th This volume is part of the three-volume proceedings of the 20 International Conference on Arti?cial Neural Networks (ICANN 2010) that was held in Th- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually since 1991 in Europe, covering the ?eld of neurocomputing, learning systems and other related areas. As in the past 19 events, ICANN 2010 provided a distinguished, lively and interdisciplinary discussion forum for researches and scientists from around the globe. Ito?eredagoodchanceto discussthe latestadvancesofresearchandalso all the developments and applications in the area of Arti?cial Neural Networks (ANNs). ANNs provide an information processing structure inspired by biolo- cal nervous systems and they consist of a large number of highly interconnected processing elements (neurons). Each neuron is a simple processor with a limited computing capacity typically restricted to a rule for combining input signals (utilizing an activation function) in order to calculate the output one. Output signalsmaybesenttootherunitsalongconnectionsknownasweightsthatexcite or inhibit the signal being communicated. ANNs have the ability “to learn” by example (a large volume of cases) through several iterations without requiring a priori ?xed knowledge of the relationships between process parameters.
Author(s): Vladimír Olej, Petr Hájek (auth.), Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis (eds.)
Series: Lecture Notes in Computer Science 6352 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 587
Tags: Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Pattern Recognition; Information Systems Applications (incl.Internet); Image Processing and Computer Vision
Front Matter....Pages -
IF-Inference Systems Design for Prediction of Ozone Time Series: The Case of Pardubice Micro-region....Pages 1-11
Superior-Order Curvature-Corrected Voltage Reference Using a Current Generator....Pages 12-21
A Neural Network-Based Method for Affine 3D Registration of FMRI Time Series Using Fourier Space Subsets....Pages 22-31
Neural Networks Regression Inductive Conformal Predictor and Its Application to Total Electron Content Prediction....Pages 32-41
Prediction of Compaction Characteristics of Granular Soils by Neural Networks....Pages 42-45
Modelling Power Output at Nuclear Power Plant by Neural Networks....Pages 46-49
Time Series Forecasting by Evolving Artificial Neural Networks Using “Shuffle”, Cross-Validation and Ensembles....Pages 50-53
Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network....Pages 54-59
Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks....Pages 60-66
Discovery of Exogenous Variables in Data with More Variables Than Observations....Pages 67-76
Bayesian Joint Optimization for Topic Model and Clustering....Pages 77-86
An Incremental Bayesian Approach for Training Multilayer Perceptrons....Pages 87-96
Application of Semi-Bayesian Neural Networks in the Identification of Load Causing Beam Yielding....Pages 97-100
Globally Optimal Structure Learning of Bayesian Networks from Data....Pages 101-106
Action Potential Bursts Modulate the NMDA-R Mediated Spike Timing Dependent Plasticity in a Biophysical Model....Pages 107-116
Cell Microscopic Segmentation with Spiking Neuron Networks....Pages 117-126
Investigation of Brain-Computer Interfaces That Apply Sound-Evoked Event-Related Potentials....Pages 127-134
Functional Connectivity Driven by External Stimuli in a Network of Hierarchically Organized Neural Modules....Pages 135-144
Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network....Pages 145-154
Noise-Induced Collective Migration for Neural Crest Cells....Pages 155-163
Unsupervised Learning of Relations....Pages 164-173
Learning Internal Representation of Visual Context in a Neural Coding Network....Pages 174-183
Simulating Biological-Inspired Spiking Neural Networks with OpenCL....Pages 184-187
Bio-inspired Architecture for Human Detection....Pages 188-192
Multilayer and Multipathway Simulation on Retina....Pages 193-198
Analysis of Astrophysical Ice Analogs Using Regularized Alternating Least Squares....Pages 199-204
A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form....Pages 205-210
Using an Artificial Neural Network to Determine Electrical Properties of Epithelia....Pages 211-216
Machine Learning and Personalized Modeling Based Gene Selection for Acute GvHD Gene Expression Data Analysis....Pages 217-223
Supervised Associative Learning in Spiking Neural Network....Pages 224-229
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples....Pages 230-240
A Probabilistic Neural Network for Assessment of the Vesicoureteral Reflux’s Diagnostic Factors Validity....Pages 241-250
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques....Pages 251-260
Efficient Domain Decomposition for a Neural Network Learning Algorithm, Used for the Dose Evaluation in External Radiotherapy....Pages 261-266
Towards Better Receptor-Ligand Prioritization: How Machine Learning on Protein-Protein Interaction Data Can Provide Insight Into Receptor-Ligand Pairs....Pages 267-271
The DAMNED Simulator for Implementing a Dynamic Model of the Network Controlling Saccadic Eye Movements....Pages 272-281
A Model of Basal Ganglia in Saccade Generation....Pages 282-290
Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans ....Pages 291-300
Neuro-symbolic Representation of Logic Programs Defining Infinite Sets....Pages 301-304
A Model for Center-Surround Stimulus-Dependent Receptive Fields....Pages 305-310
Simple Constraints for Zero-Lag Synchronous Oscillations under STDP....Pages 311-316
Multilinear Decomposition and Topographic Mapping of Binary Tensors....Pages 317-326
Evolutionary q -Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection....Pages 327-336
Sparse Coding for Feature Selection on Genome-Wide Association Data....Pages 337-346
Self-adaptive Artificial Neural Network in Numerical Models Calibration....Pages 347-350
Measuring Adjective Spaces....Pages 351-355
Echo State Networks with Sparse Output Connections....Pages 356-361
On Estimating Mutual Information for Feature Selection....Pages 362-367
Using Correlation Dimension for Analysing Text Data....Pages 368-373
Designing Simple Nonlinear Filters Using Hysteresis of Single Recurrent Neurons for Acoustic Signal Recognition in Robots....Pages 374-383
Automatic Segmentation of Color Lip Images Based on Morphological Filter....Pages 384-387
Learning in a Unitary Coherent Hippocampus....Pages 388-394
Collaborative Filtering through SVD-Based and Hierarchical Nonlinear PCA....Pages 395-400
A Novel Tuning Method for Neural Oscillators with a Ladder-Like Structure Based on Oscillation Analysis....Pages 401-410
Ensemble-Based Methods for Cancellable Biometrics....Pages 411-414
A Privacy-Preserving Distributed and Incremental Learning Method for Intrusion Detection....Pages 415-421
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data....Pages 422-427
Modeling the Ase 20 Greek Index Using Artificial Neural Nerworks Combined with Genetic Algorithms....Pages 428-435
A Hybrid Approach for Artifact Detection in EEG Data....Pages 436-441
Improving the Scalability of Recommender Systems by Clustering Using Genetic Algorithms....Pages 442-449
A Directional Laplacian Density for Underdetermined Audio Source Separation....Pages 450-459
Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods....Pages 460-469
Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition....Pages 470-479
Variational Bayesian Image Super-Resolution with GPU Acceleration....Pages 480-489
A Novel Approach for Hardware Based Sound Localization....Pages 490-499
Color Segmentation Using Self-Organizing Feature Maps (SOFMs) Defined Upon Color and Spatial Image Space....Pages 500-510
Independent Component Analysis of Multi-channel Near-Infrared Spectroscopic Signals by Time-Delayed Decorrelation....Pages 511-520
Micro Nucleus Detection in Human Lymphocytes Using Convolutional Neural Network....Pages 521-530
Region Matching Techniques for Spatial Bag of Visual Words Based Image Category Recognition....Pages 531-540
Application of K-Means and MLP in the Automation of Matching of 2DE Gel Images....Pages 541-550
Robust Workflow Recognition Using Holistic Features and Outlier-Tolerant Fused Hidden Markov Models....Pages 551-560
A Neural Approach to Image Thresholding....Pages 561-564
Bubbles Detection on Sea Surface Images....Pages 565-568
No-Reference Video Quality Assessment Design Framework Based on Modular Neural Networks....Pages 569-574
Removing an Object from Video Sequence Algorithm Implemented on Analog CNN and DSP Microprocessors....Pages 575-580
Back Matter....Pages -
