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 Loca