Artificial Neural Networks - ICANN 96: 6th International Conference, Bochum, Germany, July 16 - 19, 1996. Proceedings

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Christoph von der Malsburg
Springer Science & Business Media, Jul 10, 1996 - Computers - 922 pages
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This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996.
The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.
 

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Contents

Application of Artificial Neural Networks in Particle Physics
1
Evolutionary Computation History Status and Perspectives
15
Temporal Structure of Cortical Activity
16
SEE1 A Vision System for Use in Real World Environments
17
Towards Integration of Nerve Cells and Silicon Devices
18
Unifying Perspectives on Neuronal Codes and Processing
19
Analysis of Pattern Configuration and Generalisation across Viewing Conditions without Mental Rotation
20
A Novel Encoding Strategy for Associative Memory
21
Temporal Compositional Processing by a DSOM Hierarchical Model
457
A Genetic Model and the Hopfield Networks
463
Desaturating Coefficient for Projection Learning Rule
469
Getting More Information out of SDM
477
Using a General Purpose Meta Neural Network to Adapt a Parameter of the Quickpropagation Learning Rule
483
Unsupervised Learning of the Minor Subspace
489
The GANNFL Approach
495
Active Learning of the Generalized HighLowGame
501

Autoassociative Memory with high Storage Capacity
29
Information Efficiency of the Associative Net at Arbitrary Coding Rates
35
Efficient Learning in Sparsely Connected Boltzmann Machines
41
Incorporating Invariances in Support Vector Learning Machines
47
Estimating the Reliability of Neural Network Classifications
53
Bayesian Inference of Noise Levels in Regression
59
Complexity Reduction in Probabilistic Neural Networks
65
Asymptotic Complexity of an RBF NN for Correlated Data Representation
71
Regularization by Early Stopping in Single Layer Perceptron Training
77
Clustering in Weight Space of Feedforward Nets
83
Learning Curves of Online and Offline Training
89
Learning Structure with ManyTakeAll Networks
95
Dynamic Feature Linking in Stochastic Networks with Short Range Interactions
101
Collective Dynamics of a System of Adaptive Velocity Channels
107
Local Linear Model Trees for OnLine Identification of TimeVariant Nonlinear Dynamic Systems
115
A CumulantSurrogate Method
121
Prediction of Mixtures
127
Learning Dynamical Systems Produced by Recurrent Neural Networks
133
Purely Local Neural Principal Component and Independent Component Learning
139
How Fast Can Neuronal Algorithms Match Patterns?
145
An Annealed Neural Gas Network for Robust Vector Quantization
151
Associative Completion and Investment Learning Using PSOMs
157
A Principled Alternative to the SelfOrganizing Map
165
Creating Term Associations Using a Hierarchical ART Architecture
171
Architecture Selection Through Statistical Sensitivity Analysis
179
Application on Real Data
185
Signal Processing by Neural Networks to Create Virtual Sensors and ModelBased Diagnostics
191
Development of an Advisory System Based on a Neural Network for the Operation of a Coal Fired Power Plant
197
Blast Furnace Analysis with Neural Networks
203
Diagnosis Tools for Telecommunication Network Traffic Management
209
Adaptive Saccade Control of a Binocular Head with Dynamic Cell Structures
215
Learning Fine Motion by Using the Hierarchical Extended Kohonen Map
221
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification
227
A Dual Route Neural Net Approach to GraphemetoPhoneme Conversion
233
Separating EEG SpikeClusters in Epilepsy by a Growing and Splitting Net
239
Optimal Texture Feature Selection for the Cooccurrence Map
245
Comparison of ViewBased Object Recognition Algorithms Using Realistic 3D Models
251
ColorCalibration of a Robot Vision System Using SelfOrganizing Feature Maps
257
Neural Network Model for Maximum Ozone Concentration Prediction
263
Very Large TwoLevel SOM for the Browsing of Newsgroups
269
Automatic PartOfSpeech Tagging of Thai Corpus Using Neural Networks
275
Reproducing a Subjective Classification Scheme for Atmospheric Circulation Patterns over the United Kingdom using a Neural Network
281
Two Gradient Descent Algorithms for Blind Signal Separation
287
Classification Rejection by Prediction
293
Application of Radial Basis Function Neural Networks to Odour Sensing Using a Broad Specificity Array of Conducting Polymers
299
A Hybrid Object Recognition Architecture
305
Robot Learning in Analog Neural Hardware
311
Visual Gesture Recognition by a Modular Neural System
317
Tracking and Learning Graphs on Image Sequences of Faces
323
Neural Network Model Recalling Spatial Maps
329
Neural Field Dynamics for Motion Perception
335
Analytical Technique for Deriving Connectionist Representations of Symbol Structures
341
Modeling Human Word Recognition with Sequences of Artificial Neurons
347
A Connectionist Variation on Inheritance
353
Mapping of Multilayer Perceptron Networks to Partial Tree Shape Parallel Neurocomputer
359
Linearly Expandable Partial Tree Shape Architecture for Parallel Neurocomputer
365
A HighSpeed Scalable CMOS CurrentMode WinnerTakeAll Network
371
An Architectural Study of a Massively Parallel Processor for ConvolutionType Operations in Complex Vision Tasks
377
FPGA Implementation of an Adapt ableSize Neural Network
383
Extraction of Coherent Information from NonOverlapping Receptive Fields
389
CorticoTectal Interactions in the Cat Visual System
395
A Bayesian Approach
401
Analyzing the Formation of Structure in HighDimensional SelfOrganizing Maps Reveals Differences to Feature Map Models
409
Maps Explained by Hebbian Dynamics of Geniculocortical Connections
415
Modification of Kohonens SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns
421
Cortical Map Development Driven by Spontaneous Retinal Activity Waves
427
Simplifying neural networks for controlling walking by exploiting physical properties
433
TwoDimensional Neural Field Model
439
Plasticity of Neocortical Synapses Enables Transitions Between Rate and Temporal Coding
445
Controlling the Speed of Synfire Chains
451
Optimality of Pocket Algorithm
507
Improvements and Extensions to the Constructive Algorithm CARVE
513
Annealed RNN Learning of Finite State Automata
519
A Hierarchical Learning Rule for Independent Component Analysis
525
Improving Neural Network Training Based on Jacobian Rank Deficiency
531
Neural Networks for Exact Constrained Optimization
537
Capacity of Structured Multilayer Networks with Shared Weights
543
Optimal Weight Decay in a Perceptron
551
Bayesian Regularization in Constructive Neural Networks
557
A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction
563
A Modified Spreading Algorithm for Autoassociation in Weightless Neural Networks
569
Analysis of MultiFluorescence Signals Using a Modified SelfOrganizing Feature Map
575
Visualizing Similarities in High Dimensional Input Spaces with a Growing and Splitting Neural Network
581
A Neural Lexical PostProcessor for Improved Neural Predictive Word Recognition
587
A Comparative Study Using Neural Networks
593
Combining Statistical Models for Protein Secondary Structure Prediction
599
Using RBFNets in Rubber Industry Process Control
605
Towards Autonomous Robot Control via SelfAdapting Recurrent Networks
611
A Hierarchical Network for Learning Robust Models of Kinematic Chains
617
ContextBased Cognitive Map Learning for an Autonomous Robot Using a Model of CorticoHippocampal Interplay
623
An Algorithm for Bootstrapping the Core of a Biologically Inspired Motor Control System
629
An Industrial Prototype
635
Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model
641
Representing Multidimensional Stimuli on the Cortex
649
An Analysis and Interpretation of the Oscillatory Behaviour of a Model of the Granular Layer of the Cerebellum
655
The Cerebellum as a Coupling Machine
661
A Computational Model
667
Signatures of Dynamic Cell Assemblies in Monkey Motor Cortex
673
Modelling Speech Processing and Recognition in the Auditory System with a ThreeStage Architecture
679
BindingA Proposed Experiment and a Model
685
A Reduced Model for Dendritic Trees with Active Membrane
691
Stabilizing Competitive Learning during Online Training with an AntiHebbian Weight Modulation
697
Neurobiological Bases for Spatiotemporal Data Coding in Artificial Neural Networks
703
A SpatioTemporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 Network
709
Learning Novel Views to a Single Face Image
715
A Parallel Algorithm for Depth Perception from Radial Optical Flow Fields
721
A Case Study on PHANTOMAS
727
Geometrically Constrained Optical Flow Estimation by an Hopfield Neural Network
735
Serial Binary Addition with Polynomially Bounded Weights
741
Evaluation of the Two Different Interconnection Networks of the CNAPS Neurocomputer
747
Intrinsic and Parallel Performances of the OWE Neural Network Architecture
755
Multilevel Weight Storage
761
Exponential Hebbian OnLine Learning Implemented in FPGAs
767
An InformationTheoretic Measure for the Classification of Time Series
773
Transformation of Neural Oscillators
779
Analysis of Drifting Dynamics with Competing Predictors
785
Consequences for Neurocontrollers
791
A Local Connected Neural Oscillator Network for Pattern Segmentation
797
Approximation Errors of State and Output Trajectories Using Recurrent Neural Networks
803
Comparing SelfOrganizing Maps
809
Nonlinear Independent Component Analysis by SelfOrganizing Maps
815
Building Nonlinear Data Models with SelfOrganizing Maps
821
A ParameterFree NonGrowing SelfOrganizing Map Based upon Gravitational Principles Algorithm and Applications
827
Topological Maps for Mixture Densities
833
A Novel Algorithm for Image Segmentation Using Time Dependent Interaction Probabilities
839
Reconstruction from graphs labeled with responses of Gabor filters
845
A Confidence Based Algorithm Emphazising Continuous Curves
851
Neural Model of Cortical Dynamics in Resonant Boundary Detection and Grouping
857
A Neural Clustering Algorithm for Estimating Visible Articulatory Trajectory
863
Binary SpatterCoding of Ordered Atuples
869
A Hybrid Approach to Natural Language Parsing
875
A SelfOrganizing Neural Network Approach for the Acquisition of Phonetic Categories
881
A Step Towards LongTerm Memory
887
Neural Modelling of Cognitive Disinhibition and Neurotransmitter Dysfunction in OCD
893
Confluent Preorder Parser As Finite State Automata
899
Modeling Psychological Stereotypes in SelfOrganizing Maps
905
Author Index
911
Affiliation Index
915
Subject Index
917
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