NeurIPS 1997

150 papers

2D Observers for Human 3D Object Recognition? Zili Liu, Daniel Kersten

A 1, 000-Neuron System with One Million 7-Bit Physical Interconnections Yuzo Hirai

A Framework for Multiple-Instance Learning Oded Maron, Tomás Lozano-Pérez

A General Purpose Image Processing Chip: Orientation Detection Ralph Etienne-Cummings, Donghui Cai

A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt, Gideon F. Inbar

A Hippocampal Model of Recognition Memory Randall C. O'Reilly, Kenneth A. Norman, James L. McClelland

A Mathematical Model of Axon Guidance by Diffusible Factors Geoffrey J. Goodhill

A Model of Early Visual Processing Laurent Itti, Jochen Braun, Dale K. Lee, Christof Koch

A Neural Network Based Head Tracking System Daniel D Lee, H. S. Seung

A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick Lucy E. Hadden

A Non-Parametric Multi-Scale Statistical Model for Natural Images Jeremy S. De Bonet, Paul A. Viola

A Revolution: Belief Propagation in Graphs with Cycles Brendan J. Frey, David J. C. MacKay

A Simple and Fast Neural Network Approach to Stereovision Rolf D. Henkel

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction Volker Tresp, Thomas Briegel

A Superadditive-Impairment Theory of Optic Aphasia Michael Mozer, Mark Sitton, Martha J. Farah

Active Data Clustering Thomas Hofmann, Joachim M. Buhmann

Adaptation in Speech Motor Control John F. Houde, Michael I. Jordan

Adaptive Choice of Grid and Time in Reinforcement Learning Stephan Pareigis

Agnostic Classification of Markovian Sequences Ran El-Yaniv, Shai Fine, Naftali Tishby

An Analog VLSI Model of the Fly Elementary Motion Detector Reid R. Harrison, Christof Koch

An Analog VLSI Neural Network for Phase-Based Machine Vision Bertram Emil Shi, Kwok Fai Hui

An Annealed Self-Organizing mAP for Source Channel Coding Matthias Burger, Thore Graepel, Klaus Obermayer

An Application of Reversible-Jump MCMC to Multivariate Spherical Gaussian Mixtures Alan D. Marrs

An Improved Policy Iteration Algorithm for Partially Observable MDPs Eric A. Hansen

An Incremental Nearest Neighbor Algorithm with Queries Joel Ratsaby

Analog VLSI Model of Intersegmental Coordination with Nearest-Neighbor Coupling Girish N. Patel, Jeremy H. Holleman, Stephen P. DeWeerth

Analysis of Drifting Dynamics with Neural Network Hidden Markov Models Jens Kohlmorgen, Klaus-Robert Müller, Klaus Pawelzik

Analytical Study of the Interplay Between Architecture and Predictability Avner Priel, Ido Kanter, David A. Kessler

Approximating Posterior Distributions in Belief Networks Using Mixtures Christopher M. Bishop, Neil D. Lawrence, Tommi Jaakkola, Michael I. Jordan

Asymptotic Theory for Regularization: One-Dimensional Linear Case Petri Koistinen

Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments Jeffrey F. Monaco, David G. Ward, Andrew G. Barto

Bach in a Box - Real-Time Harmony Randall R. Spangler, Rodney M. Goodman, Jim Hawkins

Bayesian Model of Surface Perception William T. Freeman, Paul A. Viola

Bayesian Robustification for Audio Visual Fusion Javier R. Movellan, Paul Mineiro

Bidirectional Retrieval from Associative Memory Friedrich T. Sommer, Günther Palm

Blind Separation of Radio Signals in Fading Channels Kari Torkkola

Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate Using Reverse Correlation R. Christopher DeCharms, Michael Merzenich

Classification by Pairwise Coupling Trevor Hastie, Robert Tibshirani

Coding of Naturalistic Stimuli by Auditory Midbrain Neurons Hagai Attias, Christoph E. Schreiner

Combining Classifiers Using Correspondence Analysis Christopher J. Merz

Comparison of Human and Machine Word Recognition Markus Schenkel, Cyril Latimer, Marwan A. Jabri

Competitive On-Line Linear Regression Volodya Vovk

Computing with Action Potentials John J. Hopfield, Carlos D. Brody, Sam Roweis

Correlates of Attention in a Model of Dynamic Visual Recognition Rajesh P. N. Rao

Data-Dependent Structural Risk Minimization for Perceptron Decision Trees John Shawe-Taylor, Nello Cristianini

Detection of First and Second Order Motion Alexander Grunewald, Heiko Neumann

Dynamic Stochastic Synapses as Computational Units Wolfgang Maass, Anthony M. Zador

Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex Erik D. Lumer

EM Algorithms for PCA and SPCA Sam T. Roweis

Enhancing Q-Learning for Optimal Asset Allocation Ralph Neuneier

Ensemble and Modular Approaches for Face Detection: A Comparison Raphaël Feraud, Olivier Bernier

Ensemble Learning for Multi-Layer Networks David Barber, Christopher M. Bishop

Estimating Dependency Structure as a Hidden Variable Marina Meila, Michael I. Jordan

Experiences with Bayesian Learning in a Real World Application Peter Sykacek, Georg Dorffner, Peter Rappelsberger, Josef Zeitlhofer

Extended ICA Removes Artifacts from Electroencephalographic Recordings Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski

Factorizing Multivariate Function Classes Juan K. Lin

Features as Sufficient Statistics Davi Geiger, Archisman Rudra, Laurance T. Maloney

From Regularization Operators to Support Vector Kernels Alex J. Smola, Bernhard Schölkopf

Function Approximation with the Sweeping Hinge Algorithm Don R. Hush, Fernando Lozano, Bill G. Horne

Generalization in Decision Trees and DNF: Does Size Matter? Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason

Generalized Prioritized Sweeping David Andre, Nir Friedman, Ronald Parr

Globally Optimal On-Line Learning Rules Magnus Rattray, David Saad

Gradients for Retinotectal Mapping Geoffrey J. Goodhill

Graph Matching with Hierarchical Discrete Relaxation Richard C. Wilson, Edwin R. Hancock

Hierarchical Non-Linear Factor Analysis and Topographic Maps Zoubin Ghahramani, Geoffrey E. Hinton

Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J. Foster, Richard G. M. Morris, Peter Dayan

How to Dynamically Merge Markov Decision Processes Satinder P. Singh, David Cohn

Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction Daniel Willett, Gerhard Rigoll

Hybrid Reinforcement Learning and Its Application to Biped Robot Control Satoshi Yamada, Akira Watanabe, Michio Nakashima

Incorporating Contextual Information in White Blood Cell Identification Xubo B. Song, Yaser S. Abu-Mostafa, Joseph Sill, Harvey Kasdan

Incorporating Test Inputs into Learning Zehra Cataltepe, Malik Magdon-Ismail

Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja

Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus Ernst R. Dow, Thomas J. Anastasio

Intrusion Detection with Neural Networks Jake Ryan, Meng-Jang Lin, Risto Miikkulainen

Just One View: Invariances in Inferotemporal Cell Tuning Maximilian Riesenhuber, Tomaso Poggio

Learning Continuous Attractors in Recurrent Networks H. Sebastian Seung

Learning Generative Models with the up Propagation Algorithm Jong-Hoon Oh, H. Sebastian Seung

Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report Thomas K. Landauer, Darrell Laham, Peter W. Foltz

Learning Nonlinear Overcomplete Representations for Efficient Coding Michael S. Lewicki, Terrence J. Sejnowski

Learning Path Distributions Using Nonequilibrium Diffusion Networks Paul Mineiro, Javier R. Movellan, Ruth J. Williams

Learning to Order Things William W. Cohen, Robert E. Schapire, Yoram Singer

Learning to Schedule Straight-Line Code J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff

Linear Concepts and Hidden Variables: An Empirical Study Adam J. Grove, Dan Roth

Local Dimensionality Reduction Stefan Schaal, Sethu Vijayakumar, Christopher G. Atkeson

Mapping a Manifold of Perceptual Observations Joshua B. Tenenbaum

MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations Dominik Hörnel

Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield

Modeling Acoustic Correlations by Factor Analysis Lawrence K. Saul, Mazin G. Rahim

Modeling Complex Cells in an Awake Macaque During Natural Image Viewing William E. Vinje, Jack L. Gallant

Modelling Seasonality and Trends in Daily Rainfall Data Peter M. Williams

Monotonic Networks Joseph Sill

Multi-Modular Associative Memory Nir Levy, David Horn, Eytan Ruppin

Multi-Time Models for Temporally Abstract Planning Doina Precup, Richard S. Sutton

Multiple Threshold Neural Logic Vasken Bohossian, Jehoshua Bruck

Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring Howard Hua Yang

Multiresolution Tangent Distance for Affine-Invariant Classification Nuno Vasconcelos, Andrew Lippman

Neural Basis of Object-Centered Representations Sophie Denève, Alexandre Pouget

New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit Aapo Hyvärinen

Nonlinear Markov Networks for Continuous Variables Reimar Hofmann, Volker Tresp

Nonparametric Model-Based Reinforcement Learning Christopher G. Atkeson

On Efficient Heuristic Ranking of Hypotheses Steve A. Chien, Andre Stechert, Darren Mutz

On Parallel Versus Serial Processing: A Computational Study of Visual Search Eyal Cohen, Eytan Ruppin

On the Infeasibility of Training Neural Networks with Small Squared Errors Van H. Vu

On the Separation of Signals from Neighboring Cells in Tetrode Recordings Maneesh Sahani, John S. Pezaris, Richard A. Andersen

On-Line Learning from Finite Training Sets in Nonlinear Networks Peter Sollich, David Barber

Perturbative M-Sequences for Auditory Systems Identification Mark Kvale, Christoph E. Schreiner

Phase Transitions and the Perceptual Organization of Video Sequences Yair Weiss

Prior Knowledge in Support Vector Kernels Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik

Radial Basis Functions: A Bayesian Treatment David Barber, Bernhard Schottky

RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions Mark Ring

Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper

Recovering Perspective Pose with a Dual Step EM Algorithm Andrew D. J. Cross, Edwin R. Hancock

Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting Paul Rodriguez, Janet Wiles

Refractoriness and Neural Precision Michael J. Berry Ii, Markus Meister

Regression with Input-Dependent Noise: A Gaussian Process Treatment Paul W. Goldberg, Christopher K. I. Williams, Christopher M. Bishop

Regularisation in Sequential Learning Algorithms João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee

Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks Peter Marbach, Oliver Mihatsch, Miriam Schulte, John N. Tsitsiklis

Reinforcement Learning for Continuous Stochastic Control Problems Rémi Munos, Paul Bourgine

Reinforcement Learning with Hierarchies of Machines Ronald Parr, Stuart J. Russell

Relative Loss Bounds for Multidimensional Regression Problems Jyrki Kivinen, Manfred K. Warmuth

S-mAP: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings Kimmo Kiviluoto, Erkki Oja

Selecting Weighting Factors in Logarithmic Opinion Pools Tom Heskes

Self-Similarity Properties of Natural Images Antonio Turiel, Germán Mato, Néstor Parga, Jean-Pierre Nadal

Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure Jeanne C. Milostan, Garrison W. Cottrell

Shared Context Probabilistic Transducers Yoshua Bengio, Samy Bengio, Jean-Franc Isabelle, Yoram Singer

Silicon Retina with Adaptive Filtering Properties Shih-Chii Liu

Stacked Density Estimation Padhraic Smyth, David Wolpert

Statistical Models of Conditioning Peter Dayan, Theresa Long

Structural Risk Minimization for Nonparametric Time Series Prediction Ron Meir

Structure Driven Image Database Retrieval Jeremy S. De Bonet, Paul A. Viola

Synaptic Transmission: An Information-Theoretic Perspective Amit Manwani, Christof Koch

Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis Bill Baird

Task and Spatial Frequency Effects on Face Specialization Matthew N. Dailey, Garrison W. Cottrell

The Asymptotic Convergence-Rate of Q-Learning Csaba Szepesvári

The Canonical Distortion Measure in Feature Space and 1-NN Classification Jonathan Baxter, Peter L. Bartlett

The Efficiency and the Robustness of Natural Gradient Descent Learning Rule Howard Hua Yang, Shun-ichi Amari

The Error Coding and Substitution PaCTs Gareth James, Trevor Hastie

The Observer-Observation Dilemma in Neuro-Forecasting Hans-Georg Zimmermann, Ralph Neuneier

The Rectified Gaussian Distribution Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung

The Storage Capacity of a Fully-Connected Committee Machine Yuansheng Xiong, Chulan Kwon, Jong-Hoon Oh

Toward a Single-Cell Account for Binocular Disparity Tuning: An Energy Model May Be Hiding in Your Dendrites Bartlett W. Mel, Daniel L. Ruderman, Kevin A. Archie

Training Methods for Adaptive Boosting of Neural Networks Holger Schwenk, Yoshua Bengio

Two Approaches to Optimal Annealing Todd K. Leen, Bernhard Schottky, David Saad

Unsupervised On-Line Learning of Decision Trees for Hierarchical Data Analysis Marcus Held, Joachim M. Buhmann

Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman

Using Expectation to Guide Processing: A Study of Three Real-World Applications Shumeet Baluja

Using Helmholtz Machines to Analyze Multi-Channel Neuronal Recordings Virginia R. de Sa, R. Christopher DeCharms, Michael Merzenich

Visual Navigation in a Robot Using Zig-Zag Behavior M. Anthony Lewis

Wavelet Models for Video Time-Series Sheng Ma, Chuanyi Ji