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Artificial Neural Networks — ICANN 2002

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Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data
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    Chapter 2 A Neural Model of Spatio Temporal Coordination in Prehension
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    Chapter 3 Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback
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    Chapter 4 Learning Multiple Feature Representations from Natural Image Sequences
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    Chapter 5 Analysis of Biologically Inspired Small-World Networks
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    Chapter 6 Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video
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    Chapter 7 Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks
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    Chapter 8 Artificial Neural Networks — ICANN 2002
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    Chapter 9 Storage Capacity of Kernel Associative Memories
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    Chapter 10 Macrocolumns as Decision Units
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    Chapter 11 Nonlinear Analysis of Simple Cell Tuning in Visual Cortex
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    Chapter 12 Clustering within Integrate-and-Fire Neurons for Image Segmentation
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    Chapter 13 Symmetry Detection Using Global-Locally Coupled Maps
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    Chapter 14 Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties
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    Chapter 15 Combining Multimodal Sensory Input for Spatial Learning
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    Chapter 16 A Neural Network Model Generating Invariance for Visual Distance
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    Chapter 17 Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG
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    Chapter 18 Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques
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    Chapter 19 Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays
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    Chapter 20 Artificial Neural Networks — ICANN 2002
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    Chapter 21 Reducing Communication for Distributed Learning in Neural Networks
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    Chapter 22 Flow Diagrams of the Quadratic Neural Network
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    Chapter 23 Dynamics of a Plastic Cortical Network
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    Chapter 24 Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron
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    Chapter 25 Small-World Effects in Lattice Stochastic Diffusion Search
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    Chapter 26 A Direction Sensitive Network Based on a Biophysical Neurone Model
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    Chapter 27 Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis
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    Chapter 28 Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis
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    Chapter 29 Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory
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    Chapter 30 Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations
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    Chapter 31 Does Morphology Influence Temporal Plasticity?
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    Chapter 32 Attractor Neural Networks with Hypercolumns
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    Chapter 33 Edge Detection and Motion Discrimination in the Cuneate Nucleus
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    Chapter 34 Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks
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    Chapter 35 Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons
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    Chapter 36 A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform
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    Chapter 37 Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input
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    Chapter 38 Iterative Population Decoding Based on Prior Beliefs
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    Chapter 39 When NMDA Receptor Conductances Increase Inter- spike Interval Variability
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    Chapter 40 Spike- Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity
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    Chapter 41 A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy
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    Chapter 42 On the Computational Power of Neural Microcircuit Models: Pointers to the Literature
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    Chapter 43 Networking with Cognitive Packets
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    Chapter 44 Episodic Memory: A Connectionist Interpretation
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    Chapter 45 Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach
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    Chapter 46 Associative Arithmetic with Boltzmann Machines: The Role of Number Representations
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    Chapter 47 Learning the Long-Term Structure of the Blues
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    Chapter 48 Recursive Neural Networks Applied to Discourse Representation Theory
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    Chapter 49 Recurrent Neural Learning for Helpdesk Call Routing
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    Chapter 50 An Approach to Encode Multilayer Perceptrons
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    Chapter 51 Dynamic Knowledge Representation in Connectionist Systems
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    Chapter 52 Generative Capacities of Cellular Automata Codification for Evolution of NN Codification
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    Chapter 53 Entropic Measures with Radial Basis Units
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    Chapter 54 New Methods for Splice Site Recognition
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    Chapter 55 A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks
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    Chapter 56 Identification of Wiener Model Using Radial Basis Functions Neural Networks
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    Chapter 57 A New Learning Algorithm for Mean Field Boltzmann Machines
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    Chapter 58 A Continuous Restricted Boltzmann Machine with a Hardware- Amenable Learning Algorithm
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    Chapter 59 Human Recognition by Gait Analysis Using Neural Networks
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    Chapter 60 Learning Vector Quantization for Multimodal Data
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    Chapter 61 Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities
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    Chapter 62 Model Clustering for Neural Network Ensembles
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    Chapter 63 Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms?
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    Chapter 64 Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network
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    Chapter 65 A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data
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    Chapter 66 Neural Minimax Classifiers
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    Chapter 67 Sampling Parameters to Estimate a Mixture Distribution with Unknown Size
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    Chapter 68 Selecting Neural Networks for Making a Committee Decision
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    Chapter 69 High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning
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    Chapter 70 Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling
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    Chapter 71 A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-fuzzy System for Online Handwriting Recognition
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    Chapter 72 A New Learning Method for Piecewise Linear Regression
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    Chapter 73 Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems
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    Chapter 74 Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems
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    Chapter 75 Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network
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    Chapter 76 MDL Based Model Selection for Relevance Vector Regression
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    Chapter 77 On the Training of a Kolmogorov Network
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    Chapter 78 A New Method of Feature Extraction and Its Stability
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    Chapter 79 Visualization and Analysis of Web Navigation Data
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    Chapter 80 Missing Value Estimation Using Mixture of PCAs
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    Chapter 81 High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas
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    Chapter 82 Heterogeneous Forests of Decision Trees
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    Chapter 83 Independent Component Analysis for Domain Independent Watermarking
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    Chapter 84 Applying Machine Learning to Solve an Estimation Problem in Software Inspections
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    Chapter 85 Clustering of Gene Expression Data by Mixture of PCA Models
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    Chapter 86 Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces
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    Chapter 87 A New Sequential Algorithm for Regression Problems by Using Mixture Distribution
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    Chapter 88 Neural-Based Classification of Blocks from Documents
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    Chapter 89 Feature Selection via Genetic Optimization
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    Chapter 90 Neural Networks, Clustering Techniques, and Function Approximation Problems
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    Chapter 91 Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
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    Chapter 92 Using Recurrent Neural Networks for Automatic Chromosome Classification
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    Chapter 93 A Mixed Ensemble Approach for the Semi-supervised Problem
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    Chapter 94 Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes
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    Chapter 95 Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error
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    Chapter 96 SSA, SVD, QR-cp, and RBF Model Reduction
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    Chapter 97 Linkage Analysis: A Bayesian Approach
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    Chapter 98 On Linear Separability of Sequences and Structures
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    Chapter 99 Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data
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    Chapter 100 EM-Based Radial Basis Function Training with Partial Information
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    Chapter 101 Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters
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    Chapter 102 Input and Output Feature Selection
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    Chapter 103 Optimal Extraction of Hidden Causes
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    Chapter 104 Towards a New Information Processing Measure for Neural Computation
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    Chapter 105 A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System
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    Chapter 106 Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
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    Chapter 107 Learning Context Sensitive Languages with LSTM Trained with Kalman Filters
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    Chapter 108 Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
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    Chapter 109 Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach
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    Chapter 110 Natural Gradient and Multiclass NLDA Networks
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    Chapter 111 A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines
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    Chapter 112 Selection of Meta-parameters for Support Vector Regression
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    Chapter 113 Kernel Matrix Completion by Semidefinite Programming
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    Chapter 114 Incremental Sparse Kernel Machine
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    Chapter 115 Frame Kernels for Learning
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    Chapter 116 Robust Cross-Validation Score Function for Non-linear Function Estimation
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    Chapter 117 Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models
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    Chapter 118 The Leave-One-Out Kernel
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    Chapter 119 Support Vector Representation of Multi-categorical Data
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    Chapter 120 Robust De-noising by Kernel PCA
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    Chapter 121 Maximum Contrast Classifiers
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    Chapter 122 Puncturing Multi-class Support Vector Machines
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    Chapter 123 Multi-dimensional Function Approximation and Regression Estimation
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    Chapter 124 Detecting the Number of Clusters Using a Support Vector Machine Approach
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    Chapter 125 Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling
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    Chapter 126 Reinforcement Learning for Biped Locomotion
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    Chapter 127 Dynamical Neural Schmitt Trigger for Robot Control
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    Chapter 128 Evolutionary Artificial Neural Networks for Quadruped Locomotion
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    Chapter 129 Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance
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    Chapter 130 A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems
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    Chapter 131 Tool Wear Prediction in Milling Using Neural Networks
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    Chapter 132 Speeding-up Reinforcement Learning with Multi-step Actions
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    Chapter 133 Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification
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    Chapter 134 Integration of Metric Place Relations in a Landmark Graph
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    Chapter 135 Hierarchical Object Classification for Autonomous Mobile Robots
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    Chapter 136 Self Pruning Gaussian Synapse Networks for Behavior Based Robots
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    Chapter 137 Second-Order Conditioning in Mobile Robots
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    Chapter 138 An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers
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    Chapter 139 Learning Inverse Kinematics via Cross-Point Function Decomposition
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    Chapter 140 The Principal Components Analysis Self-Organizing Map
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    Chapter 141 Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
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    Chapter 142 Rule Extraction from Self-Organizing Networks
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    Chapter 143 Predictive Self-Organizing Map for Vector Quantization of Migratory Signals
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    Chapter 144 Categorical Topological Map
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    Chapter 145 Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites
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    Chapter 146 Parametrized SOMs for Object Recognition and Pose Estimation
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    Chapter 147 An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map
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    Chapter 148 Coordinating Principal Component Analyzers
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    Chapter 149 Lateral Interactions in Self-Organizing Maps
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    Chapter 150 Complexity Selection of the Self-Organizing Map
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    Chapter 151 Nonlinear Projection with the Isotop Method
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    Chapter 152 Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map
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    Chapter 153 Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks
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    Chapter 154 Distance Matrix Based Clustering of the Self-Organizing Map
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    Chapter 155 Mapping the Growing Neural Gas to Situation Calculus
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    Chapter 156 Robust Unsupervised Competitive Neural Network by Local Competitive Signals
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    Chapter 157 Goal Sequencing for Construction Agents in a Simulated Environment
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    Chapter 158 Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map
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    Chapter 159 Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps
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    Chapter 160 A Pareto Self-Organizing Map
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    Chapter 161 A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval
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    Chapter 162 Learning More Accurate Metrics for Self-Organizing Maps
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    Chapter 163 Correlation Visualization of High Dimensional Data Using Topographic Maps
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    Chapter 164 Continuous Unsupervised Sleep Staging Based on a Single EEG Signal
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    Chapter 165 Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management
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    Chapter 166 On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model
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    Chapter 167 Error Functions for Prediction of Episodes of Poor Air Quality
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    Chapter 168 Adaptive Importance Sampling Technique for Neural Detector Training
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    Chapter 169 State Space Neural Networks for Freeway Travel Time Prediction
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    Chapter 170 Overcomplete ICA with a Geometric Algorithm
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    Chapter 171 Improving Long- Term Online Prediction with Decoupled Extended Kalman Filters
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    Chapter 172 Market Modeling Based on Cognitive Agents
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    Chapter 173 An Efficiently Focusing Large Vocabulary Language Model
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    Chapter 174 Neuro- classification of Bill Fatigue Levels Based on Acoustic Wavelet Components
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    Chapter 175 Robust Estimator for the Learning Process in Neural Networks Applied in Time Series
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    Chapter 176 An Improved Cumulant Based Method for Independent Component Analysis
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    Chapter 177 Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration
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    Chapter 178 Support Vector Robust Algorithms for Non- parametric Spectral Analysis
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    Chapter 179 Support Vector Method for ARMA System Identification: A Robust Cost Interpretation
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    Chapter 180 Dynamics of ICA for High- Dimensional Data
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    Chapter 181 Beyond Comon’s Identifiability Theorem for Independent Component Analysis
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    Chapter 182 Temporal Processing of Brain Activity for the Recognition of EEG Patterns
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    Chapter 183 Critical Assessment of Option Pricing Methods Using Artificial Neural Networks
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    Chapter 184 Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates
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    Chapter 185 Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks
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    Chapter 186 Convolutional Neural Networks for Radar Detection
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    Chapter 187 A Simple Generative Model for Single-Trial EEG Classification
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    Chapter 188 Robust Blind Source Separation Utilizing Second and Fourth Order Statistics
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    Chapter 189 Adaptive Differential Decorrelation: A Natural Gradient Algorithm
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    Chapter 190 An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services
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    Chapter 191 Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints
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    Chapter 192 Mixtures of Autoregressive Models for Financial Risk Analysis
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    Chapter 193 Kernel-Based 3D Object Representation
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    Chapter 194 Multiresolution Support for Adaptive Image Restoration Using Neural Networks
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    Chapter 195 Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons
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    Chapter 196 An Algorithm for Image Representation as Independent Levels of Resolution
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    Chapter 197 Circular Back-Propagation Networks for Measuring Displayed Image Quality
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    Chapter 198 Unsupervised Learning of Combination Features for Hierarchical Recognition Models
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    Chapter 199 Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration
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    Chapter 200 Using Neural Field Dynamics in the Context of Attentional Control
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    Chapter 201 A Component Association Architecture for Image Understanding
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    Chapter 202 Novelty Detection in Video Surveillance Using Hierarchical Neural Networks
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    Chapter 203 Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation
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    Chapter 204 Population Coding of Multiple Edge Orientation
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    Chapter 205 A Neural Model of the Fly Visual System Applied to Navigational Tasks
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    Chapter 206 A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention
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    Chapter 207 Automatic Fingerprint Verification Using Neural Networks
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    Chapter 208 Fusing Images with Multiple Focuses Using Support Vector Machines
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    Chapter 209 An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights
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    Chapter 210 Kohonen Maps Applied to Fast Image Vector Quantization
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    Chapter 211 Unsupervised - Neural Network Approach for Efficient Video Description
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    Chapter 212 Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences
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    Chapter 213 Learning Face Localization Using Hierarchical Recurrent Networks
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    Chapter 214 A Comparison of Face Detection Algorithms
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    Chapter 215 Adaptive Model Selection for Digital Linear Classifiers
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    Chapter 216 Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization
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    Chapter 217 Automatic Hyperparameter Tuning for Support Vector Machines
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    Chapter 218 Conjugate Directions for Stochastic Gradient Descent
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    Chapter 219 Architectural Bias in Recurrent Neural Networks — Fractal Analysis
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    Chapter 220 Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods
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    Chapter 221 Time-Scaling in Recurrent Neural Learning
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Title
Artificial Neural Networks — ICANN 2002
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-46084-5
ISBNs
978-3-54-044074-1, 978-3-54-046084-8
Editors

José R. Dorronsoro

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The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 4%
France 1 2%
Portugal 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 48 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Master 12 22%
Student > Ph. D. Student 11 20%
Unspecified 6 11%
Student > Postgraduate 4 7%
Other 9 17%
Readers by discipline Count As %
Computer Science 27 50%
Engineering 13 24%
Unspecified 5 9%
Business, Management and Accounting 2 4%
Earth and Planetary Sciences 2 4%
Other 5 9%