Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III (Lecture Notes in Computer Science, 7665)

Annotation The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The 5 volumes represent 5 topical sections containing articles on theoretical analysis, neural modeling, algorithms, applications, as well as simulation and synthesis

Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation Efficient Non-linear Filter for Impulse Noise Removal in Document Images Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions Generalized Agglomerative Fuzzy Clustering A Novel Self-Adaptive Clustering Algorithm for Dynamic Data Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.- Salient Instance Selection for Multiple-Instance Learning Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation Application of Variational Granularity Language Sets in Interactive Genetic Algorithms Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis ^ A Human-Simulated Immune Evolutionary Computation Approach A STPHD-Based Multi-sensor Fusion Method Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method Multiple Outlooks Learning with Support Vector Machines Multi-Task Learning Using Shared and Task Specific Information Learning Attentive Fusion of Multiple Bayesian Network Classifiers Multiclass Penalized Likelihood Pattern Classification Algorithm Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression ^ ^^ Deterministic Annealing Multi-Sphere Support Vector Data Description,- Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.- Evolutionary Extreme Learning Machine for Ordinal Regression Biclustering and Subspace Learning with Regularization for Financial Risk Analysis Emotion Understanding in Movie Clips Based on EEG Signal Analysis A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.- A Hybrid Approach for Adaptive Car Navigation Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition Transductive Cartoon Retrieval by Multiple Hypergraph Learning Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization ^ ^^ Online Projective Nonnegative Matrix Factorization for Large Datasets Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm Gabor-Based Novel Local, Shape and Color Features for Image Classification A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System Multi-source Transfer Learning with Multi-view Adaboost Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination Tracking Property of UMDA in Dynamic Environment by Landscape Framework Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set Novelty Detection Using a New Group Outlier Factor Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons Feature Selection for Unsupervised Learning ^ ^^ Recursive Similarity-Based Algorithm for Deep Learning A Fast Edge-Directed Interpolation Algorithm Real-Valued Constraint Optimization with ICHEA.- Modeling Post-training Memory Transfer in Cerebellar Motor Learning.- Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations Solving Dynamic Constraint Optimization Problems Using ICHEA An Incremental Approach to Solving Dynamic Constraint Satisfaction Problems Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking Modified Particle Swarm Optimization for Pattern Clustering ^ ^^ A Weighted Learning Vector Quantization Approach for Interval Data A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations Robust Hypersurface Fitting Based on Random Sampling Approximations Manifold Regularized Multi-Task Learning Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks Immune Algorithm for Bitmap Join Indexes Data Driven System Identification Using Evolutionary Algorithms A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets ^ ^^ Robust Active Learning for Linear Regression via Density Power Divergence Adaptive Probabilistic Policy Reuse Adaptive Classifier Selection in Large-Scale Hierarchical Classification An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks.- A Novel Road Traffic Sign Detection and Recognition Approach by Introducing CCM and LESH On the Application of Bio-inspired Algorithms in Timetabling Problem A Bio Inspired Estimation of Distribution Algorithm for Global Optimization Managing Qualitative Preferences with Constraints.- Inspired Fuzzy K-Modes Clustring Algorithm Evaluating SPAN Incremental Learning for Handwritten Digit Recognition DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems ^ ^^ Are You a Social Conformer.- Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation.

Efficient Non-linear Filter for Impulse Noise Removal in Document Images Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions Generalized Agglomerative Fuzzy Clustering A Novel Self-Adaptive Clustering Algorithm for Dynamic Data Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology.- Salient Instance Selection for Multiple-Instance Learning Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation Application of Variational Granularity Language Sets in Interactive Genetic Algorithms Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis ^ ^^ A Human-Simulated Immune Evolutionary Computation Approach A STPHD-Based Multi-sensor Fusion Method Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method Multiple Outlooks Learning with Support Vector Machines Multi-Task Learning Using Shared and Task Specific Information Learning Attentive Fusion of Multiple Bayesian Network Classifiers Multiclass Penalized Likelihood Pattern Classification Algorithm Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression ^ ^^ Deterministic Annealing Multi-Sphere Support Vector Data Description,- Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics On the Objective Function and Learning Algorithm for Concurrent Open Node Fault.- Evolutionary Extreme Learning Machine for Ordinal Regression Biclustering and Subspace Learning with Regularization for Financial Risk Analysis Emotion Understanding in Movie Clips Based on EEG Signal Analysis A Distributed Q-Learning Approach for Variable Attention to Multiple Critics.- A Hybrid Approach for Adaptive Car Navigation Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition Transductive Cartoon Retrieval by Multiple Hypergraph Learning Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization ^ ^^ Online Projective Nonnegative Matrix Factorization for Large Datasets Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm Gabor-Based Novel Local, Shape and Color Features for Image Classification A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System Multi-source Transfer Learning with Multi-view Adaboost Semi-supervised Multitask Learning via Self-trainin. ^^ Front Matter....Pages - Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation....Pages 1-8 Efficient Non-linear Filter for Impulse Noise Removal in Document Images....Pages 9-16 Evolving Flexible Beta Operator Neural Trees (FBONT) for Time Series Forecasting....Pages 17-24 Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions....Pages 25-33 Generalized Agglomerative Fuzzy Clustering....Pages 34-41 A Novel Self-Adaptive Clustering Algorithm for Dynamic Data....Pages 42-49 Impulsive Synchronization of State Delayed Discrete Complex Networks with Switching Topology....Pages 50-57 Salient Instance Selection for Multiple-Instance Learning....Pages 58-67 Motivating Retail Marketing Efforts under Fairness Concerns in Small-World Networks: A Multi-agent Simulation....Pages 68-75 Application of Variational Granularity Language Sets in Interactive Genetic Algorithms....Pages 76-83 Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis....Pages 84-91 A Human-Simulated Immune Evolutionary Computation Approach....Pages 92-99 A STPHD-Based Multi-sensor Fusion Method....Pages 100-107 Group Sparse Inverse Covariance Selection with a Dual Augmented Lagrangian Method....Pages 108-115 Multiple Outlooks Learning with Support Vector Machines....Pages 116-124 Multi-Task Learning Using Shared and Task Specific Information....Pages 125-132 Learning Attentive Fusion of Multiple Bayesian Network Classifiers....Pages 133-140 Multiclass Penalized Likelihood Pattern Classification Algorithm....Pages 141-148 Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervision....Pages 149-156 Decoupled 2-D DOA Estimation Algorithm Based on Cross-Correlation Matrix for Coherently Distributed Source....Pages 157-165 Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations....Pages 166-173 A New Approach for a Priori Client Threshold Estimation in Biometric Signature Recognition Based on Multiple Linear Regression....Pages 174-182 Deterministic Annealing Multi-Sphere Support Vector Data Description....Pages 183-190 Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface....Pages 191-198 A Basic Study on Particle Swarm Optimization Based on Chaotic Spike Oscillator Dynamics....Pages 199-207 On the Objective Function and Learning Algorithm for Concurrent Open Node Fault....Pages 208-216 Evolutionary Extreme Learning Machine for Ordinal Regression....Pages 217-227 Biclustering and Subspace Learning with Regularization for Financial Risk Analysis....Pages 228-235 Emotion Understanding in Movie Clips Based on EEG Signal Analysis....Pages 236-243 A Distributed Q-Learning Approach for Variable Attention to Multiple Critics....Pages 244-251 A Hybrid Approach for Adaptive Car Navigation....Pages 252-261 Low Complexity Classification System for Glove-Based Arabic Sign Language Recognition....Pages 262-268 Transductive Cartoon Retrieval by Multiple Hypergraph Learning....Pages 269-276 Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization....Pages 277-284 Online Projective Nonnegative Matrix Factorization for Large Datasets....Pages 285-290 Optimization of Fuzzy Systems Using Group-Based Evolutionary Algorithm....Pages 291-298 Gabor-Based Novel Local, Shape and Color Features for Image Classification....Pages 299-306 A Hybrid KNN-Ant Colony Optimization Algorithm for Prototype Selection....Pages 307-314 Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm....Pages 315-323 A Contextual-Bandit Algorithm for Mobile Context-Aware Recommender System....Pages 324-331 Multi-source Transfer Learning with Multi-view Adaboost....Pages 332-339 Semi-supervised Multitask Learning via Self-training and Maximum Entropy Discrimination....Pages 340-347 Tracking Property of UMDA in Dynamic Environment by Landscape Framework....Pages 348-355 Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set....Pages 356-363 Novelty Detection Using a New Group Outlier Factor....Pages 364-372 Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons....Pages 373-381 Feature Selection for Unsupervised Learning....Pages 382-389 Recursive Similarity-Based Algorithm for Deep Learning....Pages 390-397 A Fast Edge-Directed Interpolation Algorithm....Pages 398-405 Real-Valued Constraint Optimization with ICHEA....Pages 406-416 Modeling Post-training Memory Transfer in Cerebellar Motor Learning....Pages 417-424 Surface-Based Construction of Curvature Selectivity from the Integration of Local Orientations....Pages 425-433 Solving Dynamic Constraint Optimization Problems Using ICHEA....Pages 434-444 An Incremental Approach to Solving Dynamic Constraint Satisfaction Problems....Pages 445-455 Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm....Pages 456-464 Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering....Pages 465-473 Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays....Pages 474-479 RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory....Pages 480-487 A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking....Pages 488-495 Modified Particle Swarm Optimization for Pattern Clustering....Pages 496-503 A Weighted Learning Vector Quantization Approach for Interval Data....Pages 504-511 A Genetic Algorithm Solution for the Operation of Green LTE Networks with Energy and Environment Considerations....Pages 512-519 Robust Hypersurface Fitting Based on Random Sampling Approximations....Pages 520-527 Manifold Regularized Multi-Task Learning....Pages 528-536 Cooperative Behavior Acquisition in Multi-agent Reinforcement Learning System Using Attention Degree....Pages 537-544 Basic Study on Particle Swarm Optimization with Hierarchical Structure for Constrained Optimization Problems....Pages 545-551 A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks....Pages 552-559 Immune Algorithm for Bitmap Join Indexes....Pages 560-567 Data Driven System Identification Using Evolutionary Algorithms....Pages 568-576 A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data....Pages 577-584 A Knowledge-Driven Bi-clustering Method for Mining Noisy Datasets....Pages 585-593 Robust Active Learning for Linear Regression via Density Power Divergence....Pages 594-602 Adaptive Probabilistic Policy Reuse....Pages 603-611 Adaptive Classifier Selection in Large-Scale Hierarchical Classification....Pages 612-619 An Efficient Algorithm for Anomaly Detection in a Flight System Using Dynamic Bayesian Networks....Pages 620-628 A Novel Road Traffic Sign Detection and Recognition Approach by Introducing CCM and LESH....Pages 629-636 On the Application of Bio-inspired Algorithms in Timetabling Problem....Pages 637-644 A Bio Inspired Estimation of Distribution Algorithm for Global Optimization....Pages 645-652 Managing Qualitative Preferences with Constraints....Pages 653-662 A Bio Inspired Fuzzy K-Modes Clustring Algorithm....Pages 663-669 Evaluating SPAN Incremental Learning for Handwritten Digit Recognition....Pages 670-677 DPSO Based on Random Particle Priority Value and Decomposition Procedure as a Searching Strategy for the Evacuation Vehicle Routing Problem....Pages 678-685 A Quantum-Inspired Evolutionary Algorithm for Optimization Numerical Problems....Pages 686-693 Are You a Social Conformer?....Pages 694-701 Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation....Pages 702-709 Back Matter....Pages - Pt.1 [708p.] -- Pt.2 [712p.] -- Pt.3 [722p.] -- Pt.4 [710p.] -- Pt.5 [756p.] Tingwen Huang [and Others], (eds.). This Volume Is Part Of The Five-volume Proceedings Of The 19th International Conference On Neural Information Processing (iconip 2012)--preface. Includes Bibliographical References And Author Index.