Neural Information Processing

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was "e;Challenges and Trends of Neural Information Processing,"e; with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1–5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was “Challenges and Trends of Neural Information Processing,” with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.

Cognitive Science and Computational Neuroscience.- Hebbian-Based Neural Networks for Bottom-Up Visual Attention Systems.- Modeling of Cortical Signals Using Optimized Echo State Networks with Leaky Integrator Neurons.- Comparison of Near-Threshold Characteristics of Flash Suppression and Forward Masking.- Some Computational Predictions on the Possibilities of Three-Dimensional Properties of Grid Cells in Entorhinal Cortex.- Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors.- A Computational Model of Spatial Imagery Based on Object–Centered Scene Representation.- Biophysical Modeling of a Drosophila Photoreceptor.- Comparing a Cognitive and a Neural Model for Relative Trust Dynamics.- A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling.- Neurodynamics.- Modeling Geomagnetospheric Disturbances with Sequential Bayesian Recurrent Neural Networks.- Finding MAPs Using High Order Recurrent Networks.- A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems.- Decoding Characteristics of D/A Converters Based on Spiking Neurons.- Separable Recursive Training Algorithms with Switching Module.- Application-Driven Parameter Tuning Methodology for Dynamic Neural Field Equations.- Interspike Interval Statistics Obtained from Non-homogeneous Gamma Spike Generator.- Mathematical Modeling and Analysis.- A Novel Method for Progressive Multiple Sequence Alignment Based on Lempel-Ziv.- Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.- A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution.- Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection.- Divergence, Optimization and Geometry.- Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays.- An Adaptive Threshold in Joint Approximate Diagonalization by the Information Criterion.- PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM.- Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains.- Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation.- Quasi-Deterministic Partially Observable Markov Decision Processes.- Hierarchical Text Classification Incremental Learning.- Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays.- Hybrid Hopfield Architecture for Solving Nonlinear Programming Problems.- Fault Tolerant Regularizers for Multilayer Feedforward Networks.- Integrating Simulated Annealing and Delta Technique for Constructing Optimal Prediction Intervals.- Robust Local Tangent Space Alignment.- Probabilistic Combination of Multiple Evidence.- FIA: Frequent Itemsets Mining Based on Approximate Counting in Data Streams.- Advances in PARAFAC Using Parallel Block Decomposition.- An Observation Angle Dependent Nonstationary Covariance Function for Gaussian Process Regression.- Kernel and Related Methods.- DOA Estimation of Multiple Convolutively Mixed Sources Based on Principle Component Analysis.- Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification.- The Optimization of Kernel CMAC Based on BYY Learning.- Closest Source Selection Using IVA and Characteristic of Mixing Channel.- Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA.- Echo Energy Estimation in Active Sonar Using Fast Independent Component Analysis.- Improving SVM Classification with Imbalance Data Set.- Framework for Object Tracking with Support Vector Machines, Structural Tensor and the Mean Shift Method.- Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals.- Learning Algorithms.- Learning of Mahalanobis Discriminant Functions by a Neural Network.- Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor.- Learning Gaussian Process Models from Uncertain Data.- A Bootstrap Artificial Neural Network Based Heterogeneous Panel Unit Root Test in Case of Cross Sectional Independence.- A Novel Hierarchical Constructive BackPropagation with Memory for Teaching a Robot the Names of Things.- Cellular Neural Networks Template Training System Using Iterative Annealing Optimization Technique on ACE16k Chip.- Estimation of Driving Phase by Modeling Brake Pressure Signals.- Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes.- Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks.- SNIWD: Simultaneous Weight Noise Injection with Weight Decay for MLP Training.- Tracking in Reinforcement Learning.- Ensembling Heterogeneous Learning Models with Boosting.- Improvement Algorithm for Approximate Incremental Learning.- A Meta-learning Method Based on Temporal Difference Error.- Local Learning Rules for Nonnegative Tucker Decomposition.- Comparing Large Datasets Structures through Unsupervised Learning.- Applying Duo Output Neural Networks to Solve Single Output Regression Problem.- An Incremental Learning Algorithm for Resource Allocating Networks Based on Local Linear Regression.- Learning Cooperative Behaviours in Multiagent Reinforcement Learning.- Generating Tonal Counterpoint Using Reinforcement Learning.- Robust Approximation in Decomposed Reinforcement Learning.- Learning of Go Board State Evaluation Function by Artificial Neural Network.- Quick Maximum Power Point Tracking of Photovoltaic Using Online Learning Neural Network.- Pattern Analysis.- Semi-Naïve Bayesian Method for Network Intrusion Detection System.- Speaker Recognition Using Pole Distribution of Speech Signals Obtained by Bagging CAN2.- Fast Intra Mode Decision for H.264/AVC Based on Directional Information of I4MB.- Palmprint Recognition Based on Local DCT Feature Extraction.- Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech.- Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node.- A Synthesis Method of Gene Networks Having Cyclic Expression Pattern Sequences by Network Learning.- Face Analysis and Processing.- Gender Identification from Thai Speech Signal Using a Neural Network.- Gender Classification Based on Support Vector Machine with Automatic Confidence.- Multiple Occluded Face Detection Based on Binocular Saliency Map.- A Mutual Information Based Face Recognition Method.- Basis Selection for 2DLDA-Based Face Recognition Using Fisher Score.- A Robust Keypoints Matching Strategy for SIFT: An Application to Face Recognition.- Selecting, Optimizing and Fusing ‘Salient’ Gabor Features for Facial Expression Recognition.- Self-Organized Gabor Features for Pose Invariant Face Recognition.- Image Processing.- Image Hierarchical Segmentation Based on a GHSOM.- An Efficient Coding Model for Image Representation.- SSTEM Cell Image Segmentation Based on Top-Down Selective Attention Model.- Data Partitioning Technique for Online and Incremental Visual SLAM.- Improvement of Image Modeling with Affinity Propagation Algorithm for Semantic Image Annotation.- An Image Identifier Based on Hausdorff Shape Trace Transform.- Personalized Fingerprint Segmentation.- Automatic Image Restoration Based on Tensor Voting.- Robust Incremental Subspace Learning for Object Tracking.- Reversible Data Hiding Using the Histogram Modification of Block Image.- A Rock Structure Recognition System Using FMI Images.- Financial Applications.- Analyzing Price Data to Determine Positive and Negative Product Associations.- Production Planning Algorithm and Software for Sofa Factory.- Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification.- Exploring Early Classification Strategies of Streaming Data with Delayed Attributes.- Exchange Rate Forecasting Using Classifier Ensemble.- Erratum.- Erratum to: Backpropagation Learning Algorithm for Multilayer Phasor Neural Networks.