Artificial Neural Networks - ICANN 2007

Computational Neuroscience, Neurocognitive Studies.- A Marker-Based Model for the Ontogenesis of Routing Circuits.- A Neural Network for the Analysis of Multisensory Integration in the Superior Colliculus.- Neurotransmitter Fields.- SimBa: A Fuzzy Similarity-Based Modelling Framework for Large-Scale Cerebral Networks.- A Direct Measurement of Internal Model Learning Rates in a Visuomotor Tracking Task.- Spatial and Temporal Selectivity of Hippocampal CA3 and Its Contribution to Sequence Disambiguation.- Lateral and Elastic Interactions: Deriving One Form from Another.- Applications in Biomedicine and Bioinformatics.- A Survey on Use of Soft Computing Methods in Medicine.- Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.- Neural Network Approach for Mass Spectrometry Prediction by Peptide Prototyping.- Identifying Binding Sites in Sequential Genomic Data.- On the Combination of Dissimilarities for Gene Expression Data Analysis.- A Locally Recurrent Globally Feed-Forward Fuzzy Neural Network for Processing Lung Sounds.- Learning Temporally Stable Representations from Natural Sounds: Temporal Stability as a General Objective Underlying Sensory Processing.- Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.- Classifying EEG Data into Different Memory Loads Across Subjects.- Information Theoretic Derivations for Causality Detection: Application to Human Gait.- Pattern Recognition.- Template Matching for Large Transformations.- Fuzzy Classifiers Based on Kernel Discriminant Analysis.- An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees.- Face Recognition Using Parzenfaces.- A Comparison of Features in Parts-Based Object Recognition Hierarchies.- An Application of Recurrent Neural Networks to Discriminative Keyword Spotting.- Spatiostructural Features for Recognition of Online Handwritten Characters in Devanagari and Tamil Scripts.- An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition.- Parallel-Series Perceptrons for the Simultaneous Determination of Odor Classes and Concentrations.- Probabilistic Video-Based Gesture Recognition Using Self-organizing Feature Maps.- Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition.- Neural Mechanisms for Mid-Level Optical Flow Pattern Detection.- Data Clustering.- Split–Merge Incremental LEarning (SMILE) of Mixture Models.- Least-Mean-Square Training of Cluster-Weighted Modeling.- Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis.- Clustering Evaluation in Feature Space.- A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces.- Self-organization.- Fuzzy Labeled Self-organizing Map with Kernel-Based Topographic Map Formation.- Self-organizing Maps of Spiking Neurons with Reduced Precision of Correlated Firing.- Visualising Class Distribution on Self-organising Maps.- Self-organizing Maps with Refractory Period.- Improving the Correlation Hunting in a Large Quantity of SOM Component Planes.- A Dynamical Model for Receptive Field Self-organization in V1 Cortical Columns.- Text Mining and Internet Applications.- Meta-evolution Strategy to Focused Crawling on Semantic Web.- Automated Text Categorization Based on Readability Fingerprints.- Personalized Web Page Filtering Using a Hopfield Neural Network.- Robust Text Classification Using a Hysteresis-Driven Extended SRN.- Semi-supervised Metrics for Textual Data Visualization.- Topology Aware Internet Traffic Forecasting Using Neural Networks.- Signal and Times Series Processing.- Boosting Algorithm to Improve a Voltage Waveform Classifier Based on Artificial Neural Network.- Classification of Temporal Data Based on Self-organizing Incremental Neural Network.- Estimating the Impact of Shocks with Artificial Neural Networks.- Greedy KPCA in Biomedical Signal Processing.- The Use of Artificial Neural Networks in the Speech Understanding Model - SUM.- On Incorporating Seasonal Information on Recursive Time Series Predictors.- Can Neural Networks Learn the “Head and Shoulders“ Technical Analysis Price Pattern? Towards a Methodology for Testing the Efficient Market Hypothesis.- Sparse Least Squares Support Vector Regressors Trained in the Reduced Empirical Feature Space.- Vision and Image Processing.- Content-Based Image Retrieval by Combining Genetic Algorithm and Support Vector Machine.- Global and Local Preserving Feature Extraction for Image Categorization.- Iris Recognition for Biometric Personal Identification Using Neural Networks.- No-Reference Quality Assessment of JPEG Images by Using CBP Neural Networks.- A Bio-inspired Connectionist Approach for Motion Description Through Sequences of Images.- Color Object Recognition in Real-World Scenes.- Estimation of Pointing Poses on Monocular Images with Neural Techniques - An Experimental Comparison.- Real-Time Foreground-Background Segmentation Using Adaptive Support Vector Machine Algorithm.- Edge-Preserving Bayesian Image Superresolution Based on Compound Markov Random Fields.- Robotics, Control.- A Neurofuzzy Controller for a Single Link Flexible Manipulator.- Suboptimal Nonlinear Predictive Control with Structured Neural Models.- Neural Dynamics Based Exploration Algorithm for a Mobile Robot.- Neural Models in Computationally Efficient Predictive Control Cooperating with Economic Optimisation.- Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing.- Model Reference Control Using CMAC Neural Networks.- Real World Applications.- A Three-Stage Approach Based on the Self-organizing Map for Satellite Image Classification.- Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency.- Local Positioning System Based on Artificial Neural Networks.- An Adaptive Neuro-Fuzzy Inference System for Calculation Resonant Frequency and Input Resistance of Microstrip Dipole Antenna.- GARCH Processes with Non-parametric Innovations for Market Risk Estimation.- Forecasting Portugal Global Load with Artificial Neural Networks.- Using Genetic Algorithm to Develop a Neural-Network-Based Load Forecasting.- Separation and Recognition of Multiple Sound Source Using Pulsed Neuron Model.- Text-Independent Speaker Authentication with Spiking Neural Networks.- Interferences in the Transformation of Reference Frames During a Posture Imitation Task.- Combined Artificial Neural Network and Adaptive Neuro-Fuzzy Inference System for Improving a Short-Term Electric Load Forecasting.- A MLP Solver for First and Second Order Partial Differential Equations.- Independent Component Analysis.- A Two-Layer ICA-Like Model Estimated by Score Matching.- Testing Component Independence Using Data Compressors.- Graphs.- K-Pages Graph Drawing with Multivalued Neural Networks.- Recursive Principal Component Analysis of Graphs.- A Method to Estimate the Graph Structure for a Large MRF Model.- Emotion and Attention: Empirical Findings Neural Models (Special Session).- Neural Substructures for Appraisal in Emotion: Self-esteem and Depression.- The Link Between Temporal Attention and Emotion: A Playground for Psychology, Neuroscience, and Plausible Artificial Neural Networks.- Inferring Cognition from fMRI Brain Images.- Modelling the N2pc and Its Interaction with Value.- Biasing Neural Networks Towards Exploration or Exploitation Using Neuromodulation.- Understanding and Creating Cognitive Systems (Special Session).- A Simple Model of Cortical Activations During Both Observation and Execution of Reach-to-Grasp Movements.- A Cognitive Model That Describes the Influence of Prior Knowledge on Concept Learning.- Developing Concept Representations.- Self-perturbation and Homeostasis in Embodied Recurrent Neural Networks: A Meta-model and Some Explorations with Mechanisms for Sensorimotor Coordination.- An Oscillatory Model for Multimodal Processing of Short Language Instructions.- Towards Understanding of Natural Language: Neurocognitive Inspirations.- A Computational Model of Metaphor Understanding Consisting of Two Processes.- A Novel Novelty Detector.