NeurIPS 1991

144 papers

3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Joshua I. Gold, Heinrich H. Bülthoff, Shimon Edelman

A Comparison Between a Neural Network Model for the Formation of Brain Maps and Experimental Data K. Obermayer, K. Schulten, G. G. Blasdel

A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Huang, Hang Li, Martin Maechler, R. Douglas Martin, Jim Schimert

A Computational Mechanism to Account for Averaged Modified Hand Trajectories Ealan A. Henis, Tamar Flash

A Connectionist Learning Approach to Analyzing Linguistic Stress Prahlad Gupta, David S. Touretzky

A Contrast Sensitive Silicon Retina with Reciprocal Synapses Kwabena A. Boahen, Andreas G. Andreou

A Cortico-Cerebellar Model That Learns to Generate Distributed Motor Commands to Control a Kinematic Arm N. E. Berthier, S. P. Singh, A. G. Barto, J. C. Houk

A Network of Localized Linear Discriminants Martin S. Glassman

A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem Paul Dean, John E. W. Mayhew, Pat Langdon

A Neural Network for Motion Detection of Drift-Balanced Stimuli Hilary Tunley

A Neurocomputer Board Based on the ANNA Neural Network Chip Eduard Säckinger, Bernhard E. Boser, Lawrence D. Jackel

A Parallel Analog CCD/CMOS Signal Processor Charles F. Neugebauer, Amnon Yariv

A Segment-Based Automatic Language Identification System Yeshwant K. Muthusamy, Ronald A. Cole

A Self-Organizing Integrated Segmentation and Recognition Neural Net Jim Keeler, David E. Rumelhart

A Simple Weight Decay Can Improve Generalization Anders Krogh, John A. Hertz

A Topographic Product for the Optimization of Self-Organizing Feature Maps Hans-Ulrich Bauer, Klaus Pawelzik, Theo Geisel

A Weighted Probabilistic Neural Network David Montana

Active Exploration in Dynamic Environments Sebastian B. Thrun, Knut Möller

Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes Sheri L. Gish, Mario Blaum

Adaptive Elastic Models for Hand-Printed Character Recognition Geoffrey E. Hinton, Christopher K. I. Williams, Michael D. Revow

Adaptive Soft Weight Tying Using Gaussian Mixtures Steven J. Nowlan, Geoffrey E. Hinton

Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya, Shuji Yoshizawa

Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell, Alex Pentland

Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals Marc H. Cohen, Philippe O. Pouliquen, Andreas G. Andreou

ANN Based Classification for Heart Defibrillators M. Jabri, S. Pickard, P. Leong, Z. Chi, B. Flower, Y. Xie

Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill Ah Chung Tsoi

Bayesian Model Comparison and Backprop Nets David J. C. MacKay

Benchmarking Feed-Forward Neural Networks: Models and Measures Leonard G. C. Hamey

Best-First Model Merging for Dynamic Learning and Recognition Stephen M. Omohundro

Burst Synchronization Without Frequency Locking in a Completely Solvable Neural Network Model Heinz Schuster, Christof Koch

CCD Neural Network Processors for Pattern Recognition Alice M. Chiang, Michael L. Chuang, Jeffrey R. LaFranchise

Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery Hayit K. Greenspan, Rodney Goodman, Rama Chellappa

Competitive Anti-Hebbian Learning of Invariants Nicol N. Schraudolph, Terrence J. Sejnowski

Computer Recognition of Wave Location in Graphical Data by a Neural Network Donald T. Freeman

Connectionist Optimisation of Tied Mixture Hidden Markov Models Steve Renals, Nelson Morgan, Hervé Bourlard, Horacio Franco, Michael Cohen

Constant-Time Loading of Shallow 1-Dimensional Networks Stephen Judd

Constrained Optimization Applied to the Parameter Setting Problem for Analog Circuits David Kirk, Kurt Fleischer, Lloyd Watts, Alan Barr

Constructing Proofs in Symmetric Networks Gadi Pinkus

Data Analysis Using G/SPLINES David Rogers

Decoding of Neuronal Signals in Visual Pattern Recognition Emad N. Eskandar, Barry J. Richmond, John A. Hertz, Lance M. Optican, Troels W. Kjær

Direction Selective Silicon Retina That Uses Null Inhibition Ronald G. Benson, Tobi Delbrück

Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A. B. Bonds

Dynamically-Adaptive Winner-Take-All Networks Trent E. Lange

English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald A. Cole, Krist Roginski

Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods David Haussler, Michael Kearns, Manfred Opper, Robert Schapire

Experimental Evaluation of Learning in a Neural Microsystem Joshua Alspector, Anthony Jayakumar, Stephan Luna

Extracting and Learning an Unknown Grammar with Recurrent Neural Networks C. L. Giles, C. B. Miller, D. Chen, G. Z. Sun, H. H. Chen, Y. C. Lee

Fast Learning with Predictive Forward Models Carlos Brody

Fast, Robust Adaptive Control by Learning Only Forward Models Andrew W. Moore

Fault Diagnosis of Antenna Pointing Systems Using Hybrid Neural Network and Signal Processing Models Padhraic Smyth, Jeff Mellstrom

Forward Dynamics Modeling of Speech Motor Control Using Physiological Data Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael I. Jordan

Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture Ajay N. Jain

Gradient Descent: Second Order Momentum and Saturating Error Barak Pearlmutter

Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee

HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach Hermann Hild, Johannes Feulner, Wolfram Menzel

Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen A. Fisher, Terrence J. Sejnowski

Hierarchies of Adaptive Experts Michael I. Jordan, Robert A. Jacobs

Human and Machine 'Quick Modeling' Jakob Bernasconi, Karl Gustafson

Illumination and View Position in 3D Visual Recognition Amnon Shashua

Image Segmentation with Networks of Variable Scales Hans Peter Graf, Craig R. Nohl, Jan Ben

Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks Elliot Singer, Richard P Lippmann

Improving the Performance of Radial Basis Function Networks by Learning Center Locations Dietrich Wettschereck, Thomas Dietterich

Incrementally Learning Time-Varying Half-Planes Anthony Kuh, Thomas Petsche, Ronald L. Rivest

Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond L. Watrous, Gary M. Kuhn

Induction of Multiscale Temporal Structure Michael Mozer

Information Measure Based Skeletonisation Sowmya Ramachandran, Lorien Y. Pratt

Information Processing to Create Eye Movements David A. Robinson

Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffrey Towell, Jude W. Shavlik

Iterative Construction of Sparse Polynomial Approximations Terence D. Sanger, Richard S. Sutton, Christopher J. Matheus

JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay N. Jain, Arthur E. McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna

Kernel Regression and Backpropagation Training with Noise Petri Koistinen, Lasse Holmström

Learning Global Direct Inverse Kinematics David DeMers, Kenneth Kreutz-Delgado

Learning How to Teach or Selecting Minimal Surface Data Davi Geiger, Ricardo A. Marques Pereira

Learning in Feedforward Networks with Nonsmooth Functions Nicholas J. Redding, T. Downs

Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation Thomas J. Anastasio

Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker, Geoffrey E. Hinton

Learning to Segment Images Using Dynamic Feature Binding Michael Mozer, Richard S. Zemel, Marlene Behrmann

Learning Unambiguous Reduced Sequence Descriptions Jürgen Schmidhuber

Linear Operator for Object Recognition Ronen Basri, Shimon Ullman

Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James T. Buchanan

Markov Random Fields Can Bridge Levels of Abstraction Paul R. Cooper, Peter N. Prokopowicz

Merging Constrained Optimisation with Deterministic Annealing to "Solve" Combinatorially Hard Problems Paul Stolorz

Modeling Applications with the Focused Gamma Net José Carlos Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro Guedes de Oliveira

Models Wanted: Must Fit Dimensions of Sleep and Dreaming J. Allan Hobson, Adam N. Mamelak, Jeffrey P. Sutton

Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker

Multi-State Time Delay Networks for Continuous Speech Recognition Patrick Haffner, Alex Waibel

Multimodular Architecture for Remote Sensing Operations. Sylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crépon

Network Activity Determines Spatio-Temporal Integration in Single Cells Öjvind Bernander, Christof Koch, Rodney J. Douglas

Network Generalization for Production: Learning and Producing Styled Letterforms Igor Grebert, David G. Stork, Ron Keesing, Steve Mims

Network Model of State-Dependent Sequencing Jeffrey P. Sutton, Adam N. Mamelak, J. Allan Hobson

Networks for the Separation of Sources That Are Superimposed and Delayed John C. Platt, Federico Faggin

Networks with Learned Unit Response Functions John Moody, Norman Yarvin

Neural Computing with Small Weights Kai-Yeung Siu, Jehoshua Bruck

Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency Martin Röscheisen, Reimar Hofmann, Volker Tresp

Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe

Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Rita Venturini, William W. Lytton, Terrence J. Sejnowski

Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images Armando Manduca, Paul Christy, Richard Ehman

Neural Network Routing for Random Multistage Interconnection Networks Mark W. Goudreau, C. Lee Giles

Node Splitting: A Constructive Algorithm for Feed-Forward Neural Networks Mike Wynne-Jones

Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony M. Zador, Brenda J. Claiborne, Thomas H. Brown

Obstacle Avoidance Through Reinforcement Learning Tony J. Prescott, John E. W. Mayhew

Operators and Curried Functions: Training and Analysis of Simple Recurrent Networks Janet Wiles, Anthony Bloesch

Optical Implementation of a Self-Organizing Feature Extractor Dana Z. Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, Mark Saffman

Oscillatory Model of Short Term Memory David Horn, Marius Usher

Oscillatory Neural Fields for Globally Optimal Path Planning Michael Lemmon

Perturbing Hebbian Rules Peter Dayan, Geoffrey Goodhill

Polynomial Uniform Convergence of Relative Frequencies to Probabilities Alberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza

Practical Issues in Temporal Difference Learning Gerald Tesauro

Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction John Moody, Joachim Utans

Principles of Risk Minimization for Learning Theory V. Vapnik

Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald A. Sumida, Michael G. Dyer

Recognition of Manipulated Objects by Motor Learning Hiroaki Gomi, Mitsuo Kawato

Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition Gale L. Martin, Mosfeq Rashid

Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion Paul A. Viola, Stephen G. Lisberger, Terrence J. Sejnowski

Recurrent Networks and NARMA Modeling Jerome Connor, Les E. Atlas, Douglas R. Martin

Refining PID Controllers Using Neural Networks Gary M. Scott, Jude W. Shavlik, W. Harmon Ray

Repeat Until Bored: A Pattern Selection Strategy Paul W. Munro

Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David G. Stork, Carla J. Shatz

Reverse TDNN: An Architecture for Trajectory Generation Patrice Simard, Yann Le Cun

Rule Induction Through Integrated Symbolic and Subsymbolic Processing Clayton McMillan, Michael Mozer, Paul Smolensky

Segmentation Circuits Using Constrained Optimization John G. Harris

Self-Organization in Real Neurons: Anti-Hebb in 'Channel Space'? Anthony J. Bell

Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers J. B. Hampshire Ii, B. V. K. Vijaya Kumar

Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model Menashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki

Single Neuron Model: Response to Weak Modulation in the Presence of Noise A. R. Bulsara, W. Jacobs

Software for ANN Training on a Ring Array Processor Phil Kohn, Jeff Bilmes, Nelson Morgan, James Beck

Some Approximation Properties of Projection Pursuit Learning Networks Ying Zhao, Christopher G. Atkeson

Splines, Rational Functions and Neural Networks Robert C. Williamson, Peter L. Bartlett

Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark R. Sydorenko, Eric D. Young

Statistical Reliability of a Blowfly Movement-Sensitive Neuron Rob de Ruyter van Steveninck, William Bialek

Structural Risk Minimization for Character Recognition I. Guyon, V. Vapnik, B. Boser, L. Bottou, S. A. Solla

Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network Patrice Simard, Bernard Victorri, Yann LeCun, John Denker

Temporal Adaptation in a Silicon Auditory Nerve John Lazzaro

The Clusteron: Toward a Simple Abstraction for a Complex Neuron Bartlett W. Mel

The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems John E. Moody

The Efficient Learning of Multiple Task Sequences Satinder P. Singh

The VC-Dimension Versus the Statistical Capacity of Multilayer Networks Chuanyi Ji, Demetri Psaltis

Threshold Network Learning in the Presence of Equivalences John Shawe-Taylor

Time-Warping Network: A Hybrid Framework for Speech Recognition Esther Levin, Roberto Pieraccini, Enrico Bocchieri

Towards Faster Stochastic Gradient Search Christian Darken, John Moody

Unsupervised Classifiers, Mutual Information and 'Phantom Targets John S. Bridle, Anthony J. R. Heading, David J. C. MacKay

Unsupervised Learning of Distributions on Binary Vectors Using Two Layer Networks Yoav Freund, David Haussler

VISIT: A Neural Model of Covert Visual Attention Subutai Ahmad

Visual Grammars and Their Neural Nets Eric Mjolsness