Artificial Neural Networks - ICANN 2006, 2006 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part II Theoretical Computer Science and General Issues Series

Neural Networks, Semantic Web Technologies and Multimedia Analysis (Special Session).- The Core Method: Connectionist Model Generation.- A Neural Scheme for Robust Detection of Transparent Logos in TV Programs.- A Neural Network to Retrieve Images from Text Queries.- Techniques for Still Image Scene Classification and Object Detection.- Adaptation of Weighted Fuzzy Programs.- Classified Ranking of Semantic Content Filtered Output Using Self-organizing Neural Networks.- Classifier Fusion: Combination Methods For Semantic Indexing in Video Content.- Bridging the Semantic Gap in Multimedia Machine Learning Approaches (Special Session).- Retrieval of Multimedia Objects by Combining Semantic Information from Visual and Textual Descriptors.- A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models.- Video Representation and Retrieval Using Spatio-temporal Descriptors and Region Relations.- Bridging the Syntactic and the Semantic Web Search.- Content-Based Coin Retrieval Using Invariant Features and Self-organizing Maps.- Signal and Time Series Processing (I).- Learning Time-Series Similarity with a Neural Network by Combining Similarity Measures.- Prediction Improvement via Smooth Component Analysis and Neural Network Mixing.- Missing Value Estimation for DNA Microarrays with Mutliresolution Schemes.- Applying REC Analysis to Ensembles of Sigma-Point Kalman Filters.- Analysis of Fast Input Selection: Application in Time Series Prediction.- A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm.- Signal and Time Series Processing (II).- Long-Term Prediction of Time Series Using State-Space Models.- Time Series Prediction Using Fuzzy Wavelet Neural Network Model.- OFDM Channel Equalization Based on Radial Basis Function Networks.- A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis.- Two ICA Algorithms Applied to BSS in Non-destructive Vibratory Tests.- Reference-Based Extraction of Phase Synchronous Components.- Data Analysis (I).- Analytic Solution of Hierarchical Variational Bayes in Linear Inverse Problem.- Nonnegative Matrix Factorization for Motor Imagery EEG Classification.- Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application.- Interpolating Support Information Granules.- Feature Selection Based on Kernel Discriminant Analysis.- Local Selection of Model Parameters in Probability Density Function Estimation.- The Sphere-Concatenate Method for Gaussian Process Canonical Correlation Analysis.- Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters.- Kernel PCA as a Visualization Tools for Clusters Identifications.- Data Analysis (II).- A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction.- Feature Extraction with Weighted Samples Based on Independent Component Analysis.- Discriminant Analysis by a Neural Network with Mahalanobis Distance.- Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping.- A Model Selection Method Based on Bound of Learning Coefficient.- Pattern Recognition.- Sequential Learning with LS-SVM for Large-Scale Data Sets.- A Nearest Features Classifier Using a Self-organizing Map for Memory Base Evaluation.- A Multisensor Fusion System for the Detection of Plant Viruses by Combining Artificial Neural Networks.- A Novel Connectionist-Oriented Feature Normalization Technique.- An Evolutionary Approach to Automatic Kernel Construction.- A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression.- Neural Network Clustering Based on Distances Between Objects.- Rotation-Invariant Pattern Recognition: A Procedure Slightly Inspired on Olfactory System and Based on Kohonen Network.- Pattern Classification Using Composite Features.- Visual Attention Algorithms and Architectures for Perceptional Understanding and Video Coding (Special Session).- Towards a Control Theory of Attention.- Localization of Attended Multi-feature Stimuli: Tracing Back Feed-Forward Activation Using Localized Saliency Computations.- An Attention Based Similarity Measure for Colour Images.- Learning by Integrating Information Within and Across Fixations.- Feature Conjunctions in Visual Search.- A Biologically Motivated System for Unconstrained Online Learning of Visual Objects.- Second-Order (Non-Fourier) Attention-Based Face Detection.- Requirements for the Transmission of Streaming Video in Mobile Wireless Networks.- Wavelet Based Estimation of Saliency Maps in Visual Attention Algorithms.- Vision and Image Processing (I).- Selective Tuning: Feature Binding Through Selective Attention.- Rotation Invariant Recognition of Road Signs with Ensemble of 1-NN Neural Classifiers.- Computer Aided Classification of Mammographic Tissue Using Independent Component Analysis and Support Vector Machines.- Growing Neural Gas for Vision Tasks with Time Restrictions.- A Fixed-Point Algorithm of Topographic ICA.- Image Compression by Vector Quantization with Recurrent Discrete Networks.- Vision and Image Processing (II).- Feature Extraction Using Class-Augmented Principal Component Analysis (CA-PCA).- A Comparative Study of the Objectionable Video Classification Approaches Using Single and Group Frame Features.- Human Facial Expression Recognition Using Hybrid Network of PCA and RBFN.- Extracting Motion Primitives from Natural Handwriting Data.- Including Metric Space Topology in Neural Networks Training by Ordering Patterns.- Computational Finance and Economics (Special Session).- A Technical Trading Indicator Based on Dynamical Consistent Neural Networks.- Testing the Random Walk Hypothesis with Neural Networks.- Financial Application of Neural Networks: Two Case Studies in Greece.- Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model.- Competitive and Collaborative Mixtures of Experts for Financial Risk Analysis.- Neural Computing in Energy Engineering (Special Session).- Kernel Regression Based Short-Term Load Forecasting.- Electricity Load Forecasting Using Self Organizing Maps.- A Hybrid Neural Model in Long-Term Electrical Load Forecasting.- Application of Radial Basis Function Networks for Wind Power Forecasting.- The Application of Neural Networks to Electric Power Grid Simulation.- Early Detection of Winding Faults in Windmill Generators Using Wavelet Transform and ANN Classification.- Combining Artificial Neural Networks and Heuristic Rules in a Hybrid Intelligent Load Forecast System.- New Phenemenon on Power Transformers and Fault Identification Using Artificial Neural Networks.- Applications to Biomedicine and Bioinformatics.- Neural Network Based Algorithm for Radiation Dose Evaluation in Heterogeneous Environments.- Exploring the Intrinsic Structure of Magnetic Resonance Spectra Tumor Data Based on Independent Component Analysis and Correlation Analysis.- Fusing Biomedical Multi-modal Data for Exploratory Data Analysis.- Semi-supervised Significance Score of Differential Gene Expressions.- Semi Supervised Fuzzy Clustering Networks for Constrained Analysis of Time-Series Gene Expression Data.- Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts.- Tree-Dependent Components of Gene Expression Data for Clustering.- Applications to Security and Market Analysis.- A Neural Model in Anti-spam Systems.- A Neural Model in Intrusion Detection Systems.- Improved Kernel Based Intrusion Detection System.- Testing the Fraud Detection Ability of Different User Profiles by Means of FF-NN Classifiers.- Predicting User’s Movement with a Combination of Self-Organizing Map and Markov Model.- Learning Manifolds in Forensic Data.- A Comparison of Target Customers in Asian Online Game Markets: Marketing Applications of a Two-Level SOM.- Real World Applications (I).- A Neural Network Approach to Study O3 and PM10 Concentration in Environmental Pollution.- ROC Analysis as a Useful Tool for Performance Evaluation of Artificial Neural Networks.- NewPR-Combining TFIDF with Pagerank.- A Fast Algorithm for Words Reordering Based on Language Model.- Phonetic Feature Discovery in Speech Using Snap-Drift Learning.- A New Neuro-Dominance Rule for Single Machine Tardiness Problem with Unequal Release Dates.- Real World Applications (II).- A Competitive Approach to Neural Device Modeling: Support Vector Machines.- Non-destructive Testing for Assessing Structures by Using Soft-Computing.- Neural Unit Element Application for in Use Microwave Circuitry.- An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line.- A Packet Routing Method Using Chaotic Neurodynamics for Complex Networks.