Neural Information Processing 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II

• Main Authors: Huang, Tingwen, Zeng, Zhigang, Li, Chuandong, Leung, Chi Sing
• Format: eBook
• Language: English
• Published: Berlin, Heidelberg Springer Berlin / Heidelberg 2012; Springer
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Neural computers-Congresses

The five volume set LNCS 7663, LNCS 7664, LNCS 7665, LNCS 7666 and LNCS 7667 constitutes the proceedings of the 19th International Conference on Neural Information Processing, ICONIP 2012, held in Doha, Qatar, in November 2012. The 423 regular session papers presented were carefully reviewed and sel...

Table of Contents:

• Conclusion and Discussion -- References -- A Dynamic Bio-inspired Model of Categorization -- Introduction -- Background -- Categorical Perception -- Competitive Dynamics -- Methodology -- Mathematical Description of DyBIC -- Learning DyBIC Design Parameters -- Demonstrative Example -- Discussions -- References -- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining -- Introduction -- Background -- Support Vector Machine -- Kernel Functions -- Stochastic Local Search -- The Proposed Approach -- Experimental Results -- The Dataset Description -- Dataset Scaling -- Performance Evaluation -- Comparison with SVM -- Further Comparisons -- Conclusion -- References -- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study -- Introduction -- Model -- Results -- Activity Propagation Patterns with Afferent Projections -- Self-organized Unit Activities over Cortical Areas -- Influence of Overlap in the Segmented and Compressed Projection -- Discussions -- References -- Identification of Neural Network Structure from Multiple Spike Sequences -- Introduction -- Spike Time Metric -- Proposed Measure -- Spike Time Metric Coefficient and Partial Spike Time Metric Coefficient -- Simulations -- Results -- Conclusions -- References -- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems -- Introduction -- High Order Moment Features -- Experiment Description -- Results and Discussions -- Motor Imagery Classification -- Person Identification -- Effect of Window Size and Window Step Parameters -- Conclusions -- References -- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting -- Introduction -- Relevance Vector Machine (RVM) -- Proposed Method -- Case Study -- Input Selection -- Time Series Analysis
• Time Series Forecasting -- Conclusion -- References -- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces -- Introduction -- EM-MDL Algorithm for GMM Based Clustering -- GMM Based Clustering -- EM-MDL Algorithm -- GMM-ClusterForest -- Construction -- Multi-features Based Similarity Search -- Experimental Results -- Datasets -- Accuracy of Similar Image Search -- Efficiency of Similar Image Search -- Conclusions -- References -- A Regularized Linear Classifierfor Effective Text Classification -- Introduction -- Background Theory -- Support Vector Machine -- Naïve Bayes Classification -- Zipf's Law -- State-of-the-Art -- Regularized Linear Classifier -- Experiments and Results -- Discussion -- Conclusion -- References -- Real-Time, Event-Driven Neuromorphic System for Goal-Directed Attentional Selection -- Introduction -- Methods -- Hardware Setup -- Network Description -- Results -- Experiment I: Tuning Curves for Stimuli in Isolation -- Experiment II: Visual Selection Task -- Discussion and Conclusion -- References -- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements -- Introduction -- Background -- Lagrange Programming Neural Networks -- TOA-Based Localization -- Neural Model for ML Estimation -- Simulation Results -- Convergence Time -- Benchmark Test 1: Fixed Source Location -- Benchmark Test 2: Random Source Location -- Conclusion -- References -- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance -- Introduction -- Preliminary Background -- Decision Trees -- Feature Importance Aided Learning -- Importance Aided Decision Tree -- Derivation with True Importance Value -- Derivation with Approximate Importance Value -- Empirical Evaluation -- Synthetic Data Sets -- Experiments on UCI Data Sets
• Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity -- Introduction -- Sparsity and Diversity Learning -- Problem Statement for Classifier Ensemble -- Sparsity and Diversity -- Heuristic Learning Algorithm -- Experiments -- Conclusion -- References -- Optimization of SIRMs Fuzzy Model Using Lukasiewicz Logic -- Introduction -- Fuzzy Control -- Nonlinear Feedback Control -- Performance Functional -- Single Input Rule Modules Connected Fuzzy Inference Model -- Compactness of a Family of Sets of Membership Functions -- Continuity of Approximate Reasoning and Its Application -- Conclusion -- References -- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning -- Introduction -- Problem Formulation and Preliminaries -- Structure Based Learning -- Numerical Solution of StIEP -- Tuning Mechanism -- Simulation Results -- Conclusions -- References -- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects -- Introduction -- Categorization of Visual Objects -- Incremental SOM -- Concluding Remarks -- References -- The Elastic Net as Visual Category Representation: Visualisation and Classification -- Introduction -- Elastic Net -- Using the EN as a Visual Category Representation -- New Recognition Framework -- Experimental Setup -- Discussion -- Conclusion -- References -- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning -- Introduction -- Description of the Computational Model -- Simulation Experiments -- Discussion -- References -- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology -- Introduction -- Materials and Methods -- Power-Law Scaling of Synchronization in CA3 Slice Culture -- Reproducibility of the Power-Law Scaling -- CA3 Slice Culture Model -- Results
• Intro -- Title -- Preface -- Organization -- Table of Contents - Part II -- Session 2: Neural Modeling -- On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition -- Introduction -- Support Vector Machines -- Genetic Algorithms for Instance and Feature Selections -- Datasets and Software -- Results and Discussion -- Conclusion -- References -- Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF -- Introduction -- Modified Gaussian RBF -- Time Series Prediction Experiments and Analysis -- Prediction Estimation Criterion -- Simulation Experiment and Analysis -- Application Experiment and Analysis -- Conclusions -- References -- An Improved Method of Identification Based on Thermal Palm Vein Image -- Introduction -- Methods -- Image Acquisition -- Image Enhancement -- Image Segmentation -- Image Skeletonization -- Recognition and Matching -- Experimental Results -- Conclusion -- References -- Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks -- Introduction -- Research Methods -- Research Condition -- Energy Use -- Fuel Consumption -- Data Selection -- Modelling -- Results -- Energy Model -- Fuel Model -- Conclusion -- References -- A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images -- Introduction -- Experimental Methodology -- MESSIDOR Database -- Preprocessing -- Optic Disc Detection -- Blood Vessel Segmentation -- Macula Detection -- Experimental Results -- Conclusion -- References -- The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses -- Introduction -- Model Neurons -- Modeling the Dynamics of Decision-Making -- Modeling Individual Decision Steps -- Cascaded Decisions and Early Cortical Areas' Role -- Search and Trace Task
• Sequential Control Using Productions -- Sequential Productions to Solve a Multi-step Decision Task -- Discussion and Conclusion -- References -- Estimating Neural Firing Rates:An Empirical Bayes Approach -- Introduction -- Inhomogeneous Gamma Process -- Empirical Bayes Method -- Path Integral Analysis -- Evaluation of the Marginal Likelihood -- Results -- Discussion -- References -- Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods -- Introduction -- Evaluation Criteria in Credit Risk Prediction Problems -- Multiple Criteria Decision Making -- TOPSIS Method -- PROMETHEE Method -- Experimental Setup -- Results -- Conclusions -- References -- Improving Risk Predictions by Preprocessing Imbalanced Credit Data -- Introduction -- Resampling Strategies for Handling Imbalanced Data Sets -- Over-Sampling -- Under-Sampling -- Experiments and Databases -- Results and Discussion -- Conclusions -- References -- Hybrid Validation of Handwriting Process Modelling -- Introduction -- Experimental Study Description -- Conventional and Unconventional Direct Models -- RBF Neural Network Proposed Model -- Recursive Least Squares Algorithm Proposed Model -- Conventional and Unconventional Inverse Models -- RBF Neural Network Proposed Model -- Recursive Least Squares Algorithm Proposed Model -- Hybrid Validation of the Proposed Models -- First Hybrid Validation Model -- Second Hybrid Validation Model -- Conclusion -- References -- Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel -- Introduction -- Related Work -- Support Vector Machines -- Experiment -- Database -- Result and Discussion -- Conclusion -- References -- Bayesian Modeling of Visual Attention -- Introduction -- Bayesian Modeling of Visual Attention -- Visual Saliency and Implementation -- Results -- Conclusion -- References
• Conclusion