Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part II (Lecture Notes in Computer Science, 5769)

This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is divided in topical sections on neuroinformatics and bioinformatics; cognitive machines; data analysis and pattern recognition; signal and time series processing; neural dynamics and complex systems; vision and image processing; neuro-evolution and hybrid techniques for mobile agents control; neural control, planning and robotics applications; intelligent tools and methods for multimedia annotation; and critical infrastructure systems. Front Matter....Pages - Epileptic Seizure Prediction and the Dimensionality Reduction Problem....Pages 1-9 Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data....Pages 10-19 Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data....Pages 20-29 A Computational Retina Model and Its Self-adjustment Property....Pages 30-39 Mental Simulation, Attention and Creativity....Pages 40-53 BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness....Pages 54-64 Generalized Simulated Annealing and Memory Functioning in Psychopathology....Pages 65-74 Algorithms for Structural and Dynamical Polychronous Groups Detection....Pages 75-84 Logics and Networks for Human Reasoning....Pages 85-94 Simbed: Similarity-Based Embedding....Pages 95-104 PCA-Based Representations of Graphs for Prediction in QSAR Studies....Pages 105-114 Feature Extraction Using Linear and Non-linear Subspace Techniques....Pages 115-124 Classification Based on Combination of Kernel Density Estimators....Pages 125-134 Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method....Pages 135-144 Newtonian Spectral Clustering....Pages 145-154 Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials....Pages 155-164 Recognition of Properties by Probabilistic Neural Networks....Pages 165-174 On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification....Pages 175-184 Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning....Pages 185-194 Kernel Alignment k -NN for Human Cancer Classification Using the Gene Expression Profiles....Pages 195-204 Convex Mixture Models for Multi-view Clustering....Pages 205-214 Strengthening the Forward Variable Selection Stopping Criterion....Pages 215-224 Features and Metric from a Classifier Improve Visualizations with Dimension Reduction....Pages 225-234 Fuzzy Cluster Validation Using the Partition Negentropy Criterion....Pages 235-244 Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling....Pages 245-254 Using Kernel Basis with Relevance Vector Machine for Feature Selection....Pages 255-264 Acquiring and Classifying Signals from Nanopores and Ion-Channels....Pages 265-274 Hand-Drawn Shape Recognition Using the SVM’ed Kernel....Pages 275-284 Selective Attention Improves Learning....Pages 285-294 Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series....Pages 295-304 Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction....Pages 305-314 Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering....Pages 315-324 Transformation from Complex Networks to Time Series Using Classical Multidimensional Scaling....Pages 325-334 Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles....Pages 335-344 An Associated-Memory-Based Stock Price Predictor....Pages 345-357 A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data....Pages 358-367 Decomposition Methods for Detailed Analysis of Content in ERP Recordings....Pages 368-377 Outlier Analysis in BP/RP Spectral Bands....Pages 378-386 ANNs and Other Machine Learning Techniques in Modelling Models’ Uncertainty....Pages 387-396 Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting....Pages 397-405 Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error....Pages 406-415 Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis....Pages 416-425 Speech Hashing Algorithm Based on Short-Time Stability....Pages 426-434 A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis....Pages 435-444 LS Footwear Database - Evaluating Automated Footwear Pattern Analysis....Pages 445-454 Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips....Pages 455-464 Connectionist Models for Formal Knowledge Adaptation....Pages 465-474 Modeling Human Operator Controlling Process in Different Environments....Pages 475-484 Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier....Pages 485-494 Mental Tasks Classification for a Noninvasive BCI Application....Pages 495-504 Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters....Pages 505-514 A Comparison of Three Methods with Implicit Features for Automatic Identification of P300s in a BCI....Pages 515-524 Computing with Probabilistic Cellular Automata....Pages 525-533 Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays....Pages 534-543 Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models....Pages 544-551 Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks....Pages 552-562 The Lin-Kernighan Algorithm Driven by Chaotic Neurodynamics for Large Scale Traveling Salesman Problems....Pages 563-572 Quadratic Assignment Problems for Chaotic Neural Networks with Dynamical Noise....Pages 573-582 Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics....Pages 583-592 Approximation Capability of Continuous Time Recurrent Neural Networks for Non-autonomous Dynamical Systems....Pages 593-602 Spectra of the Spike Flow Graphs of Recurrent Neural Networks....Pages 603-612 Activation Dynamics in Excitable Maps: Limits to Communication Can Facilitate the Spread of Activity....Pages 613-622 Learning Features by Contrasting Natural Images with Noise....Pages 623-632 Feature Selection for Neural-Network Based No-Reference Video Quality Assessment....Pages 633-642 Learning from Examples to Generalize over Pose and Illumination....Pages 643-652 Semi–supervised Learning with Constraints for Multi–view Object Recognition....Pages 653-662 Large-Scale Real-Time Object Identification Based on Analytic Features....Pages 663-672 Estimation Method of Motion Fields from Images by Model Inclusive Learning of Neural Networks....Pages 673-683 Hybrid Neural Systems for Reduced-Reference Image Quality Assessment....Pages 684-693 Representing Images with χ 2 Distance Based Histograms of SIFT Descriptors....Pages 694-703 Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval....Pages 704-714 Adaptable Neural Networks for Objects’ Tracking Re-initialization....Pages 715-724 Lattice Independent Component Analysis for fMRI Analysis....Pages 725-734 Adaptive Feature Transformation for Image Data from Non-stationary Processes....Pages 735-744 Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes....Pages 745-754 Evolving Memory Cell Structures for Sequence Learning....Pages 755-764 Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning....Pages 765-774 Combining Multiple Inputs in HyperNEAT Mobile Agent Controller....Pages 775-783 Evolving Spiking Neural Parameters for Behavioral Sequences....Pages 784-793 Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks....Pages 794-803 Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF....Pages 804-814 An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking....Pages 815-822 Optimizing Control by Robustly Feasible Model Predictive Control and Application to Drinking Water Distribution Systems....Pages 823-834 Distributed Control over Networks Using Smoothing Techniques....Pages 835-844 Trajectory Tracking of a Nonholonomic Mobile Robot Considering the Actuator Dynamics: Design of a Neural Dynamic Controller Based on Sliding Mode Theory....Pages 845-854 Tracking with Multiple Prediction Models....Pages 855-864 Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation....Pages 865-874 Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks....Pages 875-884 AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery....Pages 885-894 Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content....Pages 895-904 Object Classification Using the MPEG-7 Visual Descriptors: An Experimental Evaluation Using State of the Art Data Classifiers....Pages 905-912 MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering....Pages 913-922 Multimodal Sparse Features for Object Detection....Pages 923-932 Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields....Pages 933-943 Contributor Diagnostics for Anomaly Detection....Pages 944-953 Indoor Localization Using Neural Networks with Location Fingerprints....Pages 954-963 Distributed Faulty Sensor Detection in Sensor Networks....Pages 964-975 Detection of Failures in Civil Structures Using Artificial Neural Networks....Pages 976-985 Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model....Pages 986-996 Back Matter....Pages - This volume is part of the two-volume proceedings of the 19th International Conf- ence on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sp- sored by the European Neural Network Society (ENNS), in cooperation with the - ternational Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intel- gence Society. This series of conferences has been held annually since 1991 in various European countries and covers the field of neurocomputing, learning systems and related areas. Artificial neural networks provide an information-processing structure inspired by biological nervous systems. They consist of a large number of highly interconnected processing elements, with the capability of learning by example. The field of artificial neural networks has evolved significantly in the last two decades, with active partici- tion from diverse fields, such as engineering, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been widely applied for pattern recognition, control, optimization, image processing, classification, signal processing, etc. Annotation This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network