Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems
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   Chapter 2 Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons
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   Chapter 3 Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking
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   Chapter 4 Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex
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   Chapter 5 Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
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   Chapter 6 A Computational Model of Spatial Imagery Based on Object–Centered Scene Representation
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   Chapter 7 Biophysical Modeling of a Drosophila Photoreceptor
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   Chapter 8 Comparing a Cognitive and a Neural Model for Relative Trust Dynamics
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    Chapter 9 A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling
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    Chapter 10 Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks
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    Chapter 11 Finding MAPs Using High Order Recurrent Networks
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    Chapter 12 A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems
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    Chapter 13 Decoding Characteristics of D/A Converters Based on Spiking Neurons
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    Chapter 14 Separable Recursive Training Algorithms with Switching Module
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    Chapter 15 Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations
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    Chapter 16 Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator
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    Chapter 17 A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv
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    Chapter 18 Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation
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    Chapter 19 A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution
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    Chapter 20 Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection
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    Chapter 21 Divergence, Optimization and Geometry
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    Chapter 22 Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays
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    Chapter 23 An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion
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    Chapter 24 PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM
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    Chapter 25 Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains
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    Chapter 26 Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation
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    Chapter 27 Quasi-Deterministic Partially Observable Markov Decision Processes
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    Chapter 28 Hierarchical Text Classification Incremental Learning
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    Chapter 29 Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays
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    Chapter 30 Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems
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    Chapter 31 Fault Tolerant Regularizers for Multilayer Feedforward Networks
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    Chapter 32 Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals
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    Chapter 33 Robust Local Tangent Space Alignment
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    Chapter 34 Probabilistic Combination of Multiple Evidence
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    Chapter 35 FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams
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    Chapter 36 Advances in PARAFAC Using Parallel Block Decomposition
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    Chapter 37 An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression
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    Chapter 38 DOA Estimation of Multiple Convolutively Mixed Sources Based on Principle Component Analysis
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    Chapter 39 Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification
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    Chapter 40 The Optimization of Kernel CMAC Based on BYY Learning
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    Chapter 41 Closest Source Selection Using IVA and Characteristic of Mixing Channel
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    Chapter 42 Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA
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    Chapter 43 Echo Energy Estimation in Active Sonar Using Fast Independent Component Analysis
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    Chapter 44 Improving SVM Classification with Imbalance Data Set
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    Chapter 45 Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method
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    Chapter 46 Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals
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    Chapter 47 Learning of Mahalanobis Discriminant Functions by a Neural Network
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    Chapter 48 Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor
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    Chapter 49 Learning Gaussian Process Models from Uncertain Data
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    Chapter 50 A Bootstrap Artificial Neural Network Based Heterogeneous Panel Unit Root Test in Case of Cross Sectional Independence
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    Chapter 51 A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things
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    Chapter 52 Cellular Neural Networks Template Training System Using Iterative Annealing Optimization Technique on ACE16k Chip
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    Chapter 53 Estimation of Driving Phase by Modeling Brake Pressure Signals
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    Chapter 54 Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes
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    Chapter 55 Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks
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    Chapter 56 SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training
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    Chapter 57 Tracking in Reinforcement Learning
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    Chapter 58 Ensembling Heterogeneous Learning Models with Boosting
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    Chapter 59 Improvement Algorithm for Approximate Incremental Learning
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    Chapter 60 A Meta-learning Method Based on Temporal Difference Error
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    Chapter 61 Local Learning Rules for Nonnegative Tucker Decomposition
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    Chapter 62 Comparing Large Datasets Structures through Unsupervised Learning
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    Chapter 63 Applying Duo Output Neural Networks to Solve Single Output Regression Problem
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    Chapter 64 An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression
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    Chapter 65 Learning Cooperative Behaviours in Multiagent Reinforcement Learning
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    Chapter 66 Generating Tonal Counterpoint Using Reinforcement Learning
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    Chapter 67 Robust Approximation in Decomposed Reinforcement Learning
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    Chapter 68 Learning of Go Board State Evaluation Function by Artificial Neural Network
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    Chapter 69 Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network
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    Chapter 70 Semi-Naïve Bayesian Method for Network Intrusion Detection System
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    Chapter 71 Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2
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    Chapter 72 Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB
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    Chapter 73 Palmprint Recognition Based on Local DCT Feature Extraction
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    Chapter 74 Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech
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    Chapter 75 Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node
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    Chapter 76 A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning
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    Chapter 77 Gender Identification from Thai Speech Signal Using a Neural Network
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    Chapter 78 Gender Classification Based on Support Vector Machine with Automatic Confidence
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    Chapter 79 Multiple Occluded Face Detection Based on Binocular Saliency Map
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    Chapter 80 A Mutual Information Based Face Recognition Method
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    Chapter 81 Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score
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    Chapter 82 A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition
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    Chapter 83 Selecting, Optimizing and Fusing ‘Salient’ Gabor Features for Facial Expression Recognition
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    Chapter 84 Self-Organized Gabor Features for Pose Invariant Face Recognition
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    Chapter 85 Image Hierarchical Segmentation Based on a GHSOM
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    Chapter 86 An Efficient Coding Model for Image Representation
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    Chapter 87 SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model
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    Chapter 88 Data Partitioning Technique for Online and Incremental Visual SLAM
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    Chapter 89 Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation
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    Chapter 90 An Image Identifier Based on Hausdorff Shape Trace Transform
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    Chapter 91 Personalized Fingerprint Segmentation
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    Chapter 92 Automatic Image Restoration Based on Tensor Voting
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    Chapter 93 Robust Incremental Subspace Learning for Object Tracking
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    Chapter 94 Reversible Data Hiding Using the Histogram Modification of Block Image
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    Chapter 95 A Rock Structure Recognition System Using FMI Images
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    Chapter 96 Analyzing Price Data to Determine Positive and Negative Product Associations
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    Chapter 97 Production Planning Algorithm and Software for Sofa Factory
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    Chapter 98 Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification
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     Chapter 99 Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
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     Chapter 100 Exchange Rate Forecasting Using Classifier Ensemble
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     Chapter 101 Erratum to: Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks