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Conference Materials

Neural Information Processing Systems 1998 (NIPS 11)

	Influence of Changing the Synaptic Transmitter Release Probability on Contrast Adaptation of Simple Cells in the Primary Visual Cortex Peter Adorjan and Klaus Obermayer Hierarchical ICA Belief Networks Hagai Attias Probabilistic Modeling for Face Orientation Discrimination: Learning from Labeled and Unlabeled Data Shumeet Baluja Making Templates Rotationally Invariant: An Application to Rotated Digit Recognition Shumeet Baluja Where Does the Population Vector of Motor Cortical Cells Point during Reaching Movements? Pierre Baraduc, Emmanuel Guigon and Yves Burnod Tractable Variational Structures for Approximating Graphical Models David Barber and Wim Wiegerinck Semi-Supervised Support Vector Machines Kristin Bennett and Ayhan Demiriz Lazy Learning Meets the Recursive Least Squares Algorithm Mauro Birattari, Gianluca Bontempi and Hugues Bersini Bayesian PCA Christopher M. Bishop Learning multi-class dynamics Andrew Blake, Ben North and Michael Isard Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models Thomas Briegel and Volker Tresp Optimizing Admission Control while Ensuring Quality of Service in Multimedia Networks via Reinforcement Learning Timothy X. Brown, Hui Tong and Satinder Singh Non-linear PI Control Inspired by Biological Control Systems Lyndon J. Brown, Gregory E. Gonye and James S. Schwaber Analog VLSI Cellular Implementation of the Boundary Contour System Gert Cauwenberghs and James Waskiewicz Complex Cells as Cortically Amplified Simple Cells Frances S. Chance, Sacha B. Nelson and L. F. Abbott Neuronal Regulation Implements Efficient Synaptic Pruning Gal Chechik, Isaac Meilijson and Eytan Ruppin Perceiving Without Learning: from Spirals to Inside/Outside Relations Ke Chen and DeLiang L. Wang A Model for Associative Multiplication G. Bjorn Christianson and Suzanna Becker A Micropower CMOS Adaptive Amplitude and Shift Invariant Vector Quantiser Richard Coggins, Raymond Wang and Marwan Jabri Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields Dan Cornford, Ian T. Nabney and Christopher K. I. Williams A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximation James M. Coughlan and A.L. Yuille Facial Memory Is Kernel Density Estimation (Almost) Matthew N. Dailey, Garrison W. Cottrell and Thomas A. Busey Example Based Image Synthesis of Articulated Figures Trevor Darrell Global Optimisation of Neural Network Models Via Sequential Sampling Nando de Freitas, Mahesan Niranjan, Andrew Gee and Arnaud Doucet Heeger's Normalization, Line Attractor Networks and Ideal Observers Sophie Deneve, Alexandre Pouget and Peter Latham Vertex Identification in High Energy Physics Experiments Gideon Dror, Halina Abramowicz and David Horn Phase Diagram and Storage Capacity of Sequence Storing Neural Networks A. During, A.C.C. Coolen and D. Sherrington Optimizing Correlation Algorithms for Hardware-based Transient Classification R. Timothy Edwards, Gert Cauwenberghs and Fernando Pineda Using statistical properties of a labelled visual world to estimate scenes William T. Freeman and Egon C. Pasztor Efficient Bayesian Parameter Estimation in Large Discrete Domains Nir Friedman and Yoram Singer Synergy and Redundancy Among Brain Cells of Behaving Monkeys Itay Gat and Naftali Tishby A Randomized Algorithm for Pairwise Clustering Yoram Gdalyahu, Daphna Weinshall and Michael Werman Classification with Linear Threshold Functions and the Linear Loss Claudio Gentile and Manfred K. Warmuth Lasso is Equivalent to Adaptive Quadratic Penalization Yves Grandvalet and Stephane Canu Familiarity Discrimination of Radar Pulses Eric Granger, Stephen Grossberg, Mark A. Rubin and William W. Streilein A Neuromorphic Monaural Sound Localizer John G. Harris, Chiang-Jung Pu and Jose C. Principe Multiple Paired Forward-Inverse Models for Human Motor Learning and Control Masahiko Haruno, Daniel M. Wolpert and Mitsuo Kawato GLS: a Hybrid Classifier System Based on POMDP Research Akira Hayashi and Nobuo Suematsu Visualizing Group Structure Marcus Held, Jan Puzicha and Joachim M. Buhmann Unsupervised and Supervised Clustering: the Mutual Information Between Parameters and Observations Didier Herschkowitz and Jean-Pierre Nadal An Integrated Vision Sensor for the Computation of Optical Flow Singular Points Charles M. Higgins and Christof Koch Source Separation as a By-Product of Regularization Sepp Hochreiter and Juergen Schmidhuber Call-based Fraud Detection in Mobile Communication Networks using a Hierarchical Regime-Switching Model Jaakko Hollmen and Volker Tresp raph Matching for Shape Retrieval Benoit Huet, Andrew D.J. Cross and Edwin R. Hancock Learning to Find Pictures of People Sergey Ioffe and David Forsyth Restructuring Sparse High Dimensional Data for Effective Retrieval Charles Lee Isbell, Jr. and Paul Viola Exploiting generative models in discriminative classifiers Tommi Jaakkola and David Haussler Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm Tony Jebara and Alex Pentland Analyzing and Visualizing Single-Trial Event-Related Potentials Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne and Terrence J. Sejnowski The Belief in TAP Yoshiyuki Kabashima and David Saad Spike-Based Compared to Rate-Based Hebbian Learning Richard Kempter, J. Leo van Hemmen and Wulfram Gerstner Exploring Unknown Environments with Real-Time Heuristic Search or Reinforcement Learning Sven Koenig Active Noise Canceling Using Analog Neuro-Chip with On-Chip Learning Capability Soo-Young Lee and Jung Wook Cho Unsupervised Classification with Non-Gaussian Mixture Models using ICA Te-Won Lee, Michael S. Lewicki and Terrence J. Sejnowski Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations Michael S. Lewicki and Terrence J. Sejnowski A V1 Model of Pop Out and Asymmetry in Visual Search Zhaoping Li Computational Differences between Asymmetrical and Symmetrical Networks Zhaoping Li and Peter Dayan The Effect of Eligibility Traces on Finding Optimal Memoryless Policies in Partially Observable Markov Decision Processes John Loch Utilizing Time: Asynchronous Binding Bradley C. Love Signal Detection in Noisy Weakly-Active Dendrites Amit Manwani and Christof Koch Exploratory data analysis using radial basis function latent variable models Alan D. Marrs and Andrew R. Webb Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts Amy McGovern and Eliot Moss On the Optimality of Incremental Neural Network Algorithms Ron Meir and Vitaly E. Maiorov Learning Instance-Independent Value Functions to Enhance Local Search Robert Moll, Andrew G. Barto, Theodore Perkins and Richard S. Sutton Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees Andrew W. Moore A principle for unsupervised hierarchical decomposition of visual scenes Michael C. Mozer Barycentric Interpolators for Continuous Space and Time Reinforcement Learning Remi Munos and Andrew W. Moore Controlling the Complexity of HMM Systems by Regularization Christoph Neukirchen and Gerhard Rigoll Maximum-Likelihood Continuity Mapping (MALCOM): An Alternative to HMMs David A. Nix and John E. Hogden General Bounds on Bayes Errors for Regression with Gaussian Processes Manfred Opper and Francesco Vivarelli Coordinate Transformation Learning of Hand Position Feedback Controller by Using Change of Position Error Norm Eimei Oyama and Susumu Tachi Replicator Equations, Maximal Cliques, and Graph Isomorphism Marcello Pelillo Replicator Equations, Maximal Cliques, and Graph Isomorphism Marcello Pelillo Support Vector Machines Applied to Face Recognition P. Jonathon Phillips Using Analytic QP and Sparseness to Speed Training of Support Vector Machines John Platt Independent Component Analysis of Intracellular Calcium Spike Data Klaus Prank, Julia Borger, Alexander von zur Muhlen, Georg Brabant and Christof Schofl On-Line Learning with Restricted Training Sets: Exact Solution as Benchmark for General Theories H.C. Rae, P. Sollich and A.C.C. Coolen Learning Macro-Actions in Reinforcement Learning Jette Randlov Learning Lie Groups for Invariant Visual Perception Rajesh P. N. Rao and Daniel L. Ruderman Regularizing AdaBoost Gunnar Ratsch, Klaus-R. Mulle and Takashi Onoda General-Purpose Localization of Textured Image Regions Ruth Rosenholtz Tight Bounds for the VC-Dimension of Piecewise Polynomial Networks Akito Sakurai Reinforcement Learning Based on On-line EM Algorithm Masa-aki Sato and Shin Ishii Shrinking the Tube: A New Support Vector Regression Algorithm Ikoma-shi, Nara 630-0101, Japan Bernhard Scholkopf, Alex J. Smola, Peter L. Bartlett and Robert Williamson Probabilistic Image Sensor Fusion Ravi K. Sharma, Todd K. Leen and Misha Pavel Boxlets: a Fast Convolution Algorithm for Signal Processing and Neural Networks Patrice Y. Simard, Leon Bottou, Patrick Haffner and Yann Le Cun Modeling Non-Specific Suppression in V1 Neurons with a Statistically-Derived Normalization Model Eero Simoncelli and Odelia Schwartz On-line and batch parameter estimation of Gaussian mixtures based on the relative entropy Yoram Singer and Manfred K. Warmuth Discontinuous Recall Transitions Induced by Competition Between Short- and Long-Range Interactions in Recurrent Networks N.S. Skantzos, C.F. Beckmann and A.C.C. Coolen Applications of Multiresolution Neural Networks to Mammography Clay D. Spence and Paul Sajda A Reinforcement Learning Algorithm in Partially Observable Environments Using Short-Term Memory Nobuo Suematsu and Akira Hayashi A Theory of Mean Field Approximation Toshiyuki Tanaka Probabilistic Visualisation of High-dimensional Binary Data Michael E. Tipping SMEM Algorithm for Mixture Models Naonori Ueda, Zoubin Ghahramani, Ryohei Nakano and Geoffrey Hinton Learning Mixture Hierarchies Nuno Vasconcelos and Andrew Lippman Discovering Hidden Features with Gaussian Processes Regression Francesco Vivarelli Basis Selection For Wavelet Regression Kevin R. Wheeler Experiments with an Algorithm which Learns Stochastic Memoryless Policies for Partially Observable Markov Decision Processes John K. Williams and Satinder Singh Using collective intelligence to route internet traffic David Wolpert, Kagan Tumer and Jeremy Frank Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. A.L. Yuille and James M. Coughlan A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory Ping Zhou, Jim Austin and John Kennedy

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