NIPS 1990:
Denver,
CO,
USA
Richard Lippmann, John E. Moody, David S. Touretzky (Eds.):
Advances in Neural Information Processing Systems 3, [NIPS Conference, Denver, Colorado, USA, November 26-29, 1990].
Morgan Kaufmann 1991, ISBN 1-55860-184-8 BibTeX
@proceedings{DBLP:conf/nips/1990,
editor = {Richard Lippmann and
John E. Moody and
David S. Touretzky},
title = {Advances in Neural Information Processing Systems 3, [NIPS Conference,
Denver, Colorado, USA, November 26-29, 1990]},
booktitle = {NIPS},
publisher = {Morgan Kaufmann},
year = {1991},
isbn = {1-55860-184-8},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Part 1:
Neurobiology
- Jack D. Cowan, A. E. Friedman:
Studies of a Model for the Development and Regeneration of Eye-Brain Maps.
3-10
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- Klaus Obermayer, Helge Ritter, Klaus Schulten:
Development and Spatial Structure of Cortical Feature Maps: A Model Study.
11-17
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- Shigeru Tanaka:
Interaction Among Ocularity, Retinotopy and On-center/Off-center Pathways.
18-25
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- Jack D. Cowan, A. E. Friedman:
Simple Spin Models for the Development of Ocular Dominance Columns and Iso-Orientation Patches.
26-31
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- Thomas J. Anastasio:
A Recurrent Neural Network Model of Velocity Storage in the Vestibulo-Ocular Reflex.
32-38
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- Thomas H. Brown, Zachary F. Mainen, Anthony M. Zador, Brenda J. Claiborne:
Self-organization of Hebbian Synapses in Hippocampal Neurons.
39-45
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- Michael E. Hasselmo, Brooke P. Anderson, James M. Bower:
Cholinergic Modulation May Enhance Cortical Associative Memory Function.
46-52
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Part 2:
Neuro-Dynamics
Part 3:
Oscillations
Part 4:
Temporal Reasoning
Part 5:
Speech
- Joe Tebelskis, Alex Waibel, Bojan Petek, Otto Schmidbauer:
Continuous Speech Recognition by Linked Predictive Neural Networks.
199-205
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- Robert B. Allen, Candace A. Kamm:
A Recurrent Neural Network for Word Identification from Continuous Phoneme Strings.
206-212
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- Hervé Bourlard, Nelson Morgan, Chuck Wooters:
Connectionist Approaches to the Use of Markov Models for Speech Recognition.
213-219
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- Mark A. Fanty, Ronald Cole:
Spoken Letter Recognition.
220-226
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- Ken-ichi Iso, Takao Watanabe:
Speech Recognition Using Demi-Syllable Neural Prediction Model.
227-233
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- John S. Bridle, Stephen Cox:
RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition.
234-240
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- Nathan Intrator:
Exploratory Feature Extraction in Speech Signals.
241-247
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- Hong C. Leung, James R. Glass, Michael S. Phillips, Victor Zue:
Phonetic Classification and Recognition Using the Multi-Layer Perceptron.
248-254
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- Victor Zue, James R. Glass, David Goodine, Lynette Hirschman, Hong C. Leung, Michael S. Phillips, Joseph Polifroni, Stephanie Seneff:
From Speech Recognition to Spoken Language Understanding.
255-261
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- Khalid Choukri:
Speech Recognition Using Connectionist Approaches.
262-269
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Part 6:
Signal Processing
Part 7:
Visual Processing
- Richard S. Zemel, Geoffrey E. Hinton:
Discovering Viewpoint-Invariant Relationships That Characterize Objects.
299-305
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- Volker Tresp:
A Neural Network Approach for Three-Dimensional Object Recognition.
306-312
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- Shelly D. D. Goggin, Kristina M. Johnson, Karl E. Gustafson:
A Second-Order Translation, Rotation and Scale Invariant Neural Network.
313-319
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- Martin I. Sereno, Margaret E. Sereno:
Learning to See Rotation and Dilation with a Hebb Rule.
320-327
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- Alireza Khotanzad, Ying-Wung Lee:
Stereopsis by a Neural Network Which Learns the Constraints.
327-334
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- Amnon Shashua, Shimon Ullman:
Grouping Contours by Iterated Pairing Networks.
335-341
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- Ennio Mingolla:
Neural Dynamics of Motion Segmentation and Grouping.
342-348
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- H. Taichi Wang, Bimal Mathur, Christof Koch:
A Multiscale Adaptive Network Model of Motion Computation in Primates.
349-355
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- Daphna Weinshall:
Qualitative Structure From Motion.
356-362
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- William Bialek, Daniel L. Ruderman, A. Zee:
Optimal Sampling of Natural Images.
363-369
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- Andrew Moore, John Allman, Geoffrey Fox, Rodney M. Goodman:
A VLSI Neural Network for Color Constancy.
370-376
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- Fred Rieke, W. Geoffrey Owen, William Bialek:
Optimal Filtering in the Salamander Retina.
377-383
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- Jeffrey L. Teeters, Frank H. Eeckman, Frank S. Werblin:
A Four Neuron Circuit Accounts for Change Sensitive Inhibition in Salamander Retina.
384-390
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- Josef Skrzypek:
Feedback Synapse to Cone and Light Adaptation.
391-398
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- Wyeth Bair, Christof Koch:
An Analog VLSI Chip for Finding Edges from Zero-crossings.
399-405
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- Timothy K. Horiuchi, John Lazzaro, Andrew Moore, Christof Koch:
A Delay-Line Based Motion Detection Chip.
406-412
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Part 8:
Control and Navigation
- Charles Schley, Yves Chauvin, Van Henkle, Richard M. Golden:
Neural Networks Structured for Control Application to Aircraft Landing.
415-421
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- Lionel Tarassenko, Michael Brownlow, Gillian Marshall, Jan Tombs, Alan F. Murray:
Real-Time Autonomous Robot Navigation Using VLSI Neural Networks.
422-428
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- Dean Pomerleau:
Rapidly Adapting Artificial Neural Networks for Autonomous Navigation.
429-435
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- Masazumi Katayama, Mitsuo Kawato:
Learning Trajectory and Force Control of an Artificial Muscle Arm.
436-442
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- Robert C. Frye, Kevin D. Cummings, Edward A. Rietman:
Proximity Effect Corrections in Electron Beam Lithography.
443-449
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- Sebastian Thrun, Knut Möller, Alexander Linden:
Planning with an Adaptive World Model.
450-456
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- Jonathan Bachrach:
A Connectionist Learning Control Architecture for Navigation.
457-463
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- Peter Dayan:
Navigating Through Temporal Difference.
464-470
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- Richard S. Sutton:
Integrated Modeling and Control Based on Reinforcement Learning.
471-478
Electronic Edition (link) BibTeX
- Aloke Guha:
A Reinforcement Learning Variant for Control Scheduling.
479-485
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- Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal:
Adaptive Range Coding.
486-492
Electronic Edition (link) BibTeX
- Rodolfo A. Milito, Isabelle Guyon, Sara A. Solla:
Neural Network Implementation of Admission Control.
493-499
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- Jürgen Schmidhuber:
Reinforcement Learning in Markovian and Non-Markovian Environments.
500-506
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- Randall D. Beer, G. J. Kacmarcik, Roy E. Ritzmann, Hillel J. Chiel:
A Model of Distributed Sensorimotor Control in the Cockroach Escape Turn.
507-513
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- William E. Faller, Marvin W. Luttges:
Flight Control in the Dragonfly: A Neurobiological Simulation.
514-520
Electronic Edition (link) BibTeX
Part 9:
Applications
- Henrik Fredholm, Henrik Bohr, Jakob Bohr, Søren Brunak, Rodney M. J. Cotterill, Benny Lautrup, Steffen B. Petersen:
A Novel Approach to Prediction of the 3-Dimensional Structures.
523-529
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- Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik:
Training Knowledge-Based Neural Networks to Recognize Genes.
530-536
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- Kenneth A. Marko:
Neural Network Application to Diagnostics.
537-543
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- John L. Perry, Douglas R. Baumgardt:
Lg Depth Estimation and Ripple Fire Characterization.
544-550
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- Joseph E. Collard:
A B-P ANN Commodity Trader.
551-556
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- James D. Keeler, David E. Rumelhart, Wee Kheng Leow:
Integrated Segmentation and Recognition of Hand-Printed Numerals.
557-563
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- Garrison W. Cottrell, Janet Metcalfe:
EMPATH: Face, Emotion, and Gender Recognition Using Holons.
564-571
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- Beatrice A. Golomb, David T. Lawrence, Terrence J. Sejnowski:
SEXNET: A Neural Network Identifies Sex From Human Faces.
572-579
Electronic Edition (link) BibTeX
- Yoichi Hayashi:
A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules.
578-584
Electronic Edition (link) BibTeX
- Ruth Erlanson, Yaser S. Abu-Mostafa:
Analog Neural Networks as Decoders.
585-588
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Part 10:
Language and Cognition
- Geraldine Legendre, Yoshiro Miyata, Paul Smolensky:
Distributed Recursive Structure Processing.
591-597
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- Paul W. Munro, Mary Tabasko:
Translating Locative Prepositions.
598-604
Electronic Edition (link) BibTeX
- Michael Gasser, Chan-Do Lee:
A Short-Term Memory Architecture for the Learning of Morphophonemic Rules.
605-611
Electronic Edition (link) BibTeX
- David S. Touretzky, Deirdre W. Wheeler:
Exploiting Syllable Structure in a Connectionist Phonology Model.
612-618
Electronic Edition (link) BibTeX
- Jordan B. Pollack:
Language Induction by Phase Transition in Dynamical Recognizers.
619-626
Electronic Edition (link) BibTeX
- Michael Mozer:
Discovering Discrete Distributed Representations.
627-634
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- Janet Wiles, Michael S. Humphreys, John D. Bain, Simon Dennis:
Direct Memory Access Using Two Cues.
635-641
Electronic Edition (link) BibTeX
- Eytan Ruppin, Yehezkel Yeshurun:
An Attractor Neural Network Model of Recall and Recognition.
642-648
Electronic Edition (link) BibTeX
- John K. Kruschke:
ALCOVE: A Connectionist Model of Human Category Learning.
649-655
Electronic Edition (link) BibTeX
- Stephen Jose Hanson, Mark A. Gluck:
Spherical Units as Dynamic Consequential Regions.
656-664
Electronic Edition (link) BibTeX
- Roger N. Shepard, Sheila Kannappan:
Connectionist Implementation of a Theory of Generalization.
665-671
Electronic Edition (link) BibTeX
Part 11:
Local Basis Funtions
- Jerome H. Friedman:
Adaptive Spline Networks.
675-683
Electronic Edition (link) BibTeX
- Stephen Lane, Marshall Flax, David Handelman, Jack Gelfand:
Multi-Layer Perceptrons with B-Spline Receptive Field Functions.
684-692
Electronic Edition (link) BibTeX
- Stephen M. Omohundro:
Bumptrees for Efficient Function, Constraint and Classification Learning.
693-699
Electronic Edition (link) BibTeX
- Terence D. Sanger:
Basis-Function Trees as a Generalization of Local Variable Selection Methods.
700-706
Electronic Edition (link) BibTeX
- Sherif M. Botros, Christopher G. Atkeson:
Generalization Properties of Radial Basis Functions.
707-713
Electronic Edition (link) BibTeX
- John C. Platt:
Leaning by Combining Memorization and Gradient Descent.
714-720
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- Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside:
Sequential Adaptation of Radial Basis Function Networks.
721-727
Electronic Edition (link) BibTeX
- Avijit Saha, Jim Christian, Dun-Sung Tang, Chuan-lin Wu:
Oriented Non-Radial Basis Functions for Image Coding and Analysis.
728-734
Electronic Edition (link) BibTeX
- Pierre Baldi:
Computing with Arrays of Bell-Shaped and Sigmoid Functions.
735-742
Electronic Edition (link) BibTeX
- Y. C. Pati, P. S. Krishnaprasad:
Discrete Affine Wavelet Transforms.
743-749
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- Federico Girosi, Tomaso Poggio, Bruno Caprile:
Extensions of a Theory of Networks for Approximation and Learning.
750-756
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- Bartlett W. Mel, Stephen M. Omohundro:
How Receptive Field Parameters Affect Neural Learning.
757-763
Electronic Edition (link) BibTeX
Part 12:
Learning Systems
- Robert A. Jacobs, Michael I. Jordan:
A Competitive Modular Connectionist Architecture.
767-773
Electronic Edition (link) BibTeX
- Steven J. Nowlan, Geoffrey E. Hinton:
Evaluation of Adaptive Mixtures of Competing Experts.
774-780
Electronic Edition (link) BibTeX
- Léon Bottou, Patrick Gallinari:
A Framework for the Cooperation of Learning Algorithms.
781-788
Electronic Edition (link) BibTeX
- Michael Mozer, Todd Soukup:
Connectionist Music Composition Based on Melodic and Stylistic Constraints.
789-796
Electronic Edition (link) BibTeX
- Eric I. Chang, Richard Lippmann:
Using Genetic Algorithms to Improve Pattern Classification Performance.
797-803
Electronic Edition (link) BibTeX
- Ron Keesing, David G. Stork:
Evolution and Learning in Neural Networks.
804-810
Electronic Edition (link) BibTeX
- Terrence Fine:
Designing Linear Threshold Based Neural Network Pattern Classifiers.
811-817
Electronic Edition (link) BibTeX
- Padhraic Smyth:
On Stochastic Complexity and Admissible Models for Neural Network Classifiers.
818-824
Electronic Edition (link) BibTeX
- Ajay Gupta, Wolfgang Maass:
Efficient Design of Boltzmann Machines.
825-831
Electronic Edition (link) BibTeX
- Christian Darken, John E. Moody:
Note on Learning Rate Schedules for Stochastic Optimization.
832-838
Electronic Edition (link) BibTeX
- John S. Baras, Anthony LaVigna:
Convergence of a Neural Network Classifier.
839-845
Electronic Edition (link) BibTeX
- Griff L. Bilbro, David E. van den Bout:
Learning Theory and Experiments with Competitive Networks.
846-852
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- John S. Denker, Yann LeCun:
Transforming Neural-Net Output Levels to Probability Distributions.
853-859
Electronic Edition (link) BibTeX
- John F. Kolen, Jordan B. Pollack:
Back Propagation is Sensitive to Initial Conditions.
860-867
Electronic Edition (link) BibTeX
- Michael L. Rossen:
Closed-Form Inversion of Backpropagation Networks.
868-872
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Part 13:
Learning and Generalization
- Andreas S. Weigend, David E. Rumelhart, Bernardo A. Huberman:
Generalization by Weight-Elimination with Application to Forecasting.
875-882
Electronic Edition (link) BibTeX
- Sanjay Biswas, Santosh S. Venkatesh:
The Devil and the Network.
883-889
Electronic Edition (link) BibTeX
- Yves Chauvin:
Generalization Dynamics in LMS Trained Linear Networks.
890-896
Electronic Edition (link) BibTeX
- Anders Krogh, John A. Hertz:
Dynamics of Generalization in Linear Perceptrons.
897-903
Electronic Edition (link) BibTeX
- Eric B. Baum, Kevin J. Lang:
Constructing Hidden Units Using Examples and Queries.
904-910
Electronic Edition (link) BibTeX
- David A. Cohn, Gerald Tesauro:
Can Neural Networks Do Better Than the Vapnik-Chervonenkis Bounds?
911-917
Electronic Edition (link) BibTeX
- Yann LeCun, Ido Kanter, Sara A. Solla:
Second Order Properties of Error Surfaces.
918-924
Electronic Edition (link) BibTeX
- Barak A. Pearlmutter, Ronald Rosenfeld:
Chaitin-Kolmogorov Complexity and Generalization in Neural Networks.
925-931
Electronic Edition (link) BibTeX
- Robert R. Snapp, Demetri Psaltis, Santosh S. Venkatesh:
Asymptotic Slowing Down of the Nearest-Neighbor Classifier.
932-938
Electronic Edition (link) BibTeX
- Eduardo D. Sontag:
Remarks on Interpolation and Recognition Using Neural Nets.
939-945
Electronic Edition (link) BibTeX
- Robert C. Williamson:
epsilon-Entropy and the Complexity of Feedforward Neural Networks.
946-952
Electronic Edition (link) BibTeX
- Vwani P. Roychowdhury, Alon Orlitsky, Kai-Yeung Siu, Thomas Kailath:
On the Circuit Complexity of Neural Networks.
953-959
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Part 14:
Performance Comparisons
Part 15:
VLSI
- Mark A. Holler:
VLSI Implementations of Learning and Memory Systems.
993-1000
Electronic Edition (link) BibTeX
- A. Kramer, C. K. Sin, R. Chu, P. K. Ko:
Compact EEPROM-based Weight Functions.
1001-1007
Electronic Edition (link) BibTeX
- Daniel B. Schwartz, Vijay K. Samalam:
An Analog VLSI Splining Network.
1008-1014
Electronic Edition (link) BibTeX
- Joshua Alspector, Robert B. Allen, Anthony Jayakumar, Torsten Zeppelfeld, Ronny Meir:
Relaxation Networks for Large Supervised Learning Problems.
1015-1021
Electronic Edition (link) BibTeX
- W. Thomas Miller III, Brian A. Box, Erich C. Whitney, James M. Glynn:
Design and Implementation of a High Speed CMAC Neural Network.
1022-1027
Electronic Edition (link) BibTeX
- Hal McCartor:
Back Propagation Implementation.
1028-1031
Electronic Edition (link) BibTeX
- Hans Peter Graf, R. Janow, Donnie Henderson, R. Lee:
Reconfigurable Neural Net Chip with 32K Connections.
1032-1038
Electronic Edition (link) BibTeX
- Michael L. Chuang, Alice M. Chiang:
Simulation of the Neocognitron on a CCD Parallel Processing Architecture.
1039-1045
Electronic Edition (link) BibTeX
- Matt Melton, Tan Phan, Douglas S. Reeves, David E. van den Bout:
VLSI Implementation of TInMANN.
1046-1052
Electronic Edition (link) BibTeX
Copyright © Sat May 16 23:31:29 2009
by Michael Ley (ley@uni-trier.de)
