Alippi C., Polycarpou M., Panayiotou C., Ellinas G. (eds.) Artificial Neural Networks, ICANN 2009, Part II

Springer, 2009. — 1034 p.19th International Conference. Limassol, Cyprus, September 14-17, 2009 Proceedings, Part II.
This volume is part of the two-volume proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), which was held in Cyprus during September 14–17, 2009. The ICANN conference is an annual meeting sponsored by the European Neural Network Society (ENNS), in cooperation with the International Neural Network Society (INNS) and the Japanese Neural Network Society (JNNS). ICANN 2009 was technically sponsored by the IEEE Computational Intelligence 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 participation 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.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 χ2 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