Artificial Neural Networks - ICANN 2001

Table of Contents

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   Book Overview
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   Chapter 1 The Complementary Brain (Abstract)
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   Chapter 2 Neural Networks for Adaptive Processing of Structured Data
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   Chapter 3 Bad Design and Good Performance: Strategies of the Visual System for Enhanced Scene Analysis
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   Chapter 4 Fast Curvature Matrix-Vector Products
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   Chapter 5 Architecture Selection in NLDA Networks
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   Chapter 6 Neural Learning Invariant to Network Size Changes
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   Chapter 7 Boosting Mixture Models for Semi-supervised Learning
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   Chapter 8 Bagging Can Stabilize without Reducing Variance
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    Chapter 9 Symbolic Prosody Modeling by Causal Retro-causal NNs with Variable Context Length
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    Chapter 10 Discriminative Dimensionality Reduction Based on Generalized LVQ
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    Chapter 11 A Computational Intelligence Approach to Optimization with Unknown Objective Functions
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    Chapter 12 Clustering Gene Expression Data by Mutual Information with Gene Function
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    Chapter 13 Learning to Learn Using Gradient Descent
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    Chapter 14 A Variational Approach to Robust Regression
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    Chapter 15 Minimum-Entropy Data Clustering Using Reversible Jump Markov Chain Monte Carlo
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    Chapter 16 Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering
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    Chapter 17 Direct Estimation of Polynomial Densities in Generalized RBF Networks Using Moments
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    Chapter 18 Generalisation Improvement of Radial Basis Function Networks Based on Qualitative Input Conditioning for Financial Credit Risk Prediction
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    Chapter 19 Approximation of Bayesian Discriminant Function by Neural Networks in Terms of Kullback-Leibler Information
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    Chapter 20 The Bias-Variance Dilemma of the Monte Carlo Method
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    Chapter 21 A Markov Chain Monte Carlo Algorithm for the Quadratic Assignment Problem Based on Replicator Equations
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    Chapter 22 Mapping Correlation Matrix Memory Applications onto a Beowulf Cluster
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    Chapter 23 Accelerating RBF Network Simulation by Using Multimedia Extensions of Modern Microprocessors
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    Chapter 24 A Game-Theoretic Adaptive Categorization Mechanism for ART-Type Networks
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    Chapter 25 Gaussian Radial Basis Functions and Inner-Product Spaces
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    Chapter 26 Mixture of Probabilistic Factor Analysis Model and Its Applications
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    Chapter 27 Deferring the Learning for Better Generalization in Radial Basis Neural Networks
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    Chapter 28 Improvement of Cluster Detection and Labeling Neural Network by Introducing Elliptical Basis Function
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    Chapter 29 Independent Variable Group Analysis
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    Chapter 30 Weight Quantization for Multi-layer Perceptrons Using Soft Weight Sharing
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    Chapter 31 Voting-Merging: An Ensemble Method for Clustering
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    Chapter 32 The Application of Fuzzy ARTMAP in the Detection of Computer Network Attacks
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    Chapter 33 Transductive Learning: Learning Iris Data with Two Labeled Data
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    Chapter 34 Approximation of Time-Varying Functions with Local Regression Models
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    Chapter 35 Complexity of Learning for Networks of Spiking Neurons with Nonlinear Synaptic Interactions
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    Chapter 36 Product Unit Neural Networks with Constant Depth and Superlinear VC Dimension
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    Chapter 37 Generalization Performances of Perceptrons
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    Chapter 38 Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms
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    Chapter 39 Learning Curves for Gaussian Processes Models: Fluctuations and Universality
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    Chapter 40 Tight Bounds on Rates of Neural-Network Approximation
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    Chapter 41 Scalable Kernel Systems
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    Chapter 42 On-Line Learning Methods for Gaussian Processes
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    Chapter 43 Online Approximations for Wind-Field Models
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    Chapter 44 Fast Training of Support Vector Machines by Extracting Boundary Data
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    Chapter 45 Multiclass Classification with Pairwise Coupled Neural Networks or Support Vector Machines
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    Chapter 46 Incremental Support Vector Machine Learning: A Local Approach
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    Chapter 47 Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
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    Chapter 48 Sparse Kernel Regressors
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    Chapter 49 Learning on Graphs in the Game of Go
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    Chapter 50 Nonlinear Feature Extraction Using Generalized Canonical Correlation Analysis
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    Chapter 51 Gaussian Process Approach to Stochastic Spiking Neurons with Reset
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    Chapter 52 Kernel Based Image Classification
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    Chapter 53 Gaussian Processes for Model Fusion
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    Chapter 54 Kernel Canonical Correlation Analysis and Least Squares Support Vector Machines
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    Chapter 55 Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
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    Chapter 56 Close-Class-Set Discrimination Method for Recognition of Stop_Consonant-Vowel Utterances Using Support Vector Machines
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    Chapter 57 Linear Dependency between ε and the Input Noise in ε-Support Vector Regression
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    Chapter 58 The Bayesian Committee Support Vector Machine
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    Chapter 59 Using Directional Curvatures to Visualize Folding Patterns of the GTM Projection Manifolds
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    Chapter 60 Self Organizing Map and Sammon Mapping for Asymmetric Proximities
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    Chapter 61 Active Learning with Adaptive Grids
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    Chapter 62 Complex Process Visualization through Continuous Feature Maps Using Radial Basis Functions
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    Chapter 63 A Soft k-Segments Algorithm for Principal Curves
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    Chapter 64 Product Positioning Using Principles from the Self-Organizing Map
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    Chapter 65 Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data
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    Chapter 66 Histogram Based Color Reduction through Self-Organized Neural Networks
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    Chapter 67 Sequential Learning for SOM Associative Memory with Map Reconstruction
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    Chapter 68 Neighborhood Preservation in Nonlinear Projection Methods: An Experimental Study
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    Chapter 69 A Topological Hierarchical Clustering: Application to Ocean Color Classification
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    Chapter 70 Hierarchical Clustering of Document Archives with the Growing Hierarchical Self-Organizing Map
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    Chapter 71 Blind Source Separation of Single Components from Linear Mixtures
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    Chapter 72 Blind Source Separation Using Principal Component Neural Networks
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    Chapter 73 Blind Separation of Sources by Differentiating the Output Cumulants and Using Newton’s Method
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    Chapter 74 Mixtures of Independent Component Analysers
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    Chapter 75 Conditionally Independent Component Extraction for Naive Bayes Inference
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    Chapter 76 Fast Score Function Estimation with Application in ICA
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    Chapter 77 Health Monitoring with Learning Methods
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    Chapter 78 Breast Tissue Classification in Mammograms Using ICA Mixture Models
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    Chapter 79 Neural Network Based Blind Source Separation of Non-linear Mixtures
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    Chapter 80 Feature Extraction Using ICA
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    Chapter 81 Continuous Speech Recognition with a Robust Connectionist/Markovian Hybrid Model
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    Chapter 82 Faster Convergence and Improved Performance in Least-Squares Training of Neural Networks for Active Sound Cancellation
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    Chapter 83 Bayesian Independent Component Analysis as Applied to One-Channel Speech Enhancement
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    Chapter 84 Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks
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    Chapter 85 Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component
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    Chapter 86 A Probabilistic Approach to High-Resolution Sleep Analysis
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    Chapter 87 Comparison of Wavelet Thresholding Methods for Denoising ECG Signals
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    Chapter 88 Evoked Potential Signal Estimation Using Gaussian Radial Basis Function Network
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    Chapter 89 ‘Virtual Keyboard’ Controlled by Spontaneous EEG Activity
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    Chapter 90 Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
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    Chapter 91 Nonlinear Signal Processing for Noise Reduction of Unaveraged Single Channel MEG Data
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    Chapter 92 A Discrete Probabilistic Memory Model for Discovering Dependencies in Time
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    Chapter 93 Applying LSTM to Time Series Predictable through Time-Window Approaches
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    Chapter 94 Generalized Relevance LVQ for Time Series
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    Chapter 95 Unsupervised Learning in LSTM Recurrent Neural Networks
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    Chapter 96 Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances
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    Chapter 97 Neural Networks in Circuit Simulators
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    Chapter 98 Neural Networks Ensemble for Cyclosporine Concentration Monitoring
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     Chapter 99 Efficient Hybrid Neural Network for Chaotic Time Series Prediction
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     Chapter 100 Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
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     Chapter 101 Prediction Systems Based on FIR BP Neural Networks
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     Chapter 102 On the Generalization Ability of Recurrent Networks
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     Chapter 103 Finite-State Reber Automaton and the Recurrent Neural Networks Trained in Supervised and Unsupervised Manner
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     Chapter 104 Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks
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     Chapter 105 Fusion Architectures for the Classification of Time Series
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     Chapter 106 The Importance of Representing Cognitive Processes in Multi-agent Models
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     Chapter 107 Multi-agent FX-Market Modeling Based on Cognitive Systems
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     Chapter 108 Speculative Dynamics in a Heterogeneous-Agent Model
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     Chapter 109 Nonlinear Adaptive Beliefs and the Dynamics of Financial Markets: The Role of the Evolutionary Fitness Measure
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     Chapter 110 Analyzing Purchase Data by a Neural Net Extension of the Multinomial Logit Model
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     Chapter 111 Using Maximal Recurrence in Linear Threshold Competitive Layer Networks
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     Chapter 112 Exponential Transients in Continuous-Time Symmetric Hopfield Nets
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     Chapter 113 Initial Evolution Results on CAM-Brain Machines (CBMs)
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     Chapter 114 Self-Organizing Topology Evolution of Turing Neural Networks
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     Chapter 115 Efficient Pattern Discrimination with Inhibitory WTA Nets
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     Chapter 116 Cooperative Information Control to Coordinate Competition and Cooperation
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     Chapter 117 Qualitative Analysis of Continuous Complex-Valued Associative Memories
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     Chapter 118 Self Organized Partitioning of Chaotic Attractors for Control
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     Chapter 119 A Generalisable Measure of Self-Organisation and Emergence
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     Chapter 120 Market-Based Reinforcement Learning in Partially Observable Worlds
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     Chapter 121 Sequential Strategy for Learning Multi-stage Multi-agent Collaborative Games
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     Chapter 122 Neural Architecture for Mental Imaging of Sequences Based on Optical Flow Predictions
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     Chapter 123 Visual Checking of Grasping Positions of a Three-Fingered Robot Hand
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     Chapter 124 Anticipation-Based Control Architecture for a Mobile Robot
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     Chapter 125 Neural Adaptive Force Control for Compliant Robots
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     Chapter 126 A Design of Neural-Net Based Self-Tuning PID Controllers
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     Chapter 127 Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network
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     Chapter 128 Adaptive Neural Control of Nonlinear Systems
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     Chapter 129 A Hierarchical Method for Training Embedded Sigmoidal Neural Networks
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     Chapter 130 Towards Learning Path Planning for Solving Complex Robot Tasks
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     Chapter 131 Hammerstein Model Identification Using Radial Basis Functions Neural Networks
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     Chapter 132 Evolving Neural Behaviour Control for Autonomous Robots
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     Chapter 133 Construction by Autonomous Agents in a Simulated Environment
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     Chapter 134 A Neural Control Model Using Predictive Adjustment Mechanism of Viscoelastic Property of the Human Arm
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     Chapter 135 Multi-joint Arm Trajectory Formation Based on the Minimization Principle Using the Euler-Poisson Equation
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     Chapter 136 Neocognitron of a New Version: Handwritten Digit Recognition
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     Chapter 137 A Comparison of Classifiers for Real-Time Eye Detection
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     Chapter 138 Neural Network Analysis of Dynamic Contrast-Enhanced MRI Mammography
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     Chapter 139 A New Adaptive Color Quantization Technique
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     Chapter 140 Tunable Oscillatory Network for Visual Image Segmentation
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     Chapter 141 Detecting Shot Transitions for Video Indexing with FAM
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     Chapter 142 Finding Faces in Cluttered Still Images with Few Examples
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     Chapter 143 Description of Dynamic Structured Scenes by a SOM/ARSOM Hierarchy
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     Chapter 144 Evaluation of Distance Measures for Partial Image Retrieval Using Self-Organizing Map
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     Chapter 145 Video Sequence Boundary Detection Using Neural Gas Networks
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     Chapter 146 A Neural-Network-Based Approach to Adaptive Human Computer Interaction
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     Chapter 147 Adaptable Neural Networks for Unsupervised Video Object Segmentation of Stereoscopic Sequences
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     Chapter 148 A Model of Border-Ownership Coding in Early Vision
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     Chapter 149 Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
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     Chapter 150 Neural Coding of Dynamic Stimuli
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     Chapter 151 Resonance of a Stochastic Spiking Neuron Mimicking the Hodgkin-Huxley Model
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     Chapter 152 Spike and Burst Synchronization in a Detailed Cortical Network Model with I-F Neurons
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     Chapter 153 Artificial Neural Networks — ICANN 2001
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     Chapter 154 Controlling Oscillatory Behaviour of a Two Neuron Recurrent Neural Network Using Inputs
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     Chapter 155 Temporal Hebbian Learning in Rate-Coded Neural Networks: A Theoretical Approach towards Classical Conditioning
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     Chapter 156 A Mathematical Analysis of a Correlation Based Model for the Orientation Map Formation
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     Chapter 157 Learning from Chaos: A Model of Dynamical Perception
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     Chapter 158 Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus
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     Chapter 159 A Model of Horizontal 360° Object Localization Based on Binaural Hearing and Monocular Vision
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     Chapter 160 Self-Organization of Orientation Maps, Lateral Connections, and Dynamic Receptive Fields in the Primary Visual Cortex
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     Chapter 161 Markov Chain Model Approximating the Hodgkin-Huxley Neuron
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     Chapter 162 A Neural Oscillator Model of Auditory Attention
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     Chapter 163 Coupled Neural Maps for the Origins of Vowel Systems
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     Chapter 164 Learning for Text Summarization Using Labeled and Unlabeled Sentences
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     Chapter 165 On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
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     Chapter 166 Instance-Based Method to Extract Rules from Neural Networks
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     Chapter 167 A Novel Binary Spell Checker
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     Chapter 168 Neural Nets for Short Movements in Natural Language Processing
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     Chapter 169 Using Document Features to Optimize Web Cache
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     Chapter 170 Generation of Diversiform Characters Using a Computational Handwriting Model and a Genetic Algorithm
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     Chapter 171 Information Maximization and Language Acquisition
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     Chapter 172 A Mirror Neuron System for Syntax Acquisition
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     Chapter 173 A Network of Relaxation Oscillators that Finds Downbeats in Rhythms
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     Chapter 174 Knowledge Incorporation and Rule Extraction in Neural Networks