Artificial neural networks - ICANN 2009 : 19th international conference, Limassol, Cyprus, September 14-17, 2009 : proceedings

Neuroinformatics and Bioinformatics.- Epileptic Seizure Prediction and the Dimensionality Reduction Problem.- Discovering Diagnostic Gene Targets and Early Diagnosis of Acute GVHD Using Methods of Computational Intelligence over Gene Expression Data.- Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data.- A Computational Retina Model and Its Self-adjustment Property.- Cognitive Machines.- Mental Simulation, Attention and Creativity.- BSDT Atom of Consciousness Model, AOCM: The Unity and Modularity of Consciousness.- Generalized Simulated Annealing and Memory Functioning in Psychopathology.- Algorithms for Structural and Dynamical Polychronous Groups Detection.- Logics and Networks for Human Reasoning.- Data Analysis and Pattern Recognition.- Simbed: Similarity-Based Embedding.- PCA-Based Representations of Graphs for Prediction in QSAR Studies.- Feature Extraction Using Linear and Non-linear Subspace Techniques.- Classification Based on Combination of Kernel Density Estimators.- Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi Method.- Newtonian Spectral Clustering.- Bidirectional Clustering of MLP Weights for Finding Nominally Conditioned Polynomials.- Recognition of Properties by Probabilistic Neural Networks.- On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification.- Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.- Kernel Alignment k-NN for Human Cancer Classification Using the Gene Expression Profiles.- Convex Mixture Models for Multi-view Clustering.- Strengthening the Forward Variable Selection Stopping Criterion.- Features and Metric from a Classifier Improve Visualizations with Dimension Reduction.- Fuzzy Cluster Validation Using the Partition Negentropy Criterion.- Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling.- Using Kernel Basis with Relevance Vector Machine for Feature Selection.- Acquiring and Classifying Signals from Nanopores and Ion-Channels.- Hand-Drawn Shape Recognition Using the SVM'ed Kernel.- Selective Attention Improves Learning.- Signal and Time Series Processing.- Multi-stage Algorithm Based on Neural Network Committee for Prediction and Search for Precursors in Multi-dimensional Time Series.- Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction.- Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering.- Transformation from Complex Networks to Time Series Using Classical Multidimensional Scaling.- Predicting the Occupancy of the HF Amateur Service with Neural Network Ensembles.- An Associated-Memory-Based Stock Price Predictor.- A Case Study of ICA with Multi-scale PCA of Simulated Traffic Data.- Decomposition Methods for Detailed Analysis of Content in ERP Recordings.- Outlier Analysis in BP/RP Spectral Bands.- ANNs and Other Machine Learning Techniques in Modelling Models' Uncertainty.- Comparison of Adaptive Algorithms for Significant Feature Selection in Neural Network Based Solution of the Inverse Problem of Electrical Prospecting.- Efficient Optimization of the Parameters of LS-SVM for Regression versus Cross-Validation Error.- Applications.- Noiseless Independent Factor Analysis with Mixing Constraints in a Semi-supervised Framework. Application to Railway Device Fault Diagnosis.- Speech Hashing Algorithm Based on Short-Time Stability.- A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis.- LS Footwear Database - Evaluating Automated Footwear Pattern Analysis.- Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips.- Connectionist Models for Formal Knowledge Adaptation.- Modeling Human Operator Controlling Process in Different Environments.- Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier.- Mental Tasks Classification for a Noninvasive BCI Application.- Municipal Creditworthiness Modelling by Radial Basis Function Neural Networks and Sensitive Analysis of Their Input Parameters.- A Comparison of Three Methods with Implicit Features for Automatic Identification of P300s in a BCI.- Neural Dynamics and Complex Systems.- Computing with Probabilistic Cellular Automata.- Delay-Induced Hopf Bifurcation and Periodic Solution in a BAM Network with Two Delays.- Response Properties to Inputs of Memory Pattern Fragments in Three Types of Chaotic Neural Network Models.- Partial Differential Equations Numerical Modeling Using Dynamic Neural Networks.- The Lin-Kernighan Algorithm Driven by Chaotic Neurodynamics for Large Scale Traveling Salesman Problems.- Quadratic Assignment Problems for Chaotic Neural Networks with Dynamical Noise.- Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics.- Approximation Capability of Continuous Time Recurrent Neural Networks for Non-autonomous Dynamical Systems.- Spectra of the Spike Flow Graphs of Recurrent Neural Networks.- Activation Dynamics in Excitable Maps: Limits to Communication Can Facilitate the Spread of Activity.- Vision and Image Processing.- Learning Features by Contrasting Natural Images with Noise.- Feature Selection for Neural-Network Based No-Reference Video Quality Assessment.- Learning from Examples to Generalize over Pose and Illumination.- Semi-supervised Learning with Constraints for Multi-view Object Recognition.- Large-Scale Real-Time Object Identification Based on Analytic Features.- Estimation Method of Motion Fields from Images by Model Inclusive Learning of Neural Networks.- Hybrid Neural Systems for Reduced-Reference Image Quality Assessment.- Representing Images with ? 2 Distance Based Histograms of SIFT Descriptors.- Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval.- Adaptable Neural Networks for Objects' Tracking Re-initialization.- Lattice Independent Component Analysis for fMRI Analysis.- Adaptive Feature Transformation for Image Data from Non-stationary Processes.- Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes.- Neuro-Evolution and Hybrid Techniques for Mobile Agents Control.- Evolving Memory Cell Structures for Sequence Learning.- Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning.- Combining Multiple Inputs in HyperNEAT Mobile Agent Controller.- Evolving Spiking Neural Parameters for Behavioral Sequences.- Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks.- Neural Control, Planning and Robotics Applications.- Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF.- An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking.- Optimizing Control by Robustly Feasible Model Predictive Control and Application to Drinking Water Distribution Systems.- Distributed Control over Networks Using Smoothing Techniques.- Trajectory Tracking of a Nonholonomic Mobile Robot Considering the Actuator Dynamics: Design of a Neural Dynamic Controller Based on Sliding Mode Theory.- Tracking with Multiple Prediction Models.- Sliding Mode Control for Trajectory Tracking Problem - Performance Evaluation.- Bilinear Adaptive Parameter Estimation in Fuzzy Cognitive Networks.- Intelligent Tools and Methods for Multimedia Annotation.- AM-FM Texture Image Analysis of the Intima and Media Layers of the Carotid Artery.- Unsupervised Clustering of Clickthrough Data for Automatic Annotation of Multimedia Content.- Object Classification Using the MPEG-7 Visual Descriptors: An Experimental Evaluation Using State of the Art Data Classifiers.- MuLVAT: A Video Annotation Tool Based on XML-Dictionaries and Shot Clustering.- Multimodal Sparse Features for Object Detection.- Critical Infrastructure Systems.- Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields.- Contributor Diagnostics for Anomaly Detection.- Indoor Localization Using Neural Networks with Location Fingerprints.- Distributed Faulty Sensor Detection in Sensor Networks.- Detection of Failures in Civil Structures Using Artificial Neural Networks.- Congestion Control in Autonomous Decentralized Networks Based on the Lotka-Volterra Competition Model.