An edition of Neural Information Processing
(2012)
Neural Information Processing
19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
by Tingwen Huang
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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.
Publish Date
2012
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
722
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Previews available in: English
Subjects
Pattern perception, Image Processing and Computer Vision, Data Mining and Knowledge Discovery, Optical pattern recognition, Simulation and Modeling, Computer vision, Computer simulation, Computation by Abstract Devices, Computer science, Data mining, Artificial intelligence, Artificial Intelligence (incl. Robotics)Showing 1 featured edition. View all 1 editions?
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Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
2012, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
3642344879 9783642344879
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Book Details
Table of Contents
<p>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.</p>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.
^^
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