Neural Information Processing [electronic resource] : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II / edited by Tingwen Huang, Zhigang Zeng, Chuandong Li, Chi Sing Leung.

On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition -- Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF -- An Improved Method of Identification Based on Thermal Palm Vein Image -- Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks -- A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images -- The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses -- Estimating Neural Firing Rates: An Empirical Bayes Approach -- Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods -- Improving Risk Predictions by Preprocessing Imbalanced Credit Data -- Hybrid Validation of Handwriting Process Modelling -- Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel -- Bayesian Modeling of Visual Attention -- Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity -- Optimization of SIRMs Fuzzy Model Using Lukasiewicz Logic -- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning -- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects -- The Elastic Net as Visual Category Representation: Visualisation and Classification -- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning -- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology -- A Dynamic Bio-inspired Model of Categorization -- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining -- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study -- Identification of Neural Network Structure from Multiple Spike Sequences -- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems -- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting -- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces -- A Regularized Linear Classifier for Effective Text Classification -- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection -- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements -- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance -- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines -- Using Agent Based Modeling and Simulation for Data Mining -- Neurodynamical Top-Down Processing during Auditory Attention -- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization -- Human-Like Intuitive Playing in Board Games -- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes -- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks -- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images -- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application -- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification -- Multitask Twin Support Vector Machines -- Bandit-Based Structure Learning for Bayesian Network Classifiers -- Modeling the Mental Differentiation Task with EEG -- Office-Space-Allocation Problem Using Harmony Search Algorithm -- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification -- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses -- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model -- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment -- Validation Based Sparse Gaussian Processes for Ordinal Regression -- Cross-Subject Classification of Speaking Modes Using fNIRS -- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks -- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index -- Modeling of Polycaprolactone Production from Lukasiewicz Logic -- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning -- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects -- The Elastic Net as Visual Category Representation: Visualisation and Classification -- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning -- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology -- A Dynamic Bio-inspired Model of Categorization -- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining -- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study -- Identification of Neural Network Structure from Multiple Spike Sequences -- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems -- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting -- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces -- A Regularized Linear Classifier for Effective Text Classification -- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection -- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements -- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance -- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines -- Using Agent Based Modeling and Simulation for Data Mining -- Neurodynamical Top-Down Processing during Auditory Attention -- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization -- Human-Like Intuitive Playing in Board Games -- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes -- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks -- Generation of Environmental Representation of a Large Indoor Parking Lot.

Survey on Simplified Olfactory Bionic Model to Generate Texture Images -- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application -- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification -- Multitask Twin Support Vector Machines -- Bandit-Based Structure Learning for Bayesian Network Classifiers -- Modeling the Mental Differentiation Task with EEG -- Office-Space-Allocation Problem Using Harmony Search Algorithm -- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification -- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses -- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model -- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment -- Validation Based Sparse Gaussian Processes for Ordinal Regression -- Cross-Subject Classification of Speaking Modes Using fNIRS -- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks -- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index -- Modeling of Polycaprolactone Production from ε-Caprolactone Using Neural Network -- Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting -- Suppression of Functional System with Markovian Switching -- P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions -- A Novel Method of Sparse Least Squares Support Vector Machines in Class Empirical Feature Space -- Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support -- Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction -- Delay-Dependent Stabilization of Uncertain Distributed Systems with Interval Time-Varying Delay -- GARF: Towards Self-optimised Random Forests -- TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems -- Feature Selection for Electricity Load Prediction -- Statistical and Machine Learning Methods for Electricity Demand Prediction -- EnerPlan: Smart Energy Management Planning for Home Users -- Harnessing Chaotic Activation Functions in Training Neural Network -- Self-correcting Symmetry Detection Network -- Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse -- Energy-Based Temporal Neural Networks for Imputing Missing Values -- Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network -- Collaborative Generative Topographic Mapping -- Rule Extraction from Ensemble Methods Using Aggregated Decision Trees -- Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform -- Multi-Threaded Support Vector Machines for Pattern Recognition -- A Malware Collection and Analysis Framework Based on Darknet Traffic -- Markovian Models for Electrical Load Prediction in Smart Buildings -- Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments -- Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution -- Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics -- SVM-Based Just-in-Time Ad.