Neural Information Processing

Table of Contents

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   Book Overview
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   Chapter 1 Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation
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   Chapter 2 Efficient Non-linear Filter for Impulse Noise Removal in Document Images
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   Chapter 3 Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting
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   Chapter 4 Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions
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   Chapter 5 Generalized Agglomerative Fuzzy Clustering
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   Chapter 6 A Novel Self-Adaptive Clustering Algorithm for Dynamic Data
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   Chapter 7 Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology
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   Chapter 8 Salient Instance Selection for Multiple-Instance Learning
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    Chapter 9 Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation
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    Chapter 10 Application of Variational Granularity Language Sets in Interactive Genetic Algorithms
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    Chapter 11 Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis
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    Chapter 12 Neural Information Processing
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    Chapter 13 A STPHD-Based Multi-sensor Fusion Method
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    Chapter 14 Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method
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    Chapter 15 Multiple Outlooks Learning with Support Vector Machines
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    Chapter 16 Multi-Task Learning Using Shared and Task Specific Information
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    Chapter 17 Learning Attentive Fusion of Multiple Bayesian Network Classifiers
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    Chapter 18 Multiclass Penalized Likelihood Pattern Classification Algorithm
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    Chapter 19 Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision
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    Chapter 20 Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source
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    Chapter 21 Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations
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    Chapter 22 A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression
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    Chapter 23 Neural Information Processing
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    Chapter 24 Neural Information Processing
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    Chapter 25 A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics
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    Chapter 26 On the Objective Function and Learning Algorithm for Concurrent Open Node Fault
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    Chapter 27 Evolutionary Extreme Learning Machine for Ordinal Regression
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    Chapter 28 Biclustering and Subspace Learning with Regularization for Financial Risk Analysis
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    Chapter 29 Emotion Understanding in Movie Clips Based on EEG Signal Analysis
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    Chapter 30 A Distributed Q-Learning Approach for Variable Attention to Multiple Critics
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    Chapter 31 A Hybrid Approach for Adaptive Car Navigation
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    Chapter 32 Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition
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    Chapter 33 Transductive Cartoon Retrieval by Multiple Hypergraph Learning
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    Chapter 34 Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization
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    Chapter 35 Online Projective Nonnegative Matrix Factorization for Large Datasets
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    Chapter 36 Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm
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    Chapter 37 Gabor-Based Novel Local, Shape and Color Features for Image Classification
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    Chapter 38 A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection
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    Chapter 39 Neural Information Processing
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    Chapter 40 A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System
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    Chapter 41 Multi-source Transfer Learning with Multi-view Adaboost
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    Chapter 42 Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination
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    Chapter 43 Tracking Property of UMDA in Dynamic Environment by Landscape Framework
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    Chapter 44 Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set
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    Chapter 45 Novelty Detection Using a New Group Outlier Factor
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    Chapter 46 Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons
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    Chapter 47 Feature Selection for Unsupervised Learning
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    Chapter 48 Recursive Similarity-Based Algorithm for Deep Learning
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    Chapter 49 A Fast Edge-Directed Interpolation Algorithm
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    Chapter 50 Neural Information Processing
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    Chapter 51 Modeling Post-training Memory Transfer in Cerebellar Motor Learning
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    Chapter 52 Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations
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    Chapter 53 Neural Information Processing
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    Chapter 54 Neural Information Processing
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    Chapter 55 Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm
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    Chapter 56 Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering
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    Chapter 57 Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays
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    Chapter 58 RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory
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    Chapter 59 A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking
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    Chapter 60 Modified Particle Swarm Optimization for Pattern Clustering
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    Chapter 61 A Weighted Learning Vector Quantization Approach for Interval Data
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    Chapter 62 A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations
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    Chapter 63 Robust Hypersurface Fitting Based on Random Sampling Approximations
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    Chapter 64 Manifold Regularized Multi-Task Learning
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    Chapter 65 Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree
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    Chapter 66 Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems
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    Chapter 67 A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks
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    Chapter 68 Immune Algorithm for Bitmap Join Indexes
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    Chapter 69 Data Driven System Identification Using Evolutionary Algorithms
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    Chapter 70 A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data
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    Chapter 71 A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets
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    Chapter 72 Robust Active Learning for Linear Regression via Density Power Divergence
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    Chapter 73 Adaptive Probabilistic Policy Reuse
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    Chapter 74 Adaptive Classifier Selection in Large-Scale Hierarchical Classification
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    Chapter 75 Neural Information Processing
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    Chapter 76 Neural Information Processing
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    Chapter 77 On the Application of Bio-inspired Algorithms in Timetabling Problem
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    Chapter 78 A Bio Inspired Estimation of Distribution Algorithm for Global Optimization
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    Chapter 79 Managing Qualitative Preferences with Constraints
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    Chapter 80 A Bio Inspired Fuzzy K-Modes Clustring Algorithm
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    Chapter 81 Evaluating SPAN Incremental Learning for Handwritten Digit Recognition
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    Chapter 82 DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem
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    Chapter 83 A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems
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    Chapter 84 Are You a Social Conformer?
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    Chapter 85 Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation