Neural Information Processing: 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part II [Mīkstie vāki]

On the Optimization of Multiclass Support Vector Machines Dedicated to
Speech Recognition.- Time Series Prediction Method Based on LS-SVR with
Modified Gaussian RBF.- An Improved Method of Identification Based on Thermal
Palm Vein Image.- Modelling Energy Use and Fuel Consumption in Wheat
Production Using Indirect Factors and Artificial Neural Networks.- A Gaussian
Mixture Model Based System for Detection of Macula in Fundus Images.- The
Brains Sequential Parallelism: Perceptual Decision-Making and Early Sensory
Responses.- Estimating Neural Firing Rates: An Empirical Bayes Approach.-
Assessment of Financial Risk Prediction Models with Multi-criteria Decision
Making Methods.- Improving Risk Predictions by Preprocessing Imbalanced
Credit Data.- Hybrid Validation of Handwriting Process Modelling.- Off-Line
Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel.-
Bayesian Modeling of Visual Attention.- Classifier Ensemble Using a Heuristic
Learning with Sparsity and Diversity.- Optimization of SIRMs Fuzzy Model
Using Lukasiewicz Logic.- Synchronization of Hopfield Like Chaotic Neural
Networks with Structure Based Learning.- Incremental Self-Organizing Map
(iSOM) in Categorization of Visual Objects.- The Elastic Net as Visual
Category Representation: Visualisation and Classification.- A Computational
Model for Development of Post-Traumatic Stress Disorders by Hebbian
Learning.- Power-Law Scaling of Synchronization Robustly Reproduced in the
Hippocampal CA3 Slice Culture Model with Small-World Topology.- A Dynamic
Bio-inspired Model of Categorization.- Improving Support Vector Machine Using
a Stochastic Local Search for Classification in DataMining.- Variety of
Cortical Pathways Formed by Topographic Neural Projection: A Computational
Study.- Identification of Neural Network Structure from Multiple Spike
Sequences.- Time Domain Parameters for Online Feedback fNIRS-Based
Brain-ComputerInterface Systems.- Embedding Relevance Vector Machine in Fuzzy
Inference System for Energy Consumption Forecasting.- GMM-ClusterForest: A
Novel Indexing Approach for Multi-features Based Similarity Search in
High-Dimensional Spaces.- A Regularized Linear Classifier for Effective Text
Classification.- A Real-Time, Event Driven Neuromorphic System for
Goal-Directed Attentional Selection.- Analog Neural Network Approach for
Source Localization Using Time-of-Arrival Measurements.- Construction of
Decision Trees by Using Feature Importance Value for Improved Learning
Performance.- Wavelet Transform Based Consonant - Vowel (CV) Classification
Using Support Vector Machines.- Using Agent Based Modeling and Simulation for
Data Mining.- Neurodynamical Top-Down Processing during Auditory Attention.-
A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional
Reduction and Data Visualization.- Human-Like Intuitive Playing in Board
Games.- Identification of Diffusion Coefficient in Nonhomogeneous
Landscapes.- Data Discretization for Dynamic Bayesian Network Based Modeling
of Genetic Networks.- Generation of Environmental Representation of a Large
Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate
Texture Images.- An Improved Method to Calculate Phase Locking Value Based on
Hilbert-Huang Transform and Its Application.- A Novel Hierarchical
Statistical Model for Count Data Modeling and Its Application in Image
Classification.- Multitask Twin Support Vector Machines.- Bandit-Based
Structure Learning for Bayesian Network Classifiers.- Modeling the Mental
Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony
Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for
Multi-class Classification.- An Orientation Detection Model Based on Fitting
from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a
Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure
Model for Reduced-Reference Colorful Image Quality Assessment.- Validation
Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject
Classification of Speaking Modes Using fNIRS.- Temporal Finite-State
Machines: A Novel Framework for the General Class of Dynamic Networks.- A
Novel Node Splitting Criteria for Decision Trees Based on Theil Index.-
Modeling of Polycaprolactone Production from Lukasiewicz Logic.-
Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based
Learning.- Incremental Self-Organizing Map (iSOM) in Categorization of Visual
Objects.- The Elastic Net as Visual Category Representation: Visualisation
and Classification.- A Computational Model for Development of Post-Traumatic
Stress Disorders by Hebbian Learning.- Power-Law Scaling of Synchronization
Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with
Small-World Topology.- A Dynamic Bio-inspired Model of Categorization.-
Improving Support Vector Machine Using a Stochastic Local Search for
Classification in DataMining.- Variety of Cortical Pathways Formed by
Topographic Neural Projection: A Computational Study.- Identification of
Neural Network Structure from Multiple Spike Sequences.- Time Domain
Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.-
Embedding Relevance Vector Machine in Fuzzy Inference System for Energy
Consumption Forecasting.- GMM-ClusterForest: A Novel Indexing Approach for
Multi-features Based Similarity Search in High-Dimensional Spaces.- A
Regularized Linear Classifier for Effective Text Classification.- A
Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional
Selection.- Analog Neural Network Approach for Source Localization Using
Time-of-Arrival Measurements.- Construction of Decision Trees by Using
Feature Importance Value for Improved Learning Performance.- Wavelet
Transform Based Consonant - Vowel (CV) Classification Using Support Vector
Machines.- Using Agent Based Modeling and Simulation for Data Mining.-
Neurodynamical Top-Down Processing during Auditory Attention.- A Hybrid
Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and
Data Visualization.- Human-Like Intuitive Playing in Board Games.-
Identification of Diffusion Coefficient in Nonhomogeneous Landscapes.- Data
Discretization for Dynamic Bayesian Network Based Modeling of Genetic
Networks.- Generation of Environmental Representation of a Large Indoor
Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture
Images.- An Improved Method to Calculate Phase Locking Value Based on
Hilbert-Huang Transform and Its Application.- A Novel Hierarchical
Statistical Model for Count Data Modeling and Its Application in Image
Classification.- Multitask Twin Support Vector Machines.- Bandit-Based
Structure Learning for Bayesian Network Classifiers.- Modeling the Mental
Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony
Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for
Multi-class Classification.- An Orientation Detection Model Based on Fitting
from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a
Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure
Model for Reduced-Reference Colorful Image Quality Assessment.- Validation
Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject
Classification of Speaking Modes Using fNIRS.- Temporal Finite-State
Machines: A Novel Framework for the General Class of Dynamic Networks.- A
Novel Node Splitting Criteria for Decision Trees Based on Theil Index.-
Modeling of Polycaprolactone Production from -Caprolactone Using Neural
Network.- Global Reweighting and Weight Vector Based Strategy for Multiclass
Boosting.- Suppression of Functional System with Markovian Switching.-
P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law
Distributions.- A Novel Method of Sparse LeastSquares Support Vector Machines
in Class Empirical Feature Space.- Semantic De-biased Associations (SDA)
Model to Improve Ill-Structured Decision Support.- Echo State Networks and
Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series
Prediction.- Delay-Dependent Stabilization of Uncertain Distributed Systems
with Interval Time-Varying Delay.- GARF: Towards Self-optimised Random
Forests.- TaskRec: Probabilistic Matrix Factorization in Task Recommendation
in Crowdsourcing Systems.- Feature Selection for Electricity Load
Prediction.- Statistical and Machine Learning Methods for Electricity Demand
Prediction.- EnerPlan: Smart Energy Management Planning for Home Users.-
Harnessing Chaotic Activation Functions in Training Neural Network.-
Self-correcting Symmetry Detection Network.- Parallel Support Vector
Configuration for Identification of Fast Independent Components in
Morphological Patterns Derived by Cardiovasographic Analysis on the Radial
Pulse.- Energy-Based Temporal Neural Networks for Imputing Missing Values.-
Emergence of Multi-step Discrete State Transition through Reinforcement
Learning with a Recurrent Neural Network.- Collaborative Generative
Topographic Mapping.- Rule Extraction from Ensemble Methods Using Aggregated
Decision Trees.- Classification of Power Quality Disturbances Using
Artificial Neural Networks and a Logarithmically Compressed S-Transform.-
Multi-Threaded Support Vector Machines for Pattern Recognition.- A Malware
Collection and Analysis Framework Based on Darknet Traffic.- Markovian Models
for Electrical Load Prediction in Smart Buildings.- Extension of Incremental
Linear Discriminant Analysis to Online Feature Extraction under Nonstationary
Environments.- Multivariate Isotonic Regression under Tree Semi-order
Restrictions and Test in Multivariate Normal Distribution.- Consonantal
Recognition Using SVM and a Hierarchical Decision Structure Based in the
Articulatory Phonetics.- SVM-Based Just-in-Time Adaptive Classifiers.-
Machine Learning Approach to Enhance the Design of Automated Theorem
Provers.- Orthogonalized Partial Directed Coherence for Functional
Connectivity Analysis of Newborn EEG.- Classification of Working Memory Load
Using Wavelet Complexity Features of EEG Signals.



 

Lukasiewicz Logic.- Synchronization of Hopfield Like Chaotic Neural Networks
with Structure Based Learning.- Incremental Self-Organizing Map (iSOM) in
Categorization of Visual Objects.- The Elastic Net as Visual Category
Representation: Visualisation and Classification.- A Computational Model for
Development of Post-Traumatic Stress Disorders by Hebbian Learning.-
Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal
CA3 Slice Culture Model with Small-World Topology.- A Dynamic Bio-inspired
Model of Categorization.- Improving Support Vector Machine Using a Stochastic
Local Search for Classification in DataMining.- Variety of Cortical Pathways
Formed by Topographic Neural Projection: A Computational Study.-
Identification of Neural Network Structure from Multiple Spike Sequences.-
Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer
Interface Systems.- Embedding Relevance Vector Machine in Fuzzy Inference
System for Energy Consumption Forecasting.- GMM-ClusterForest: A Novel
Indexing Approach for Multi-features Based Similarity Search in
High-Dimensional Spaces.- A Regularized Linear Classifier for Effective Text
Classification.- A Real-Time, Event Driven Neuromorphic System for
Goal-Directed Attentional Selection.- Analog Neural Network Approach for
Source Localization Using Time-of-Arrival Measurements.- Construction of
Decision Trees by Using Feature Importance Value for Improved Learning
Performance.- Wavelet Transform Based Consonant - Vowel (CV) Classification
Using Support Vector Machines.- Using Agent Based Modeling and Simulation for
Data Mining.- Neurodynamical Top-DownProcessing during Auditory Attention.- A
Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional
Reduction and Data Visualization.- Human-Like Intuitive Playing in Board
Games.- Identification of Diffusion Coefficient in Nonhomogeneous
Landscapes.- Data Discretization for Dynamic Bayesian Network Based Modeling
of Genetic Networks.- Generation of Environmental Representation of a Large
Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate
Texture Images.- An Improved Method to Calculate Phase Locking Value Based on
Hilbert-Huang Transform and Its Application.- A Novel Hierarchical
Statistical Model for Count Data Modeling and Its Application in Image
Classification.- Multitask Twin Support Vector Machines.- Bandit-Based
Structure Learning for Bayesian Network Classifiers.- Modeling the Mental
Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony
Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for
Multi-class Classification.- An Orientation Detection Model Based on Fitting
from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a
Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure
Model for Reduced-Reference Colorful Image Quality Assessment.- Validation
Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject
Classification of Speaking Modes Using fNIRS.- Temporal Finite-State
Machines: A Novel Framework for the General Class of Dynamic Networks.- A
Novel Node Splitting Criteria for Decision Trees Based on Theil Index.-
Modeling of Polycaprolactone Production from -Caprolactone Using Neural
Network.- Global Reweighting and Weight Vector Based Strategy for Multiclass
Boosting.- Suppression of Functional System with Markovian Switching.-
P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law
Distributions.- A Novel Method of Sparse Least Squares Support Vector
Machines inClass Empirical Feature Space.- Semantic De-biased Associations
(SDA) Model to Improve Ill-Structured Decision Support.- Echo State Networks
and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow
Series Prediction.- Delay-Dependent Stabilization of Uncertain Distributed
Systems with Interval Time-Varying Delay.- GARF: Towards Self-optimised
Random Forests.- TaskRec: Probabilistic Matrix Factorization in Task
Recommendation in Crowdsourcing Systems.- Feature Selection for Electricity
Load Prediction.- Statistical and Machine Learning Methods for Electricity
Demand Prediction.- EnerPlan: Smart Energy Management Planning for Home
Users.- Harnessing Chaotic Activation Functions in Training Neural Network.-
Self-correcting Symmetry Detection Network.- Parallel Support Vector
Configuration for Identification of Fast Independent Components in
Morphological Patterns Derived by Cardiovasographic Analysis on the Radial
Pulse.- Energy-Based Temporal Neural Networks for Imputing Missing Values.-
Emergence of Multi-step Discrete State Transition through Reinforcement
Learning with a Recurrent Neural Network.- Collaborative Generative
Topographic Mapping.- Rule Extraction from Ensemble Methods Using Aggregated
Decision Trees.- Classification of Power Quality Disturbances Using
Artificial Neural Networks and a Logarithmically Compressed S-Transform.-
Multi-Threaded Support Vector Machines for Pattern Recognition.- A Malware
Collection and Analysis Framework Based on Darknet Traffic.- Markovian Models
for Electrical Load Prediction in Smart Buildings.- Extension of Incremental
Linear Discriminant Analysis to Online Feature Extraction under Nonstationary
Environments.- Multivariate Isotonic Regression under Tree Semi-order
Restrictions and Test in Multivariate Normal Distribution.- Consonantal
Recognition Using SVM and a Hierarchical Decision Structure Based in the
Articulatory Phonetics.- SVM-Based Just-in-Time Adaptive Classifiers.-
Machine Learning Approach toEnhance the Design of Automated Theorem Provers.-
Orthogonalized Partial Directed Coherence for Functional Connectivity
Analysis of Newborn EEG.- Classification of Working Memory Load Using Wavelet
Complexity Features of EEG Signals.