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  • Produktbild: Neural Information Processing
  • Produktbild: Neural Information Processing

Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.2012

Abbildungen

XXI, 196 illus., schwarz-weiss Illustrationen

Herausgeber

Tingwen Huang + weitere

Verlag

Springer Berlin

Seitenzahl

722

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1107 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-34486-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.10.2012

Abbildungen

XXI, 196 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

722

Maße (L/B/H)

23,5/15,5/4 cm

Gewicht

1107 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-34486-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Neural Information Processing
  • Produktbild: Neural Information Processing

  • 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 NumericalProblems.- 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 MultiplicativeUpdates 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 aSearching 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.