Artificial Neural Networks – ICANN 2009: 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, Part I

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This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009.

The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.

Author(s): Alberto Guillén, Antti Sorjamaa, Gines Rubio, Amaury Lendasse, Ignacio Rojas (auth.), Cesare Alippi, Marios Polycarpou, Christos Panayiotou, Georgios Ellinas (eds.)
Series: Lecture Notes in Computer Science 5768 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009

Language: English
Pages: 1030
Tags: Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Neurosciences; Pattern Recognition; Data Mining and Knowledge Discovery; Simulation and Modeling

Front Matter....Pages -
Mutual Information Based Initialization of Forward-Backward Search for Feature Selection in Regression Problems....Pages 1-9
Kernel Learning for Local Learning Based Clustering....Pages 10-19
Projective Nonnegative Matrix Factorization with α -Divergence....Pages 20-29
Active Generation of Training Examples in Meta-Regression....Pages 30-39
A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains....Pages 40-49
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning....Pages 50-59
MINLIP: Efficient Learning of Transformation Models....Pages 60-69
Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data....Pages 70-79
Optimal Training Sequences for Locally Recurrent Neural Networks....Pages 80-89
Statistical Instance-Based Ensemble Pruning for Multi-class Problems....Pages 90-99
Robustness of Kernel Based Regression: A Comparison of Iterative Weighting Schemes....Pages 100-110
Mixing Different Search Biases in Evolutionary Learning Algorithms....Pages 111-120
Semi-supervised Learning for Regression with Co-training by Committee....Pages 121-130
An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data....Pages 131-140
Probability-Based Distance Function for Distance-Based Classifiers....Pages 141-150
Constrained Learning Vector Quantization or Relaxed k-Separability....Pages 151-160
Minimization of Quadratic Binary Functional with Additive Connection Matrix....Pages 161-170
Mutual Learning with Many Linear Perceptrons: On-Line Learning Theory....Pages 171-180
Synchrony State Generation in Artificial Neural Networks with Stochastic Synapses....Pages 181-190
Coexistence of Cell Assemblies and STDP....Pages 191-197
Controlled and Automatic Processing in Animals and Machines with Application to Autonomous Vehicle Control....Pages 198-207
Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain....Pages 208-217
A Model of Neuronal Specialization Using Hebbian Policy-Gradient with “Slow” Noise....Pages 218-228
How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition....Pages 229-238
Optimizing Generic Neural Microcircuits through Reward Modulated STDP....Pages 239-248
Calcium Responses Model in Striatum Dependent on Timed Input Sources....Pages 249-258
Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2....Pages 259-266
Hippocampus, Amygdala and Basal Ganglia Based Navigation Control....Pages 267-276
A Framework for Simulation and Analysis of Dynamically Organized Distributed Neural Networks....Pages 277-286
Continuous Attractors of Lotka-Volterra Recurrent Neural Networks....Pages 287-295
Learning Complex Population-Coded Sequences....Pages 296-305
Structural Analysis on STDP Neural Networks Using Complex Network Theory....Pages 306-314
Time Coding of Input Strength Is Intrinsic to Synapses with Short Term Plasticity....Pages 315-324
Information Processing and Timing Mechanisms in Vision....Pages 325-334
Review of Neuron Types in the Retina: Information Models for Neuroengineering....Pages 335-344
Brain Electric Microstate and Perception of Simultaneously Audiovisual Presentation....Pages 345-355
A Model for Neuronal Signal Representation by Stimulus-Dependent Receptive Fields....Pages 356-362
Area Chip Consumption by a Novel Digital CNN Architecture for Pattern Recognition....Pages 363-372
Multifold Acceleration of Neural Network Computations Using GPU....Pages 373-380
Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit....Pages 381-390
A Non-subtraction Configuration of Self-similitude Architecture for Multiple-Resolution Edge-Filtering CMOS Image Sensor....Pages 391-400
Current-Mode Computation with Noise in a Scalable and Programmable Probabilistic Neural VLSI System....Pages 401-409
Minimising Contrastive Divergence with Dynamic Current Mirrors....Pages 410-420
Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis....Pages 421-428
Image Recognition in Analog VLSI with On-Chip Learning....Pages 429-438
Behavior Modeling by Neural Networks....Pages 439-448
Statistical Parameter Identification of Analog Integrated Circuit Reverse Models....Pages 449-458
A New FGMOST Euclidean Distance Computational Circuit Based on Algebraic Mean of the Input Potentials....Pages 459-466
FPGA Implementation of Support Vector Machines for 3D Object Identification....Pages 467-474
Reconfigurable MAC-Based Architecture for Parallel Hardware Implementation on FPGAs of Artificial Neural Networks Using Fractional Fixed Point Representation....Pages 475-484
A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means....Pages 485-494
Image Theft Detection with Self-Organising Maps....Pages 495-504
Improved Kohonen Feature Map Associative Memory with Area Representation for Sequential Analog Patterns....Pages 505-514
Surface Reconstruction Method Based on a Growing Self-Organizing Map....Pages 515-524
Micro-SOM: A Linear-Time Multivariate Microaggregation Algorithm Based on Self-Organizing Maps....Pages 525-535
Identifying Clusters Using Growing Neural Gas: First Results....Pages 536-545
Hierarchical Architecture with Modular Network SOM and Modular Reinforcement Learning....Pages 546-556
Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems....Pages 557-566
Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model....Pages 567-576
Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series....Pages 577-586
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations....Pages 587-597
Height Defuzzification Method on L  ∞  Space....Pages 598-607
An Additive Reinforcement Learning....Pages 608-617
Neural Spike Suppression by Adaptive Control of an Unknown Steady State....Pages 618-627
Combined Mechanisms of Internal Model Control and Impedance Control under Force Fields....Pages 628-637
Neural Network Control of Unknown Nonlinear Systems with Efficient Transient Performance....Pages 638-647
High-Order Fuzzy Switching Neural Networks: Application to the Tracking Control of a Class of Uncertain SISO Nonlinear Systems....Pages 648-657
A Guide for the Upper Bound on the Number of Continuous-Valued Hidden Nodes of a Feed-Forward Network....Pages 658-667
Comparative Study of the CG and HBF ODEs Used in the Global Minimization of Nonconvex Functions....Pages 668-677
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study....Pages 678-687
Dynamics of Incremental Learning by VSF-Network....Pages 688-697
Kernel CMAC with Reduced Memory Complexity....Pages 698-707
Model Complexity of Neural Networks and Integral Transforms....Pages 708-717
Function Decomposition Network....Pages 718-727
Improved Storage Capacity in Correlation Matrix Memories Storing Fixed Weight Codes....Pages 728-736
Multiagent Reinforcement Learning with Spiking and Non-Spiking Agents in the Iterated Prisoner’s Dilemma....Pages 737-746
Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots....Pages 747-756
Switching Hidden Markov Models for Learning of Motion Patterns in Videos....Pages 757-766
Multimodal Belief Integration by HMM/SVM-Embedded Bayesian Network: Applications to Ambulating PC Operation by Body Motions and Brain Signals....Pages 767-778
A Neural Network Model of Metaphor Generation with Dynamic Interaction....Pages 779-788
Almost Random Projection Machine....Pages 789-798
Optimized Learning Vector Quantization Classifier with an Adaptive Euclidean Distance....Pages 799-806
Efficient Parametric Adjustment of Fuzzy Inference System Using Error Backpropagation Method....Pages 807-816
Neuro-fuzzy Rough Classifier Ensemble....Pages 817-823
Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset....Pages 824-833
An Automatic Parameter Adjustment Method of Pulse Coupled Neural Network for Image Segmentation....Pages 834-843
Pattern Identification by Committee of Potts Perceptrons....Pages 844-853
Is Primal Better Than Dual....Pages 854-863
A Fast BMU Search for Support Vector Machine....Pages 864-873
European Option Pricing by Using the Support Vector Regression Approach....Pages 874-883
Learning SVMs from Sloppily Labeled Data....Pages 884-893
The GMM-SVM Supervector Approach for the Recognition of the Emotional Status from Speech....Pages 894-903
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems....Pages 904-912
Spanning SVM Tree for Personalized Transductive Learning....Pages 913-922
Improving Text Classification Performance with Incremental Background Knowledge....Pages 923-931
Empirical Study of the Universum SVM Learning for High-Dimensional Data....Pages 932-941
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection....Pages 942-951
Understanding the Principles of Recursive Neural Networks: A Generative Approach to Tackle Model Complexity....Pages 952-963
An EM Based Training Algorithm for Recurrent Neural Networks....Pages 964-974
Modeling D st  with Recurrent EM Neural Networks....Pages 975-984
On the Quantification of Dynamics in Reservoir Computing....Pages 985-994
Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks....Pages 995-1004
Scalable Neural Networks for Board Games....Pages 1005-1014
Reservoir Size, Spectral Radius and Connectivity in Static Classification Problems....Pages 1015-1024
Back Matter....Pages -