Artificial Neural Networks - ICANN 2010: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III (Lecture Notes in Computer Science, 6354)

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. Front Matter....Pages - Deep Bottleneck Classifiers in Supervised Dimension Reduction....Pages 1-10 Local Modeling Classifier for Microarray Gene-Expression Data....Pages 11-20 Learning of Lateral Connections for Representational Invariant Recognition....Pages 21-30 Computational Properties of Probabilistic Neural Networks....Pages 31-40 Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix....Pages 41-51 A Learned Saliency Predictor for Dynamic Natural Scenes....Pages 52-61 Learning a Combination of Heterogeneous Dissimilarities from Incomplete Knowledge....Pages 62-71 A Bilinear Model for Consistent Topographic Representations....Pages 72-81 Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors....Pages 82-91 Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition....Pages 92-101 Visual Shape Recognition Neural Network Using BESOM Model....Pages 102-105 Comparing Feature Extraction Techniques and Classifiers in the Handwritten Letters Classification Problem....Pages 106-109 The Parameter Optimization of the Pulse Coupled Neural Network for the Pattern Recognition....Pages 110-113 The Use of Feed Forward Neural Network for Recognizing Characters of Dactyl Alphabet....Pages 114-117 Detecting DDoS Attack towards DNS Server Using a Neural Network Classifier....Pages 118-123 Classification Based on Multiple-Resolution Data View....Pages 124-129 Identification of the Head-and-Shoulders Technical Analysis Pattern with Neural Networks....Pages 130-136 Analyzing Classification Methods in Multi-label Tasks....Pages 137-142 Learning Bimanual Coordination Patterns for Rhythmic Movements....Pages 143-148 Classification of Voice Aging Using Parameters Extracted from the Glottal Signal....Pages 149-156 TopoART: A Topology Learning Hierarchical ART Network....Pages 157-167 Policy Gradients for Cryptanalysis....Pages 168-177 Linear Projection Method Based on Information Theoretic Learning....Pages 178-187 Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas....Pages 188-197 An Efficient Collaborative Recommender System Based on k -Separability....Pages 198-207 Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines....Pages 208-217 Multitask Semi–supervised Learning with Constraints and Constraint Exceptions....Pages 218-227 Tumble Tree – Reducing Complexity of the Growing Cells Approach....Pages 228-236 Sentence Extraction by Graph Neural Networks....Pages 237-246 Autonomous Generation of Internal Representations for Associative Learning....Pages 247-256 Improving Accuracy of LVQ Algorithm by Instance Weighting....Pages 257-266 Multifactor Expectation Maximization for Factor Graphs....Pages 267-276 Weighted Learning Vector Quantization to Cost-Sensitive Learning....Pages 277-281 Solution Space of Perceptron....Pages 282-285 Natural Language Processing Neural Network for Recall and Inference....Pages 286-289 Nominally Conditioned Linear Regression....Pages 290-293 A Novel Continuous Dual Mode Neural Network in Stereo-Matching Process....Pages 294-297 Learning Invariant Visual Shape Representations from Physics....Pages 298-302 Algorithms Creating Algorithms....Pages 303-308 Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap....Pages 309-314 Learning with Convex Constraints....Pages 315-320 Theoretical Analysis of Cross-Validation(CV)-EM Algorithm....Pages 321-326 Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm....Pages 327-332 Dynamic Shape Learning and Forgetting....Pages 333-338 On-Line Ensemble-Teacher Learning through a Perceptron Rule with a Margin....Pages 339-344 Model of the Hippocampal Learning of Spatio-temporal Sequences....Pages 345-351 Adding Nonlinear System Dynamics to Levenberg-Marquardt Algorithm for Neural Network Control....Pages 352-357 Some Comparisons of Model Complexity in Linear and Neural-Network Approximation....Pages 358-367 A Funny Proverb Generation System Based on Sukashi ....Pages 368-377 Supervised Neural Fuzzy Schemes in Video Transmission over Bluetooth....Pages 378-386 A Graph Based Framework for Clustering and Characterization of SOM....Pages 387-396 Clustering Using Elements of Information Theory....Pages 397-406 A Path Planning Method for Human Tracking Agents Using Variable-Term Prediction....Pages 407-410 Three-Layer Feedforward Structures Smoothly Approximating Polynomial Functions....Pages 411-416 Neural Networks Training for Weapon Selection in First-Person Shooter Games....Pages 417-422 Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data....Pages 423-428 Large Scale Problem Solving with Neural Networks: The Netflix Prize Case....Pages 429-434 A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering....Pages 435-440 A Inference Mechanism for Polymer Processing Using Rough-Neuro Fuzzy Network....Pages 441-450 Data Mining Methods for Quality Assurance in an Environmental Monitoring Network....Pages 451-456 Predicting QoL Parameters for the Atmospheric Environment in Athens, Greece....Pages 457-463 Investigating Pollen Data with the Aid of Fuzzy Methods....Pages 464-470 A New Neural Model for Traffic Simulation....Pages 471-476 System Architecture for a Smart University Building....Pages 477-482 Monitoring and Assessment of Environmental Impact by Persistent Organic Pollutants....Pages 483-488 A Feature Selection Method for Air Quality Forecasting....Pages 489-494 How Do Attention, Intention, and Consciousness Interact?....Pages 495-495 Consciousness versus Attention....Pages 496-503 On the Fringe of Awareness: The Glance-Look Model of Attention-Emotion Interactions....Pages 504-509 No Stopping and No Slowing: Removing Visual Attention with No Effect on Reversals of Phenomenal Appearance....Pages 510-515 Modelling Neurotic Psychopathology: Memory, Attention and Symbolization....Pages 516-520 How to Use the SOINN Software: User’s Guide (Version 1.0)....Pages 521-527 Unguided Robot Navigation Using Continuous Action Space....Pages 528-534 Self-Organizing Incremental Neural Network and Its Application....Pages 535-540 Machine Learning Approaches for Time-Series Data Based on Self-Organizing Incremental Neural Network....Pages 541-550 Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots....Pages 551-556 Incremental Learning Using Self-Organizing Neural Grove....Pages 557-562 Fast and Incremental Attribute Transferring and Classifying System for Detecting Unseen Object Classes....Pages 563-568 Back Matter....Pages - This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms - support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms - systems, and optimization