Advances in Neural Networks - ISNN 2005 Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

Pattern Analysis.- A New Approach for Classification: Visual Simulation Point of View.- A Novel Classifier with the Immune-Training Based Wavelet Neural Network.- Fisher Subspace Tree Classifier Based on Neural Networks.- Classification Algorithms Based on Fisher Discriminant and Perceptron Neural Network.- Robust Classification of Immunity Clonal Synergetic Network Inspired by Fuzzy Integral.- An Improved Optimal Pairwise Coupling Classifier.- Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection.- Principle for Outputs of Hidden Neurons in CC4 Network.- Chunk Incremental LDA Computing on Data Streams.- A Novel Clustering Method Based on SVM.- Clustering High-Dimensional Data Using Growing SOM.- A Novel Clustering Algorithm Based upon a SOFM Neural Network Family.- Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods.- Selection of Optimal Features for Iris Recognition.- Application of Multi-weighted Neuron for Iris Recognition.- Robust Precise Eye Location by Adaboost and SVM Techniques.- Classification-Based Face Detection Using Compound Features.- Face Recognition Using RBF Neural Networks and Wavelet Transform.- Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints.- Gabor Features-Based Classification Using SVM for Face Recognition.- An Experimental Evaluation of Linear and Kernel-Based Classifiers for Face Recognition.- A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces.- Boosted Independent Features for Face Expression Recognition.- Intelligent Immigration Control System by Using Passport Recognition and Face Verification.- Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove.- Fingerprint Minutia Recognition with Fuzzy Neural Network.- Fingerprint Classification Based on Curvature Sampling and RBF Neural Networks.- Palmprint Recognition Based on Translation Invariant Zernike Moments and Modular Neural Network.- Gait Recognition Using Independent Component Analysis.- Nighttime Pedestrian Detection with a Normal Camera Using SVM Classifier.- Signature Recognition and Verification with Artificial Neural Network Using Moment Invariant Method.- Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space.- Recognition of English Business Cards Using Enhanced Hybrid Network.- A Novel Approach for License Plate Recognition Using Subspace Projection and Probabilistic Neural Network.- Automatic Authentication Technique Based on Supervised ART-2 and Polynomial Spline Pyramid Algorithm.- Neural Network Based Online Feature Selection for Vehicle Tracking.- TextCC: New Feed Forward Neural Network for Classifying Documents Instantly.- A Neural Network Model for Hierarchical Multilingual Text Categorization.- Chinese Syntactic Category Disambiguation Using Support Vector Machines.- A Clustering Algorithm for Chinese Text Based on SOM Neural Network and Density.- Automatic Caption Detection in Video Frames Based on Support Vector Machine.- Selection of ICA Features for Texture Classification.- Feature Selection and Fusion for Texture Classification.- Scene Classification Using Adaptive Processing of Tree Representation of Rectangular-Shape Partition of Images.- Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.- Image Recognition Using Synergetic Neural Network.- Content Based Retrieval and Classification of Cultural Relic Images.- Obscene Image Recognition Based on Model Matching and BWFNN.- Classification of SAR Imagery Using Multiscale Self-organizing Network.- Mixture of Experts for Stellar Data Classification.- A Neural Network Model for Extraction of Salient Contours.- A Mechanism for Extracting Optical Virtual Contours of Discrete Dot Stimuli.- Using Self-organizing Map for Mental Tasks Classification in Brain-Computer Interface.- Speech Recognition Using Stereo Vision Neural Networks with Competition and Cooperation.- Speech Recognition of Finite Words Based on Multi-weight Neural Network.- Continuous Speech Research Based on Two-Weight Neural Network.- Two-Domain Feature Compensation for Robust Speech Recognition.- On Kernel Discriminant Analyses Applied to Phoneme Classification.- Automatic News Audio Classification Based on Selective Ensemble SVMs.- A Compound Statistical Model Based Radar HRRP Target Recognition.- A Radar Target Multi-feature Fusion Classifier Based on Rough Neural Network.- Automatic Digital Modulation Recognition Based on ART2A-DWNN.- Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines.- Feature Selection and Identification of Underground Nuclear Explosion and Natural Earthquake Based on Gamma Test and BP Neural Network.- An Adaptive Neural Network Classifier for Tropical Cyclone Prediction Using a Two-Layer Feature Selector.- Feature Point Matching of Affine Model Images Using Hopfield Network.- System Modeling.- Nonlinear System Modeling Using Wavelet Networks.- Robust Modeling for Nonlinear Dynamic Systems Using a Neurofuzzy Approach with Iterative Optimization.- Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Stationary Wavelet Transform.- Adding Value to System Dynamics Modeling by Using Artificial Neural Network.- Least Squares Wavelet Support Vector Machines for Nonlinear System Identification.- Wavelet Support Vector Machines and Its Application for Nonlinear System Identification.- Comparative Assessment of Interval and Affine Arithmetic in Neural Network State Prediction.- Identification of Duffing’s Equation with Dynamic Recurrent Neural Network.- An Intelligent System for Dynamic System State Forecasting.- Signal Processing.- Sequential Extraction Algorithm for BSS Without Error Accumulation.- A Learning Framework for Blind Source Separation Using Generalized Eigenvalues.- Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.- A Novel Approach for Underdetermined Blind Sources Separation in Frequency Domain.- A Neural Network Blind Separation Method Based on Special Frequency Bins.- Application of Blind Source Separation to Time Delay Estimation in Interference Environments.- Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels.- A Novel Blind Deconvolution Method for Single-Output Chaotic Convolution Mixed Signal.- Stability Analysis of Multichannel Blind Deconvolution.- Joint Diagonalization of Power Spectral Density Matrices for Blind Source Separation of Convolutive Mixtures.- A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures.- FIR Convolutive BSS Based on Sparse Representation.- Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals.- Blind Source Separation-Based Encryption of Images and Speeches.- A Digital Audio Watermarking Scheme Based on Blind Source Separation.- Lidar Signal Processing for Under-Water Object Detection.- Ultra-wideband Nearfield Adaptive Beamforming Based on a RBF Neural Network.- Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm.- A Unified Framework for Synthesis of Cosine-Modulated Filter Banks and Corresponding Wavelets.- A Systematic Chaotic Noise Reduction Method Combining with Neural Network.- A New Speech Enhancement Method for Adverse Noise Environment.- A Subband Adaptive Learning Algorithm for Microphone Array Based Speech Enhancement.- A Spiking Neuron Model of Auditory Neural Coding.- Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform.- Prediction of Time Sequence Using Recurrent Compensatory Neuro-fuzzy Systems.- Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks.- Improving Ability of Passive Attacks of Ch