Advances in Neural Information Processing Systems 4 (NIPS 1991)

• English Alphabet Recognition with Telephone Speech Mark Fanty, Ronald Cole, Krist Roginski
• Recognizing Overlapping Hand-Printed Characters by Centered-Object Integrated Segmentation and Recognition Gale L. Martin, Mosfeq Rashid
• Adaptive Soft Weight Tying using Gaussian Mixtures Steven Nowlan, Geoffrey E. Hinton
• Multi-State Time Delay Networks for Continuous Speech Recognition Patrick Haffner, Alex Waibel
• Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation Yoshua Bengio, Renato De Mori, Giovanni Flammia, Ralf Kompe
• Threshold Network Learning in the Presence of Equivalences John Shawe-Taylor
• Node Splitting: A Constructive Algorithm for Feed-Forward Neural Networks Mike Wynne-Jones
• Structural Risk Minimization for Character Recognition I. Guyon, V. Vapnik, B. Boser, L. Bottou, S. A. Solla
• Computer Recognition of Wave Location in Graphical Data by a Neural Network Donald Freeman
• Improved Hidden Markov Model Speech Recognition Using Radial Basis Function Networks Elliot Singer, Richard P. Lippmann
• Connectionist Optimisation of Tied Mixture Hidden Markov Models Steve Renals, Nelson Morgan, Hervé Bourlard, Horacio Franco, Michael Cohen
• Principled Architecture Selection for Neural Networks: Application to Corporate Bond Rating Prediction John Moody, Joachim Utans
• 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
• Network activity determines spatio-temporal integration in single cells Öjvind Bernander, Christof Koch, Rodney Douglas
• Image Segmentation with Networks of Variable Scales Hans Graf, Craig Nohl, Jan Ben
• Decoding of Neuronal Signals in Visual Pattern Recognition Emad Eskandar, Barry Richmond, John Hertz, Lance Optican, Troels Kjær
• Analog LSI Implementation of an Auto-Adaptive Network for Real-Time Separation of Independent Signals Marc Cohen, Philippe Pouliquen, Andreas Andreou
• Learning in Feedforward Networks with Nonsmooth Functions Nicholas Redding, T. Downs
• Constructing Proofs in Symmetric Networks Gadi Pinkus
• A Weighted Probabilistic Neural Network David Montana
• Shooting Craps in Search of an Optimal Strategy for Training Connectionist Pattern Classifiers J. B. Hampshire II, B. Kumar
• Multimodular Architecture for Remote Sensing Operations. Sylvie Thiria, Carlos Mejia, Fouad Badran, Michel Crépon
• Learning in the Vestibular System: Simulations of Vestibular Compensation Using Recurrent Back-Propagation Thomas Anastasio
• Repeat Until Bored: A Pattern Selection Strategy Paul Munro
• Refining PID Controllers using Neural Networks Gary Scott, Jude Shavlik, W. Ray
• A Cortico-Cerebellar Model that Learns to Generate Distributed Motor Commands to Control a Kinematic Arm N. Berthier, S. P. Singh, A. G. Barto, J. C. Houk
• Linear Operator for Object Recognition Ronen Basri, Shimon Ullman
• Learning Unambiguous Reduced Sequence Descriptions Jürgen Schmidhuber
• Dynamically-Adaptive Winner-Take-All Networks Trent Lange
• Some Approximation Properties of Projection Pursuit Learning Networks Ying Zhao, Christopher Atkeson
• Unsupervised learning of distributions on binary vectors using two layer networks Yoav Freund, David Haussler
• Best-First Model Merging for Dynamic Learning and Recognition Stephen Omohundro
• Neural Computing with Small Weights Kai-Yeung Siu, Jehoshua Bruck
• A Segment-Based Automatic Language Identification System Yeshwant Muthusamy, Ronald Cole
• A Topographic Product for the Optimization of Self-Organizing Feature Maps Hans-Ulrich Bauer, Klaus Pawelzik, Theo Geisel
• Learning How to Teach or Selecting Minimal Surface Data Davi Geiger, Ricardo Pereira
• Visual Grammars and Their Neural Nets Eric Mjolsness
• Hierarchical Transformation of Space in the Visual System Alexandre Pouget, Stephen Fisher, Terrence J. Sejnowski
• Illumination and View Position in 3D Visual Recognition Amnon Shashua
• Constant-Time Loading of Shallow 1-Dimensional Networks Stephen Judd
• Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery Hayit K. Greenspan, Rodney Goodman, Rama Chellappa
• Experimental Evaluation of Learning in a Neural Microsystem Joshua Alspector, Anthony Jayakumar, Stephan Luna
• Recurrent Eye Tracking Network Using a Distributed Representation of Image Motion Paul Viola, Stephen Lisberger, Terrence J. Sejnowski
• Against Edges: Function Approximation with Multiple Support Maps Trevor Darrell, Alex Pentland
• Induction of Multiscale Temporal Structure Michael C. Mozer
• Locomotion in a Lower Vertebrate: Studies of the Cellular Basis of Rhythmogenesis and Oscillator Coupling James Buchanan
• Single Neuron Model: Response to Weak Modulation in the Presence of Noise A. R. Bulsara, W. Jacobs
• Fast Learning with Predictive Forward Models Carlos Brody
• Nonlinear Pattern Separation in Single Hippocampal Neurons with Active Dendritic Membrane Anthony Zador, Brenda Claiborne, Thomas Brown
• A Neural Network for Motion Detection of Drift-Balanced Stimuli Hilary Tunley
• Generalization Performance in PARSEC - A Structured Connectionist Parsing Architecture Ajay Jain
• Hierarchies of adaptive experts Michael Jordan, Robert Jacobs
• Optical Implementation of a Self-Organizing Feature Extractor Dana Anderson, Claus Benkert, Verena Hebler, Ju-Seog Jang, Don Montgomery, Mark Saffman
• A Neurocomputer Board Based on the ANNA Neural Network Chip Eduard Säckinger, Bernhard Boser, Lawrence Jackel
• Adaptive Synchronization of Neural and Physical Oscillators Kenji Doya, Shuji Yoshizawa
• Recurrent Networks and NARMA Modeling Jerome Connor, Les Atlas, Douglas Martin
• ANN Based Classification for Heart Defibrillators M. Jabri, S. Pickard, P. Leong, Z. Chi, B. Flower, Y. Xie
• Adaptive Development of Connectionist Decoders for Complex Error-Correcting Codes Sheri Gish, Mario Blaum
• Self-organization in real neurons: Anti-Hebb in 'Channel Space'? Anthony Bell
• Tangent Prop - A formalism for specifying selected invariances in an adaptive network Patrice Simard, Bernard Victorri, Yann LeCun, John Denker
• Human and Machine 'Quick Modeling' Jakob Bernasconi, Karl Gustafson
• Practical Issues in Temporal Difference Learning Gerald Tesauro
• A Network of Localized Linear Discriminants Martin Glassman
• Multi-Digit Recognition Using a Space Displacement Neural Network Ofer Matan, Christopher J. C. Burges, Yann LeCun, John Denker
• JANUS: Speech-to-Speech Translation Using Connectionist and Non-Connectionist Techniques Alex Waibel, Ajay Jain, Arthur McNair, Joe Tebelskis, Louise Osterholtz, Hiroaki Saito, Otto Schmidbauer, Tilo Sloboda, Monika Woszczyna
• A Parallel Analog CCD/CMOS Signal Processor Charles Neugebauer, Amnon Yariv
• Iterative Construction of Sparse Polynomial Approximations Terence Sanger, Richard S. Sutton, Christopher Matheus
• A Computational Mechanism to Account for Averaged Modified Hand Trajectories Ealan Henis, Tamar Flash
• Learning Global Direct Inverse Kinematics David DeMers, Kenneth Kreutz-Delgado
• VISIT: A Neural Model of Covert Visual Attention Subutai Ahmad
• Kernel Regression and Backpropagation Training With Noise Petri Koistinen, Lasse Holmström
• Recognition of Manipulated Objects by Motor Learning Hiroaki Gomi, Mitsuo Kawato
• Temporal Adaptation in a Silicon Auditory Nerve John Lazzaro
• Oscillatory Model of Short Term Memory David Horn, Marius Usher
• Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods David Haussler, Michael Kearns, Manfred Opper, Robert Schapire
• Operators and curried functions: Training and analysis of simple recurrent networks Janet Wiles, Anthony Bloesch
• The Efficient Learning of Multiple Task Sequences Satinder Singh
• Benchmarking Feed-Forward Neural Networks: Models and Measures Leonard Hamey
• CCD Neural Network Processors for Pattern Recognition Alice Chiang, Michael Chuang, Jeffrey LaFranchise
• A Simple Weight Decay Can Improve Generalization Anders Krogh, John Hertz
• Neural Network Diagnosis of Avascular Necrosis from Magnetic Resonance Images Armando Manduca, Paul Christy, Richard Ehman
• Obstacle Avoidance through Reinforcement Learning Tony Prescott, John Mayhew
• The VC-Dimension versus the Statistical Capacity of Multilayer Networks Chuanyi Ji, Demetri Psaltis
• Improving the Performance of Radial Basis Function Networks by Learning Center Locations Dietrich Wettschereck, Thomas Dietterich
• Models Wanted: Must Fit Dimensions of Sleep and Dreaming J. Hobson, Adam Mamelak, Jeffrey Sutton
• Merging Constrained Optimisation with Deterministic Annealing to "Solve" Combinatorially Hard Problems Paul Stolorz
• Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency Martin Röscheisen, Reimar Hofmann, Volker Tresp
• Polynomial Uniform Convergence of Relative Frequencies to Probabilities Alberto Bertoni, Paola Campadelli, Anna Morpurgo, Sandra Panizza
• Forward Dynamics Modeling of Speech Motor Control Using Physiological Data Makoto Hirayama, Eric Vatikiotis-Bateson, Mitsuo Kawato, Michael Jordan
• Learning to Segment Images Using Dynamic Feature Binding Michael C. Mozer, Richard Zemel, Marlene Behrmann
• Simulation of Optimal Movements Using the Minimum-Muscle-Tension-Change Model Menashe Dornay, Yoji Uno, Mitsuo Kawato, Ryoji Suzuki
• Neural Network Analysis of Event Related Potentials and Electroencephalogram Predicts Vigilance Rita Venturini, William Lytton, Terrence J. Sejnowski
• HARMONET: A Neural Net for Harmonizing Chorales in the Style of J. S. Bach Hermann Hild, Johannes Feulner, Wolfram Menzel
• A Self-Organizing Integrated Segmentation and Recognition Neural Net Jim Keeler, David Rumelhart
• A Comparison of Projection Pursuit and Neural Network Regression Modeling Jenq-Neng Huang, Hang Li, Martin Maechler, R. Martin, Jim Schimert
• Unsupervised Classifiers, Mutual Information and 'Phantom Targets John Bridle, Anthony Heading, David MacKay
• Fast, Robust Adaptive Control by Learning only Forward Models Andrew Moore
• Induction of Finite-State Automata Using Second-Order Recurrent Networks Raymond Watrous, Gary Kuhn
• Network generalization for production: Learning and producing styled letterforms Igor Grebert, David Stork, Ron Keesing, Steve Mims
• Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
• Constrained Optimization Applied to the Parameter Setting Problem for Analog Circuits David Kirk, Kurt Fleischer, Lloyd Watts, Alan Barr
• Fault Diagnosis of Antenna Pointing Systems using Hybrid Neural Network and Signal Processing Models Padhraic Smyth, Jeff Mellstrom
• Network Model of State-Dependent Sequencing Jeffrey Sutton, Adam Mamelak, J. Hobson
• Splines, Rational Functions and Neural Networks Robert C. Williamson, Peter Bartlett
• Learning to Make Coherent Predictions in Domains with Discontinuities Suzanna Becker, Geoffrey E. Hinton
• Bayesian Model Comparison and Backprop Nets David MacKay
• Networks for the Separation of Sources that are Superimposed and Delayed John Platt, Federico Faggin
• Burst Synchronization without Frequency Locking in a Completely Solvable Neural Network Model Heinz Schuster, Christof Koch
• Incrementally Learning Time-varying Half-planes Anthony Kuh, Thomas Petsche, Ronald Rivest
• Oscillatory Neural Fields for Globally Optimal Path Planning Michael Lemmon
• Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity Ron Keesing, David Stork, Carla Shatz
• A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem Paul Dean, John Mayhew, Pat Langdon
• Segmentation Circuits Using Constrained Optimization John Harris
• Rule Induction through Integrated Symbolic and Subsymbolic Processing Clayton McMillan, Michael C. Mozer, Paul Smolensky
• A comparison between a neural network model for the formation of brain maps and experimental data K. Obermayer, K. Schulten, G. G. Blasdel
• A Connectionist Learning Approach to Analyzing Linguistic Stress Prahlad Gupta, David Touretzky
• Stationarity of Synaptic Coupling Strength Between Neurons with Nonstationary Discharge Properties Mark R. Sydorenko, Eric Young
• Time-Warping Network: A Hybrid Framework for Speech Recognition Esther Levin, Roberto Pieraccini, Enrico Bocchieri
• The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems John Moody
• Dual Inhibitory Mechanisms for Definition of Receptive Field Characteristics in a Cat Striate Cortex A. Bonds
• Statistical Reliability of a Blowfly Movement-Sensitive Neuron Rob de Ruyter van Steveninck, William Bialek
• Networks with Learned Unit Response Functions John Moody, Norman Yarvin
• Adaptive Elastic Models for Hand-Printed Character Recognition Geoffrey E. Hinton, Christopher Williams, Michael D. Revow
• Modeling Applications with the Focused Gamma Net José Príncipe, Bert de Vries, Jyh-Ming Kuo, Pedro de Oliveira
• Towards Faster Stochastic Gradient Search Christian Darken, John Moody
• Gradient Descent: Second Order Momentum and Saturating Error Barak Pearlmutter
• Active Exploration in Dynamic Environments Sebastian B. Thrun, Knut Möller
• Data Analysis using G/SPLINES David Rogers
• A Contrast Sensitive Silicon Retina with Reciprocal Synapses Kwabena A. Boahen, Andreas Andreou
• Markov Random Fields Can Bridge Levels of Abstraction Paul Cooper, Peter Prokopowicz
• Information Measure Based Skeletonisation Sowmya Ramachandran, Lorien Pratt
• Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules Geoffrey Towell, Jude Shavlik
• Competitive Anti-Hebbian Learning of Invariants Nicol Schraudolph, Terrence J. Sejnowski
• 3D Object Recognition Using Unsupervised Feature Extraction Nathan Intrator, Joshua Gold, Heinrich Bülthoff, Shimon Edelman
• Information Processing to Create Eye Movements David Robinson
• Propagation Filters in PDS Networks for Sequencing and Ambiguity Resolution Ronald Sumida, Michael Dyer
• Neural Network Routing for Random Multistage Interconnection Networks Mark Goudreau, C. Giles
• Direction Selective Silicon Retina that uses Null Inhibition Ronald Benson, Tobi Delbrück
• Software for ANN training on a Ring Array Processor Phil Kohn, Jeff Bilmes, Nelson Morgan, James Beck
• The Clusteron: Toward a Simple Abstraction for a Complex Neuron Bartlett Mel
• Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill Ah Tsoi
• Reverse TDNN: An Architecture For Trajectory Generation Patrice Simard, Yann Le Cun
• Principles of Risk Minimization for Learning Theory V. Vapnik
• Perturbing Hebbian Rules Peter Dayan, Geoffrey Goodhill