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Artificial Neural Networks - ICANN 2007

17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Auflage 2007.…
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This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007. It features contributions related to computational neuroscience, neurocognitive stud … weiterlesen
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Titel: Artificial Neural Networks - ICANN 2007

ISBN: 3540746935
EAN: 9783540746935
17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II.
Auflage 2007.
Sprache: Englisch.
Herausgegeben von Joaquim Marques de Sá, Luis A. Alexandre, Wlodzislaw Duch
Springer-Verlag GmbH

28. August 2007 - kartoniert - XXXI

Beschreibung

This book is the second of a two-volume set that constitutes the refereed proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007. It features contributions related to computational neuroscience, neurocognitive studies, applications in biomedicine and bioinformatics, pattern recognition, self-organization, text mining and internet applications, signal and times series processing, vision and image processing, robotics, control, and more.

Inhaltsverzeichnis

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.

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