Neural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings. Part II / Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil (eds.).

By: (20th : ICONIP (Conference) (20th : 2013 : Taegu, Korea)
Contributor(s): Lee, Minho [editor.]
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 8227.; LNCS sublibrary: Publisher: Heidelberg : Springer, 2013Description: 1 online resource (xviii, 776 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783642420429; 3642420427; 3642420419; 9783642420412; 9783642420511; 3642420516Other title: ICONIP 2013Subject(s): Neural networks (Computer science) -- Congresses | Neural Networks, Computer | Neural networks (Computer science) | Engineering & Applied Sciences | Electrical & Computer Engineering | Electrical Engineering | Computer ScienceGenre/Form: Congress. | Electronic books. | Ebook. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.3/2 LOC classification: QA76.87Online resources: Click here to access online
Contents:
An Improved ISOMAP for Visualization and Classification of Multiple Manifolds -- Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization -- A Median Variant of Generalized Learning Vector Quantization -- MISUP: Multiple-Instance Learning via Immunological Suppression Mechanism -- Contextual Bandits for Context-Based Information Retrieval -- Density Estimation Method Based on Self-organizing Incremental Neural Networks and Error Estimation -- Genetic Network Programming with Simplified Genetic Operators -- Hierarchical Clustering for Local Time Series Forecasting -- Multi-regularization for Fuzzy Co-clustering -- Dynamic Ensemble of Ensembles in Nonstationary Environments -- Improvement of the Relaxation Procedure in Concurrent Q-Learning -- Modularity Embedding -- Modularity Segmentation -- Brand-Centric Recommendation with Inter-brand Similarities.
Flexible Nonparametric Kernel Learning with Different Loss Functions -- Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification -- Training Neural Networks with Implicit Variance -- One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally -- Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition -- Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation -- Supporting Fuzzy-Rough Sets in the Dendritic Cell Algorithm Data Pre-processing Phase -- Improving the Efficiency of Spiking Network Learning -- Robust Fast Online Multivariate Non-parametric Density Estimator -- Digital Dynamical Systems of Spike-Trains -- Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification -- Nonnegative Source Separation with Expansive Nonlinearity: Comparison with the Primary Visual Cortex.
Deep Relational Machines -- Online Incremental Structure Learning of Sum-Product Networks -- Kernel Polarization Based on Cooperative Clustering -- Estimation Methods of Presumed Income -- Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems -- An Entropy Based Method for Causal Discovery in Linear Acyclic Model -- Similarity Measures for Link Prediction Using Power Law Degree Distribution -- Optimal Pair of Coupling Function and STDP Window Function for Auto-associative Memory -- Using Discriminative Phrases for Text Categorization -- A Random Block Coordinate Descent Method for Multi-label Support Vector Machine -- Generalization Ability of Chaotic Complex-Valued Multidirectional Associative Memory with Adaptive Scaling Factor -- Improved Multi-class Support Vector Machines Using Novel Methods of Model Selection and Feature Extraction -- Restricted Boltzmann Machine with Adaptive Local Hidden Units.
Smooth Spatial Filter for Common Spatial Patterns-- Multiple Timescale Recurrent Neural Network with Slow Feature Analysis for Efficient Motion Recognition -- A Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms for Protein Structure Prediction Problem -- Incremental Learning on a Budget and Its Application to Power Electronics -- Using Similarity between Paired Instances to Improve Multiple-Instance Learning via Embedded Instance Selection -- Interactive Hybrid Systems for Monitoring and Optimization of Micro- and Nano-machining Processes -- Deep Neural Networks for Source Code Author Identification -- Desert Vehicle Detection Based on Adaptive Visual Attention and Neural Network -- An Integrated Intelligent Technique for Monthly Rainfall Spatial Interpolation in the Northeast Region of Thailand -- GPU Accelerated Spherical K-Means Training.
Online Learning: Searching for the Best Forgetting Strategy under Concept Drift -- Investigating Facial Features for Identification of Emotions -- Regularly Frequent Patterns Mining from Sensor Data Stream -- Deep Learning Approaches for Link Prediction in Social Network Services -- Spectrum Intensity Ratio and Thresholding Based SSVEP Detection -- Enhanced Hand Shape Identification Using Random Forests -- A Novel Application of Particle Swarm Optimisation to Optimal Trade Execution -- Stock Price Prediction Based on Hierarchical Structure of Financial Networks -- Opinion Based Search Ranking -- A Service-Oriented Approach with Neural Networks and Knowledge Ontologies for Robot Control -- A New Gene Expression Profiles Classifying Approach Based on Neighborhood Rough Set and Probabilistic Neural Networks Ensemble -- A New Hybrid Approach for Medical Image Intelligent Classifying Using Improved Wavelet Neural Network.
Enhancing SOM Based Visualization Methods for Better Data Navigation -- Classification of Physiological Sensor Signals Using Artificial Neural Networks -- Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings -- A Novel Hybrid SCH-ABC Approach for the Frequency Assignment Problem -- Capturing Geographical Influence in POI Recommendations -- An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach -- A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction -- EEG Based Coherence Analysis for Identifying Inter Individual Differences in Language and Logic Study -- A Study on the Feasibility of Using EEG Signals for Authentication Purpose -- Learning to Detect Frame Synchronization -- Reinforced Explorit on Optimizing Vehicle Powertrains.
Decoding and Predicting Implicit Agreeing/Disagreeing Intention Based on Electroencephalography (EEG) -- A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System -- Control of an Inverted Pendulum Using the NeuraBase Network Model -- On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model -- Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient -- EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features -- A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees -- Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy An Algorithm for Parallelizing Sequential Minimal Optimization -- Estimation of the Wetted Bulb Irrigation Drip through the Use of Neural Networks.
Investigation of the Predictability of Steel Manufacturer Stock Price Movements Using Particle Swarm Optimisation -- SVM Analysis of Haemophilia A by Using Protein Structure -- An Innovative Fingerprint Feature Representation Method to Facilitate Authentication Using Neural Networks -- Application of the Dynamic Binary Neural Network to Switching Circuits -- Stock Price Prediction Based on a Network with Gaussian Kernel Functions -- Enhanced GPU Accelerated K-Means Algorithm for Gene Clustering Based on a Merging Thread Strategy -- Multimodal Feature Learning for Gait Biometric Based Human Identity Recognition -- Embedded System for Human Augmented Cognition Based on Face Selective Attention Using Eye Gaze Tracking -- Feature Selection for Stock Market Analysis -- Hierarchical Classification of Vehicle Images Using NN with Conditional Adaptive Distance -- An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones -- Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps.
Summary: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms, and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies; and novel approaches and applications.
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International conference proceedings.

Includes author index.

An Improved ISOMAP for Visualization and Classification of Multiple Manifolds -- Probability of Perfect Reconstruction of Pareto Set in Multi-Objective Optimization -- A Median Variant of Generalized Learning Vector Quantization -- MISUP: Multiple-Instance Learning via Immunological Suppression Mechanism -- Contextual Bandits for Context-Based Information Retrieval -- Density Estimation Method Based on Self-organizing Incremental Neural Networks and Error Estimation -- Genetic Network Programming with Simplified Genetic Operators -- Hierarchical Clustering for Local Time Series Forecasting -- Multi-regularization for Fuzzy Co-clustering -- Dynamic Ensemble of Ensembles in Nonstationary Environments -- Improvement of the Relaxation Procedure in Concurrent Q-Learning -- Modularity Embedding -- Modularity Segmentation -- Brand-Centric Recommendation with Inter-brand Similarities.

Flexible Nonparametric Kernel Learning with Different Loss Functions -- Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification -- Training Neural Networks with Implicit Variance -- One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally -- Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition -- Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation -- Supporting Fuzzy-Rough Sets in the Dendritic Cell Algorithm Data Pre-processing Phase -- Improving the Efficiency of Spiking Network Learning -- Robust Fast Online Multivariate Non-parametric Density Estimator -- Digital Dynamical Systems of Spike-Trains -- Supervised Multiple Timescale Recurrent Neuron Network Model for Human Action Classification -- Nonnegative Source Separation with Expansive Nonlinearity: Comparison with the Primary Visual Cortex.

Deep Relational Machines -- Online Incremental Structure Learning of Sum-Product Networks -- Kernel Polarization Based on Cooperative Clustering -- Estimation Methods of Presumed Income -- Online Model-Free RLSPI Algorithm for Nonlinear Discrete-Time Non-affine Systems -- An Entropy Based Method for Causal Discovery in Linear Acyclic Model -- Similarity Measures for Link Prediction Using Power Law Degree Distribution -- Optimal Pair of Coupling Function and STDP Window Function for Auto-associative Memory -- Using Discriminative Phrases for Text Categorization -- A Random Block Coordinate Descent Method for Multi-label Support Vector Machine -- Generalization Ability of Chaotic Complex-Valued Multidirectional Associative Memory with Adaptive Scaling Factor -- Improved Multi-class Support Vector Machines Using Novel Methods of Model Selection and Feature Extraction -- Restricted Boltzmann Machine with Adaptive Local Hidden Units.

Smooth Spatial Filter for Common Spatial Patterns-- Multiple Timescale Recurrent Neural Network with Slow Feature Analysis for Efficient Motion Recognition -- A Comparison between Artificial Bee Colony and Particle Swarm Optimization Algorithms for Protein Structure Prediction Problem -- Incremental Learning on a Budget and Its Application to Power Electronics -- Using Similarity between Paired Instances to Improve Multiple-Instance Learning via Embedded Instance Selection -- Interactive Hybrid Systems for Monitoring and Optimization of Micro- and Nano-machining Processes -- Deep Neural Networks for Source Code Author Identification -- Desert Vehicle Detection Based on Adaptive Visual Attention and Neural Network -- An Integrated Intelligent Technique for Monthly Rainfall Spatial Interpolation in the Northeast Region of Thailand -- GPU Accelerated Spherical K-Means Training.

Online Learning: Searching for the Best Forgetting Strategy under Concept Drift -- Investigating Facial Features for Identification of Emotions -- Regularly Frequent Patterns Mining from Sensor Data Stream -- Deep Learning Approaches for Link Prediction in Social Network Services -- Spectrum Intensity Ratio and Thresholding Based SSVEP Detection -- Enhanced Hand Shape Identification Using Random Forests -- A Novel Application of Particle Swarm Optimisation to Optimal Trade Execution -- Stock Price Prediction Based on Hierarchical Structure of Financial Networks -- Opinion Based Search Ranking -- A Service-Oriented Approach with Neural Networks and Knowledge Ontologies for Robot Control -- A New Gene Expression Profiles Classifying Approach Based on Neighborhood Rough Set and Probabilistic Neural Networks Ensemble -- A New Hybrid Approach for Medical Image Intelligent Classifying Using Improved Wavelet Neural Network.

Enhancing SOM Based Visualization Methods for Better Data Navigation -- Classification of Physiological Sensor Signals Using Artificial Neural Networks -- Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings -- A Novel Hybrid SCH-ABC Approach for the Frequency Assignment Problem -- Capturing Geographical Influence in POI Recommendations -- An Efficient Clustering Method for Massive Dataset Based on DC Programming and DCA Approach -- A Knowledge-Based Initial Population Generation in Memetic Algorithm for Protein Structure Prediction -- EEG Based Coherence Analysis for Identifying Inter Individual Differences in Language and Logic Study -- A Study on the Feasibility of Using EEG Signals for Authentication Purpose -- Learning to Detect Frame Synchronization -- Reinforced Explorit on Optimizing Vehicle Powertrains.

Decoding and Predicting Implicit Agreeing/Disagreeing Intention Based on Electroencephalography (EEG) -- A New On-Line Learning Method for Coping with Recurring Concepts: The ADACC System -- Control of an Inverted Pendulum Using the NeuraBase Network Model -- On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model -- Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient -- EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features -- A Hybrid Cancer Prognosis System Based on Semi-Supervised Learning and Decision Trees -- Protein Structure Prediction with a New Composite Measure of Diversity and Memory-Based Diversification Strategy An Algorithm for Parallelizing Sequential Minimal Optimization -- Estimation of the Wetted Bulb Irrigation Drip through the Use of Neural Networks.

Investigation of the Predictability of Steel Manufacturer Stock Price Movements Using Particle Swarm Optimisation -- SVM Analysis of Haemophilia A by Using Protein Structure -- An Innovative Fingerprint Feature Representation Method to Facilitate Authentication Using Neural Networks -- Application of the Dynamic Binary Neural Network to Switching Circuits -- Stock Price Prediction Based on a Network with Gaussian Kernel Functions -- Enhanced GPU Accelerated K-Means Algorithm for Gene Clustering Based on a Merging Thread Strategy -- Multimodal Feature Learning for Gait Biometric Based Human Identity Recognition -- Embedded System for Human Augmented Cognition Based on Face Selective Attention Using Eye Gaze Tracking -- Feature Selection for Stock Market Analysis -- Hierarchical Classification of Vehicle Images Using NN with Conditional Adaptive Distance -- An Effective Retrieval Method with Semantic Networks for Mobile Life-Log of Smartphones -- Distance Metrics for Time-Series Data with Concentric Multi-Sphere Self Organizing Maps.

The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms, and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies; and novel approaches and applications.

Online resource; title from PDF title page (SpringerLink, viewed November 4, 2013).

English.

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