Neural Information Processing [E-Book] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung.
Huang, Tingwen.
Zeng, Zhigang. / Li, Chuandong. / Leung, Chi Sing.
Berlin, Heidelberg : Springer, 2012
XXI, 722 p. 196 illus. digital.
englisch
9783642344879
10.1007/978-3-642-34487-9
Lecture notes in computer science ; 7665
Full Text
Table of Contents:
  • 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.