (AA32, Oral) D. Lee, H. Sompolinsky Bell Laboratories, Hebrew University 09:10 Direct optimization of margins improves generalization in combined classifiers (LT23, Oral) L. Mason, P. Bartlett, J. Baxter Australian National University 09:30 A polygonal line algorithm for constructing principal curves (AA39, Oral) B. Kegl, A. Krzyzak, T. Linder, K. Zeger Concordia University, Queen's University, UC San Diego 09:50-10:30 Break Oral Session 10: 10:30 Graphical models for recognizing human interactions (AP15, Oral) N. Oliver, B. Rosario, A. Pentland Massachusetts Institute of Technology 10:50 Fast neural network emulation of physics-based models for computer animation (AP16, Oral) R. Grzeszczuk, D. Terzopoulos, G. Hinton Intel Corporation, University of Toronto 11:10 Things that think (Invited) N. Gershenfeld Massachusetts Institute of Technology 12:00 End of main conference POSTERS: TUE DEC 1 ------------------ Basis selection for wavelet regression (AA2, Poster) K. Wheeler NASA Ames Research Center Boxlets: a fast convolution algorithm for signal processing and neural networks (AA3, Poster) P. Simard, L. Bottou, P. Haffner, Y. LeCun AT&T Labs Least absolute shrinkage is equivalent to quadratic penalization (AA5, Poster) Y. Grandvalet, S. Canu Universite de Technologie de Compiegne Neural networks for density estimation (AA6, Poster) M. Magdon-Ismail, A. Atiya California Institute of Technology Semi-supervised support vector machines (AA9, Poster) K. Bennett, A. Demiriz Rensselaer Polytechnic Institute Exploiting generative models in discriminative classifiers (AA10, Poster) T. Jaakkola, D. Haussler UC Santa Cruz Using analytic QP and sparseness to speed training of support vector machines (AA11, Poster) J. Platt Microsoft Research Source separation as a by-product of regularization (AA14, Poster) S. Hochreiter, J. Schmidhuber Technical University of Munich, IDSIA Unsupervised classification with non-Gaussian mixture models using ICA (AA15, Poster) T-W. Lee, M. Lewicki, T. Sejnowski The Salk Institute Hierarchical ICA belief networks (AA16, Poster) H. Attias UC San Francisco Efficient Bayesian parameter estimation in large discrete domains (AA17, Poster) N. Friedman, Y. Singer UC Berkeley, AT&T Labs Discovering hidden features with Gaussian processes regression (AA18, Poster) F. Vivarelli, C. Williams Aston University Bayesian PCA (AA19, Poster) C. Bishop Microsoft Research Replicator equations, maximal cliques, and graph isomorphism (AA20, Poster) M. Pelillo University of Venice Convergence rates of algorithms for perceptual organization: detecting visual contours (AA21, Poster) A. Yuille, J. Coughlan Smith-Kettlewell Eye Research Institute Independent component analysis of intracellular calcium spike data (AP1, Poster) K. Prank, J.Boerger, A. von zur Muehlen, G. Brabant, C. Schoefl Medical School Hannover Applications of multi-resolution neural networks to mammography (AP2, Poster) P. Sajda, C. Spence Sarnoff Corporation Making templates rotationally invariant: an application to rotated digit recognition (AP3, Poster) S. Baluja Carnegie Mellon University Graph matching for shape retrieval (AP4, Poster) B. Huet, A. Cross, E. Hancock University of York Vertex identification in high energy physics experiments (AP5, Poster) G. Dror, H. Abramowicz, D. Horn The Academic College of Tel-Aviv-Yaffo, Tel-Aviv University Familiarity discrimination of radar pulses (AP6, Poster) E. Granger, S. Grossberg, M. Rubin, W. Streilein Ecole Polytechnique de Montreal, Boston University Robot docking using mixtures of Gaussians (AP7, Poster) M. Williamson, R. Murray-Smith, V. Hansen Massachusetts Institute of Technology, Technical University of Denmark, Daimler-Benz Call-based fraud detection in mobile communication networks using a hierarchical regime-switching model (AP8, Poster) J. Hollmen, V. Tresp Helsinki University of Technology, Siemens AG Multiple paired forward-inverse models for human motor learning and control (CS4, Poster) M. Haruno, D. Wolpert, M. Kawato ATR Human Information Processing Research Laboratories, University College London A neuromorphic monaural sound localizer (IM1, Poster) J. Harris, C-J. Pu, J. Principe University of Florida Active noise canceling using analog neuro-chip with on-chip learning capability (IM2, Poster) J-W. Cho, S-Y. Lee Korea Advanced Institute of Science and Technology Optimizing correlation algorithms for hardware-based transient classification (IM3, Poster) R. Edwards, G. Cauwenberghs, F. Pineda Johns Hopkins University A high performance k-NN classifier using a binary correlation matrix memory (IM4, Poster) P. Zhou, J. Austin, J. Kennedy University of York A micropower CMOS adaptive amplitude and shift invariant vector quantizer (IM5, Poster) R. Coggins, R. Wang, M. Jabri University of Sidney Where does the population vector of motor cortical cells point during reaching movements? (NS5, Poster) P. Baraduc, E. Guigon, Y. Burnod Universite Pierre et Marie Curie Heeger's normalization, line attractor network and ideal observers (NS7, Poster) S. Deneve, A. Pouget, P. Latham Georgetown University Image statistics and cortical normalization models (NS8, Poster) E. Simoncelli, O. Schwartz New York University Learning instance-independent value functions to enhance local search (CN1, Poster) R. Moll, A. Barto, T. Perkins, R. Sutton University of Massachusetts Exploring unknown environments with real-time heuristic search (CN2, Poster) S. Koenig Georgia Institute of Technology GLS: a hybrid classifier system based on POMDP research (CN3, Poster) A. Hayashi, N. Suematsu Hiroshima City University Non-linear PI control inspired by biological control systems (CN4, Poster) L. Brown, G. Gonye, J. Schwaber E.I. DuPont deNemours Coordinate transformation learning of hand position feedback controller by using change of position error norm (CN5, Poster) E. Oyama, S. Tachi University of Tokyo Optimizing admission control while ensuring quality of service in multimedia networks via reinforcement learning (CN6, Poster) T. Brown, H. Tong, S. Singh University of Colorado Barycentric interpolators for continuous space & time reinforcement learning (CN7, Poster) R. Munos, A. Moore Carnegie Mellon University Modifying the parti-game algorithm for increased robustness, higher efficiency and better policies (CN8, Poster) M. Al-Ansari, R. Williams Northeastern University Coding time-varying signals using sparse, shift-invariant representations (SP2, Poster) M. Lewicki, T. Sejnowski The Salk Institute Phase diagram and storage capacity of sequence storing neural networks (LT3, Poster) A. Duering, A. Coolen, D. Sherrington Oxford University, King's College London Discontinuous recall transitions induced by competition between short- and long-range interactions in recurrent networks (LT4, Poster) N. Skantzos, C. Beckmann, A. Coolen King's College London Computational differences between asymmetrical and symmetrical networks (LT5, Poster) Z. Li, P. Dayan Massachusetts Institute of Technology Shrinking the tube: a new support vector regression algorithm (LT6, Poster) B. Schoelkopf, P. Bartlett, A. Smola, R. Williamson GMD FIRST, Australian National University Dynamically adapting kernels in support vector machines (LT7, Poster) N. Cristianini, C. Campbell, J. Shawe-Taylor University of Bristol, University of London A theory of mean field approximation (LT8, Poster) T. Tanaka Tokyo Metropolitan University The belief in TAP (LT9, Poster) Y. Kabashima, D. Saad Tokyo Institute of Technology, Aston University Unsupervised clustering: the mutual information between parameters and observations (LT10, Poster) D. Herschkowitz, J-P. Nadal Ecole Normale Superieure Classification with linear threshold functions and the linear loss (LT11, Poster) C. Gentile, M. Warmuth University of Milan, UC Santa Cruz Almost linear VC dimension bounds for piecewise polynomial networks (LT12, Poster) P. Bartlett, V. Maiorov, R. Meir Australian National University, Technion Tight bounds for the VC-dimension of piecewise polynomial networks (LT13, Poster) A. Sakurai Japan Advanced Institute of Science and Technology Learning Lie transformation groups for invariant visual perception (VS3, Poster) R. Rao, D. Rudermann The Salk Institute Support vector machines applied to face recognition (VS4, Poster) J. Phillips National Institute of Standards and Technology Learning to find pictures of people (VS5, Poster) S. Ioffe, D. Forsyth UC Berkeley Probabilistic sensor fusion (VS6, Poster) R. Sharma, T. Leen, M. Pavel Oregon Graduate Institute POSTERS: WED DEC 2 ------------------ Learning multi-class dynamics (AA24, Poster) A. Blake, B. North, M. Isard Oxford University Fisher scoring and a mixture of modes approach for approximate inference and learning in nonlinear state space models (AA25, Poster) T. Briegel, V. Tresp Siemens AG A randomized algorithm for pairwise clustering (AA28, Poster) Y. Gdalyahu, D. Weinshall, M. Werman Hebrew University Visualizing group structure (AA29, Poster) M. Held, J. Puzicha, J. Buhmann University of Bonn Probabilistic visualization of high-dimensional binary data (AA30, Poster) M. Tipping Microsoft Research Restructuring sparse high dimensional data for effective retrieval (AA31, Poster) C. Isbell, P. Viola Massachusetts Institute of Technology Exploratory data analysis using radial basis function latent variable models (AA33, Poster) A. Marrs, A. Webb DERA SMEM algorithm for mixture models (AA34, Poster) N. Ueda, R. Nakano, Z. Ghahramani, G. Hinton NTT Communication Science Laboratories, University of Toronto Learning mixture hierarchies (AA35, Poster) N. Vasconcelos, A. Lippman Massachusetts Institute of Technology On-line and batch parameter estimation of Gaussian mixtures based on the relative entropy (AA36, Poster) Y. Singer, M. Warmuth AT&T Labs, UC Santa Cruz Very fast EM-based mixture model clustering using multiresolution kd-trees (AA37, Poster) A. Moore Carnegie Mellon University Maximum conditional likelihood via bound maximization and the CEM algorithm (AA38, Poster) T. Jebara, A. Pentland Massachusetts Institute of Technology Lazy learning meets the recursive least squares algorithm (AA40, Poster) M. Birattari, G. Bontempi, H. Bersini Universite Libre de Bruxelles Global optimization of neural network models via sequential sampling (AA41, Poster) J. de Freitas, M. Niranjan, A. Doucet, A. Gee Cambridge University Regularizing AdaBoost (AA42, Poster) G. Raetsch, T. Onoda, K. Mueller GMD FIRST Using collective intelligence to route Internet traffic (AP10, Poster) D. Wolpert, K. Tumer, J. Frank NASA Ames Research Center Scheduling straight-line code using reinforcement learning and rollouts (AP11, Poster) A. McGovern, E. Moss University of Massachusetts Probabilistic modeling for face orientation discrimination: learning from labeled and unlabeled data (AP12, Poster) S. Baluja Carnegie Mellon University Adding constrained discontinuities to Gaussian process models of wind fields (AP14, Poster) D. Cornford, I. Nabney, C. Williams Aston University A principle for unsupervised hierarchical decomposition of visual scenes (CS5, Poster) M. Mozer University of Colorado Facial memory is kernel density estimation (almost) (CS6, Poster) M. Dailey, G. Cottrell, T. Busey UC San Diego, Indiana University Perceiving without learning: from spirals to inside/outside relations (CS7, Poster) K. Chen, D. Wang Ohio State University Utilizing time: asynchronous binding (CS8, Poster) B. Love Northwestern University A model for associative multiplication (CS9, Poster) G. Christianson, S. Becker McMaster University Analog VLSI cellular implementation of the boundary contour system (IM7, Poster) G. Cauwenberghs, J. Waskiewicz Johns Hopkins University An integrated vision sensor for the computation of optical flow singular points (IM9, Poster) C. Higgins, C. Koch California Institute of Technology Spike-based compared to rate-based Hebbian learning (NS9, Poster) R. Kempter, W. Gerstner, L. van Hemmen Technical University of Munich, Swiss Federal Institute of Technology Neuronal regulation implements efficient synaptic pruning (NS10, Poster) G. Chechik, I. Meilijson, E. Ruppin Tel-Aviv University Signal detection in noisy weakly-active dendrites (NS11, Poster) A. Manwani, C. Koch California Institute of Technology Influence of changing the synaptic transmitter release probability on contrast adaptation of simple cells in the primary visual cortex (NS12, Poster) P. Adorjan, K. Obermayer Technical University of Berlin Complex cells as cortically amplified simple cells (NS13, Poster) F. Chance, S. Nelson, L. Abbott Brandeis University Synergy and redundancy among brain cells of behaving monkeys (NS14, Poster) I. Gat, N. Tishby Hebrew University, NEC Research Institute Visualizing and analyzing single-trial event-related potentials (NS15, Poster) T-P. Jung, S. Makeig, M. Westerfield, J. Townsend, E. Courchesne, T. Sejnowski The Salk Institute, Naval Health Research Center, UC San Diego A reinforcement learning algorithm in partially observable environments using short-term memory (CN9, Poster) N. Suematsu, A. Hayashi Hiroshima City University Experiments with a memoryless algorithm which learns locally optimal stochastic policies for partially observable Markov decision processes (CN10, Poster) J. Williams, S. Singh University of Colorado The effect of eligibility traces on finding optimal memoryless policies in partially observable Markovian decision processes (CN11, Poster) J. Loch University of Colorado Learning macro-actions in reinforcement learning (CN12, Poster) J. Randlov Niels Bohr Institute Reinforcement learning based on on-line EM algorithm (CN13, Poster) M. Sato, S. Ishii ATR Human Information Processing Research Laboratories, Nara Institute of Science and Technology Controlling the complexity of HMM systems by regularization (SP4, Poster) C. Neukirchen, G. Rigoll Gerhard-Mercator-University Maximum-likelihood continuity mapping (MALCOM): an alternative to HMMs (SP5, Poster) D. Nix, J. Hogden Los Alamos National Laboratory On-line learning with restricted training sets: exact solution as benchmark for general theories (LT17, Poster) H. Rae, P. Sollich, A. Coolen King's College London, University of Edinburgh General bounds on Bayes errors for regression with Gaussian processes (LT19, Poster) M. Opper, F. Vivarelli Aston University Variational approximations of graphical models using undirected graphs (LT21, Poster) D. Barber, W. Wiegerinck University of Nijmegen Optimizing classifiers for imbalanced training sets (LT24, Poster) G. Karakoulas, J. Shawe-Taylor Canadian Imperial Bank of Commerce, University of London On the optimality of incremental neural network algorithms (LT25, Poster) R. Meir, V. Maiorov Technion General-purpose localization of textured image regions (VS8, Poster) R. Rosenholtz Xerox PARC A V1 model of pop out and asymmetry in visual search (VS9, Poster) Z. Li Massachusetts Institute of Technology Minutemax: a fast approximation for minimax learning (VS10, Poster) J. Coughlan, A. Yuille Smith-Kettlewell Eye Research Institute Using statistical properties of a labelled visual world to estimate scenes (VS11, Poster) W. Freeman, E. Pasztor Mitsubishi Electric Research Laboratory Example based image synthesis of articulated figures (VS12, Poster) T. Darrell Interval Research
Please send comments and corrections to: