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Neural Information Processing Masumi Ishikawa

Neural Information Processing By Masumi Ishikawa

Neural Information Processing by Masumi Ishikawa

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Summary

Constitutes the refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology.

Neural Information Processing Summary

Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II by Masumi Ishikawa

The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology.

The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.

Table of Contents

Statistical and Pattern Recognition Algorithms.- Interpolating Vectors: Powerful Algorithm for Pattern Recognition.- Multi-Scale Kernel Latent Variable Models for Nonlinear Time Series Pattern Matching.- On-line Algorithm for Extraction of Specific Signals with Temporal Structure.- Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank.- Reproduction and Recognition of Vowel Signals Using Single and Bagging Competitive Associative Nets.- Orientation Recognition of Iris Pattern.- Clustering Based on LVQ and a Split and Merge Procedure.- Experimental Analysis of Exchange Ratio in Exchange Monte Carlo Method.- Video Restoration with Motion Prediction Based on the Multiresolution Wavelet Analysis.- Neuromorphic Hardware and Implementations.- Fundamental Analysis of a Digital Spiking Neuron for Its Spike-Based Coding.- A 160x120 Edge Detection Vision Chip for Neuromorphic Systems Using Logarithmic Active Pixel Sensor with Low Power Dissipation.- A Robot Vision System for Collision Avoidance Using a Bio-inspired Algorithm.- Analog CMOS Circuits Implementing Neural Segmentation Model Based on Symmetric STDP Learning.- Power Quality Control of Hybrid Wind Power Generation System Using Fuzzy-Robust Controller.- A New Hardware Friendly Vector Distance Evaluation Function for Vector Classifiers.- Robotics.- Intelligent Behavior Generation of Benevolent Agents with a Stochastic Model of Emotion.- Design Principles and Constraints Underlying the Construction of Brain-Based Devices.- Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents.- Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding Network.- Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation.- Interpolation and Extrapolation of Motion Patterns in the Proto-symbol Space.- Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-organizing Nonmonotonicity.- From Biologically Realistic Imitation to Robot Teaching Via Human Motor Learning.- Vowel Imitation Using Vocal Tract Model and Recurrent Neural Network.- Policy Learning for Motor Skills.- Task Learning Based on Reinforcement Learning in Virtual Environment.- Data Mining and Knowledge Discovery.- Resolving Hidden Representations.- Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search.- Spherical and Torus SOM Approaches to Metabolic Syndrome Evaluation.- A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data.- Information Geometry and Information Theory in Machine Learning.- Natural Conjugate Gradient in Variational Inference.- A Robust ICA-Based Adaptive Filter Algorithm for System Identification Using Stochastic Information Gradient.- Component Reduction for Hierarchical Mixture Model Construction.- Learning a Kernel Matrix for Time Series Data from DTW Distances.- Neural Network Method for Protein Structure Search Using Cell-Cell Adhesion.- Unsupervised Anomaly Detection Using HDG-Clustering Algorithm.- A New Association Rule Mining Algorithm.- A Multi-agent Architecture Based Cooperation and Intelligent Decision Making Method for Multirobot Systems.- Hybrid Fuzzy Colour Processing and Learning.- Adaptive Face Recognition System Using Fast Incremental Principal Component Analysis.- Adaptive Spiking Neural Networks for Audiovisual Pattern Recognition.- Evolving Connectionist Systems for Adaptive Sport Coaching.- A Novel Chaotic Neural Network for Function Optimization.- Interpretable Piecewise Linear Classifier.- A Visualization of Genetic Algorithm Using the Pseudo-color.- A Novel Algorithm for Associative Classification.- Real World Applications.- Solar Radiation Data Modeling with a Novel Surface Fitting Approach.- Electricity Quality Control of an Independent Power System Based on Hybrid Intelligent Controller.- Enhancing Existing Stockmarket Trading Strategies Using Artificial Neural Networks: A Case Study.- Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS.- Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA.- Blind Source Separation Coping with the Change of the Number of Sources.- Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing.- Diagnosis of Lung Nodule Using Independent Component Analysis in Computerized Tomography Images.- A Knowledge Processing Neural Network Based on Automatic Concept Hierarchization.- Classification Using Multi-valued Pulse Coupled Neural Network.- Detection for Pickup Errors by Artificial Neural Networks.- SOM-Based Continuous Category Learning for Age Classification by Facial Images.- A Complete Hardware Implementation of an Integrated Sound Localization and Classification System Based on Spiking Neural Networks.- Binarizing Training Samples with Multi-threshold for Viola-Jones Face Detector.- Selection of Histograms of Oriented Gradients Features for Pedestrian Detection.- Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization.- 3-D Shape Reconstruction from Stereovision Data Using Object-Consisted Markov Random Field Model.- Application of the Unusual Motion Detection Using CHLAC to the Video Surveillance.- Bio-Inspired Functional Asymmetry Camera System.- Making a Robot Dance to Music Using Chaotic Itinerancy in a Network of FitzHugh-Nagumo Neurons.- Interactive Clothes Design Support System.- Neural Network for Modeling Esthetic Selection.- Adaptive Computer Game System Using Artificial Neural Networks.- Manifold Construction by Local Neighborhood Preservation.- Nonparametric Time-Varying Phasor Estimation Using Neural Networks.- A New Approach for Next Day Load Forecasting Integrating Artificial Neural Network Model with Weighted Frequency Bin Blocks.- Distribution Feeder Phase Balancing Using Newton-Raphson Algorithm-Based Controlled Active Filter.- The Use of Support Vector Machine for Phase Balancing in the Distribution Feeder.- Energy Dissipation Effect on a Quantum Neural Network.- Cognitive and Hybrid Intelligent Systems.- Learning and Memorizing Models of Logical Theories in a Hybrid Learning Device.- Mixtures of Experts: As an Attempt to Integrate the Dual Route Cascaded and the Triangle Models for Reading English Words.- A Multilayered Scheme of Bidirectional Associative Memory for Multistable Perception.- Text Categorization with Semantic Commonsense Knowledge: First Results.- Classification of Documents Based on the Structure of Their DOM Trees.- Bioinformatics.- Perfect Population Classification on Hapmap Data with a Small Number of SNPs.- Automatic Factorization of Biological Signals Measured by Fluorescence Correlation Spectroscopy Using Non-negative Matrix Factorization.- Controller Design Method of Gene Networks by Network Learning and Its Performance Evaluation.- Quantitative Morphodynamic Analysis of Time-Lapse Imaging by Edge Evolution Tracking.- Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization.- Fuzzy K-Nearest Neighbor Classifier to Predict Protein Solvent Accessibility.- Ontology-Based Framework for Personalized Diagnosis and Prognosis of Cancer Based on Gene Expression Data.- Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification.- Identification of Different Sets of Biomarkers for Diagnostic Classification of Cancers.- Model Screening: How to Choose the Best Fitting Regression Model?.- Neuroinformatics.- Japanese Neuroinformatics Node and Platforms.- Neuro-Imaging Platform for Neuroinformatics.- Development of Invertebrate Brain Platform: Management of Research Resources for Invertebrate Neuroscience and Neuroethology.- ICA-Based Spatio-temporal Features for EEG Signals.- Dynamical Nonstationarity Analysis of Resting EEGs in Alzheimer's Disease.- Computational Modeling of Circadian Rhythms in Suprachiasmatic Nucleus Neurons.- Incremental Knowledge Representation Based on Visual Selective Attention.- Integrated Model for Informal Inference Based on Neural Networks.- Brain-Conputer Interfaces.- Serial Processing of Emotional Type and Intensity: Evidence from an ERP Study.- Estimation of Force Motor Command to Control Robot by NIRS-Based BCI.- Decoding Syllables from Human fMRI Activity.- Prediction of Arm Trajectory from the Neural Activities of the Primary Motor Cortex Using a Modular Artificial Neural Network Model.- Prediction of a Go/No-go Decision from Single-Trial Activities of Multiple Neurons in Monkey Superior Colliculus.- Novel Approaches.- Diverse Evolutionary Neural Networks Based on Information Theory.- Diversity-Based Feature Selection from Neural Network with Low Computational Cost.- Reconstruction of Temporal Movement from Single-trial Non-invasive Brain Activity: A Hierarchical Bayesian Method.- Subject-Adaptive Real-Time BCI System.- A Study on Scheduling Function of a Magnetic Parameter in a Virtual Magnetic Diminuendo Method.- Stereo Saliency Map Considering Affective Factors in a Dynamic Environment.- Inference Based on Distributed Representations Using Trajectory Attractors.- Task Segmentation in a Mobile Robot by mnSOM and Clustering with Spatio-temporal Contiguity.

Additional information

NLS9783540691594
9780387984445
0387984445
Neural Information Processing: 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II by Masumi Ishikawa
Masumi Ishikawa
Theoretical Computer Science and General Issues
New
Paperback
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
2008-06-16
1091
N/A
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