Neural Information Processing: 16th International Conference, Iconip 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II

ISBN-13: 9783642106828 / Angielski / Miękka / 2009 / 888 str.

Chi Sing Leung

Opis

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.

Spis treści

Computer Vision.- Obstacle Categorization Based on Hybridizing Global and Local Features.- Defect Detection and Classification in Citrus Using Computer Vision.- Superresolution from Occluded Scenes.- Generating Self-organized Saliency Map Based on Color and Motion.- Co-occurrence of Intensity and Gradient Features for Object Detection.- Control and Robotics.- Adaptive Sensor-Driven Neural Control for Learning in Walking Machines.- A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions.- Vision-Motor Abstraction toward Robot Cognition.- Adaptively Coordinating Heterogeneous Robot Teams through Asynchronous Situated Coevolution.- RL-Based Memory Controller for Scalable Autonomous Systems.- A Semantic SLAM Model for Autonomous Mobile Robots Using Content Based Image Retrieval Techniques.- Evolutionary Computation.- Parameter Estimation Using a SCE Strategy.- A Novel Evolving Clustering Algorithm with Polynomial Regression for Chaotic Time-Series Prediction.- A Multi-strategy Differential Evolution Algorithm for Financial Prediction with Single Multiplicative Neuron.- Boosted Neural Networks in Evolutionary Computation.- Improving Prediction Interval Quality: A Genetic Algorithm-Based Method Applied to Neural Networks.- Involving New Local Search in Hybrid Genetic Algorithm for Feature Selection.- Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem.- Other Emerging Computational Methods.- Swarm Reinforcement Learning Algorithm Based on Particle Swarm Optimization Whose Personal Bests Have Lifespans.- Effectiveness of Intrinsically Motivated Adaptive Agent for Sustainable Human-Agent Interaction.- RAST: A Related Abstract Search Tool.- An Artificial Bee Colony Algorithm for the Quadratic Knapsack Problem.- Universal Learning Machines.- Swarm Diversity Based Text Summarization.- A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains.- Growing Particle Swarm Optimizers with a Population-Dependent Parameter.- An Efficient Feature Selection Using Ant Colony Optimization Algorithm.- Stable Training Method for Echo State Networks Running in Closed-Loop Based on Particle Swarm Optimization Algorithm.- Signal, Data and Text Processing.- A Concept Generation Method Based on Mutual Information Quantity among Multiple Self-organizing Maps.- Decoding Ambisonic Signals to Irregular Loudspeaker Configuration Based on Artificial Neural Networks.- Document Clustering with Cluster Refinement and Non-negative Matrix Factorization.- Hierarchical Multi-view Fisher Discriminant Analysis.- Auditory Temporal Assimilation: A Discriminant Analysis of Electrophysiological Evidence.- Web Snippet Clustering Based on Text Enrichment with Concept Hierarchy.- Maintaining Footprint-Based Retrieval for Case Deletion.- Investigation of Neonatal EEG Time Series Using a Modified Nonlinear Dynamical Analysis.- Solving Fuzzy Linear Regression with Hybrid Optimization.- Automatic Document Tagging in Social Semantic Digital Library.- Text Mining with an Augmented Version of the Bisecting K-Means Algorithm.- Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach.- Artificial Spiking Neural Systems: Nonlinear Dynamics and Engineering Applications.- A Pulse-Coupled Network of SOM.- A Simple Spiking Neuron with Periodic Input: Basic Bifurcation and Encoding Function.- Exploiting Temporal Noises and Device Fluctuations in Enhancing Fidelity of Pulse-Density Modulator Consisting of Single-Electron Neural Circuits.- Bifurcation Analysis of a Resonate-and-Fire-Type Digital Spiking Neuron.- Strange Responses to Fluctuating Inputs in the Hindmarsh-Rose Neurons.- Towards Brain-Inspired Systems.- Evaluation of Color Constancy Vision Algorithm for Mobile Robots.- Surprise-Driven Exploration with Rao-Blackwellized Particle Filters for Efficiently Constructing Occupancy Grid Maps.- Retrieving Emotion from Motion Analysis: In a Real Time Parallel Framework for Robots.- Using Biologically Inspired Visual Features and Mixture of Experts for Face/Nonface Recognition.- Diagnosis Support System for Mucous Membrane Diseases in Oral Cavity.- Using Long and Short Term Memories in Solving Optimization Problems.- Computational Advances in Bioinformatics.- Overlap-Based Similarity Metrics for Motif Search in DNA Sequences.- An Evolutionary Artificial Neural Network for Medical Pattern Classification.- Coevolutionary Method for Gene Selection and Parameter Optimization in Microarray Data Analysis.- An Omnibus Permutation Test on Ensembles of Two-Locus Analyses for the Detection of Purely Epistatic Multi-locus Interactions.- Protein Fold Prediction Problem Using Ensemble of Classifiers.- Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer’s Disease Diagnosis.- Data Mining for Cybersecurity.- Hierarchical Core Vector Machines for Network Intrusion Detection.- String Kernel Based SVM for Internet Security Implementation.- Automated Log Analysis of Infected Windows OS Using Mechanized Reasoning.- HumanBoost: Utilization of Users’ Past Trust Decision for Identifying Fraudulent Websites.- A Methodology for Analyzing Overall Flow of Spam-Based Attacks.- A Proposal of Malware Distinction Method Based on Scan Patterns Using Spectrum Analysis.- Evolutionary Neural Networks: Theory and Practice.- A Transductive Neuro-Fuzzy Force Control: An Ethernet-Based Application to a Drilling Process.- Sentiment Classification with Support Vector Machines and Multiple Kernel Functions.- Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study.- “Dead” Chromosomes and Their Elimination in the Neuro-Genetic Stock Index Prediction System.- String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization.- Fault Condition Recognition Based on PSO and KPCA.- Evaluation of Distance Measures for Speciated Evolutionary Neural Networks in Pattern Classification Problems.- Emergence of Different Mating Strategies in Artificial Embodied Evolution.- Hybrid and Adaptive Systems for Computer Vision and Robot Control.- A Markov Model for Multiagent Patrolling in Continuous Time.- Hybrid Framework to Image Segmentation.- On the Robustness of Fuzzy-Genetic Colour Contrast Fusion with Variable Colour Depth.- Navel Orange Blemish Identification for Quality Grading System.- A Cyclostationarity Analysis Applied to Scaled Images.- Intelligent Data Mining.- Non-segmented Document Clustering Using Self-Organizing Map and Frequent Max Substring Technique.- A Visual Method for High-Dimensional Data Cluster Exploration.- An Algorithm Based on the Construction of Braun’s Cathode Ray Tube as a Novel Technique for Data Classification.- Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules.- AdaIndex: An Adaptive Index Structure for Fast Similarity Search in Metric Spaces.- Neural Networks for Data Mining.- The Application of Wavelet Neural Network Optimized by Particle Swarm in Localization of Acoustic Emission Source.- Speaker Recognition Based on GMM with an Embedded TDNN.- Finding Appropriate Turning Point for Text Sentiment Polarity.- Research on Natural Disaster Risk Assessment Model Based on Support Vector Machine and Its Application.- Identifying Tobacco Control Policy Drivers: A Neural Network Approach.- Intrusion Detection Using Neural Networks: A Grid Computing Based Data Mining Approach.- SOM and Related Subjects and Its Applications.- Recurrent Neural Networks as Local Models for Time Series Prediction.- Construction of the General Physical Condition Judgments System Using Acceleration Plethysmogram Analysis Results.- Decision of Class Borders on Spherical SOM and Its Visualization.- Quantifying the Path Preservation of SOM-Based Information Landscapes.- Self-Organizing Neural Grove and Its Parallel and Distributed Performance.- The Finding of Weak-Ties by Applying Spherical SOM and Association Rules.- Analysis of Robustness of Pareto Learning SOM to Variances of Input Vectors.- Interactive Hierarchical SOM for Image Retrieval Visualization.- Evaluation Patterns of Japanese Representative Athletes in the 2008 Beijing Olympic Games: Visualization of Social Expectation and Satisfaction by Use of Self-Organizing Maps.- Temporal Signal Processing by Feedback SOM: An Application to On-line Character Recognition Task.- A Study on Clustering Method by Self-Organizing Map and Information Criteria.

Blurb

The two volumes LNCS 5863 and 5864 constitute the proceedings of the 16th International Conference on Neural Information Processing, ICONIP 2009, held in Bangkok, Thailand, in December 2009.

The 145 regular session papers and 53 special session papers presented were carefully reviewed and selected from 466 submissions. The papers are structured in topical sections on cognitive science and computational neuroscience, neurodynamics, mathematical modeling and analysis, kernel and related methods, learning algorithms, pattern analysis, face analysis and processing, image processing, financial applications, computer vision, control and robotics, evolutionary computation, other emerging computational methods, signal, data and text processing, artificial spiking neural systems: nonlinear dynamics and engineering applications, towards brain-inspired systems, computational advances in bioinformatics, data mining for cybersecurity, evolutionary neural networks: theory and practice, hybrid and adaptive systems for computer vision and robot control, intelligent data mining, neural networks for data mining, and SOM and related subjects and its applications.