Neural Information Processing

Name: Neural Information Processing | 18th International Conference, ICONIP 2011, Shanghai,China, November 13-17, 2011, Proceedings, Part III
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18th International Conference, ICONIP 2011, Shanghai,China, November 13-17, 2011, Proceedings, Part III

Bao-Liang Lu Liqing Zhang James Kwok(Editor)

Springer (Publisher)

Published on 12. November 2011

XXII, 790 pages

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The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011.
The 262 regular session papers presented were carefully reviewed and selected from numerous submissions.
The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction.
The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory.
The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

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Content

Intro
Title
Preface
ICONIP 2011 Organization
Table of Contents
Multi-agent Systems
Multimodal Identity Verification Based on Learning Face and Gait Cues
Introduction
Background
Multimodal Identification Scheme
Experimental Results and Discussion
Recognition Performance with PCA-Features
Recognition Accuracies with PCA-LDA Features
Conclusions and Further Scope
References
Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets
Introduction
Control Method Using Difference Signals and Multiple CAN2s
Plant Model Using Difference Signals
CAN2 Using Difference Signals and Relation to Parameter Change
GPC for Difference Signals
Iterations of Control and Learning
Switching Multiple CAN2s to Cope with Parameter Change
Numerical Experiments of Crane System
Overhead Traveling Crane System
Parameter Settings
Results and Remarks
Conclusion
References
Selective Track Fusion
Introduction
System Description
Outlier Elimination
Heuristics Function Construction
Selective Track Fusion
The Basic Idea of STF
Track State Estimation Fusion
Experimental Results and Analysis
Conclusion
References
The Bystander Effect: Agent-Based Simulation of People's Reaction to Norm Violation
Introduction
Bystander Effect
Related Work
Social Psychology
Agent-Based Simulation
Modelling Approach
Simulation Model
Case Studies
Description
Example Simulation Traces
Discussion
References
Multi Agent Carbon Trading Incorporating Human Traits and Game Theory
Introduction
The Proposed Model
Coding Trader Traits in Computer Agents
The Two Stage Trading Algorithm
Experiment Setup
Results and Discussions
Conclusions and Future Work
References
Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Control in High-Rise Buildings
Introduction
Problem Definition and Related Works
Proposed Approach
Feature Representation
Online Incremental Neural Associative Memory [12]
Experiments and Results
Conclusion
References
Emergence of Leadership in Evolving Robot Colony
Introduction
Related Works
Modeling Evolutionary Robot Colony
Overview
Social Position
Behavior Control and Evolution
Experimental Design
Assignments Design
Settings
Results and Analysis
Conclusion and Future Works
References
Emergence of Purposive and Grounded Communication through Reinforcement Learning
Introduction
Reinforcement Learning with a Neural Network
Learning of Purposive and Grounded Communication
System Architecture and Robot Control Task
Effect of Preparation Learning
Correlation between Communication Signals and Motions
Experiment
Conclusion
References
An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments
Introduction
Reinforcement Learning
Intention Estimation Levels and Their Application to Reinforcement Learning
Intention Estimation Levels
Application to Reinforcement Learning
Computer Simulation
Problem Setting
Simulation Setting
Simulation Results
Summary
References
Describing Human Identity Using Attributes
Introduction
Our Approach
Target Human Modeling and Body Attribute Learning
Appearance Attribute Model
Attribute-Loss
Experiment
Data Set
Implementation Details and Results
Conclusion
References
Visual Information of Endpoint Position Is Not Required for Prism Adaptation of Shooting Task
Introduction
Experiment 1
Apparatus
Method
Conditions
Result and Discussion
Experiment 2
Method
Conditions
Result and Discussion
Concluding Remark
References
Q-Learning with Double Progressive Widening: Application to Robotics
Introduction
Progressive Widening Q-Learning
Q-Learning Approach
Applying Double Progressive Widening to Q-Learning
Experiments
Treasure Hunt Problem
Robot Navigation in a 3D Partially Observable Environment
Conclusion
References
Natural Language Processing and Intelligent Web Information Processing
User Identification for Instant Messages
Introduction
Related Work
Verification Problem
Features
User Identification for IM Messages
Feature Selection and Extraction
Model Generation
Experiment Result
Conclusion
References
Using Hybrid Kernel Method for Question Classification in CQA
Introduction
Question Classification Problem in CQA
Category for Question Classification
Question Multi-label Classification
The Hybrid Kernel Method for Question Multi-label Classification
Polynomial Kernels
Tree Kernels
Experiment for Question Multi-label Classification
Data for Experiment
Experiment for Question Multi-label Classification
Question Paraphrase Recognition
Conclusion
References
Towards Understanding Spoken Tunisian Dialect
Introduction
Tunisian Dialect
Building Ontologies
Lexical Specification
Standardization
Formalization
Semantic Annotation
Semantic Interpretation
Results
Conclusion
References
Topic Modeling of Chinese Language Using Character-Word Relations
Introduction
Character-Word Structure in Topic Modeling
Generative Model
Likelihood
Inference
Document Likelihood
Collapsed Sampler
Estimate Topics over Chinese Characters
Experimental Studies
Data Descriptions
Extracted Topics and Document Classification
Conclusions
References
Enrichment and Reductionism: Two Approaches for Web Query Classification
Introduction
Related Work
Web Query Classification Approaches
Enrichment Approach
Reductionist Approach
Experiment
Conclusion
References
Dynamic Template Based Online Event Detection
Introduction
Dynamic Template Based Event Detection
Pre-processing of Web Document
General Framework of DTED Algorithm
Similarity Function
Experimental Setup
Datasets and Evaluation Metrics
Experiments and Discussion
Events Detection Results
DTED Algorithm Discussion
Online System for Large Scale Corpus Building
Conclusion and Future Work
References
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering
Introduction
Methods
Dimensionality Reduction
Distance Measures
K-Means Clustering
Experiments
Data and Preprocessing
Results
Conclusions
References
Diversifying Question Recommendations in Community-Based Question Answering
Introduction
Diversification Algorithm of Question Recommendation
Problem Definition
Question Recommendation Procedure
Evaluation and Discussions
Experiment Dataset and Settings
Experimental Results
Conclusions
References
Neural Encoding and Decoding
Classification of Multi-spike Trains and Its Application in Detecting Task Relevant Neural Cliques
Introduction
Multi-spike Trains Classification
Spike Train Transformation
Estimating Inhomogeneous Poisson Process
Bayesian Rules for Matching Value
Integrating Strategy
Multi-Spike Trains Classification Results
Detection of Task Relevant Neural Cliques
Discussion
References
Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning during Dreaming
Introduction
A Computational Model for Fear Extinction Learning
Simulations of Fear Extinction Learning in Dream Scenarios
Discussion
References
Simple Models for Synaptic Information Integration
Introduction
A Neuron Model with Soma and a Dendrite
A Simplified Current-Based Model
Extension to Multiple Dendrites
Conclusions
References
On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning
Introduction
The Adaptive Decision Models Addressed
Simulation Results
Evaluating Agent Models on Rationality
Discussion
References
Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition
Introduction
The Proposed epSNNr Architecture
Probabilistic Neuronal Models in the epSNNr as Extensions of the LIF Model
Preliminary Experiments on Moving Object Recognition in the epSNNr
Goals of the Experimental Study
Synthetic Video Dataset
Design of the Experiment
Experimental Results
Conclusion and Future Works
References
Nonlinear Effect on Phase Response Curve of Neuron Model
Introduction
Formulation
Spike Response Model
Analytical Derivation of PRC Using SRM
Verification Using Conductance-Based Model
Derivation of PRC of SRM
Comparison of Derived Theory Using Conductance-Based Models
Dependence of PRC on Amplitude of Perturbation Stimuli
Concluding Remarks
References
Modulations of Electric Organ Discharge and Representation of the Modulations on Electroreceptors
Introduction
Methods
Simulation Setup
Model for Calculating EOD Modulation Induced by an Object
Model of the Electrosensory Receptor Network
Results
EOD Modulations
Representation on the Receptor Network
Concluding Remarks
References
Spiking Neural PID Controllers
Introduction
The SpiNNaker Architecture
Design
Neuron Models
Neural Coding
Approximating the Functions
Parameter Fitting Algorithm
Results
Conclusions
References
Neural Network Models
Analysis on Wang's kWTA with Stochastic Output Nodes
Introduction
DNN-Based kWTA
Deterministic Output Nodes
Stochastic Output Nodes
Convergence Analysis
Energy Function
Conclusion
References
Regularizer for Co-existing of Open Weight Fault and Multiplicative Weight Noise
Introduction
Background
Objective Function, Regularizer, and Training Algorithm
Faulty Mean Prediction Error of Faulty Networks
Simulations
Fault Tolerance
Application of FMPE Formula: Selecting RBF Width
Conclusion
References
Research on a RBF Neural Network in Stereo Matching
Introduction
The RBFSM Algorithm
The RBF Neural Network
The Design of the RBFSM Algorithm
Implementation and Results
Algorithms Comparison and Parameters Setting
Standard Situation
Non-standard Situation
Conclusions
References
An Evolutionary Algorithm Based Optimization of Neural Ensemble Classifiers
Introduction
Proposed Approach
Results and Discussion
Comparative Analysis
Conclusions
References
Stability Criterion of Discrete-Time Recurrent Neural Networks with Periodic Delays
Introduction
Preliminaries
Main Results
Conclusions
References
Improved Global Robust Stability Criteria for Delayed BAM Neural Networks
Introduction
Preliminaries
Main Result
Example
References
High Order Hopfield Network with Self-feedback to Solve Crossbar Switch Problem
Introduction
Crossbar Switch Problem
Problem Description
Solving Crossbar Switch Problem Using High Order Discrete Network
Introducing Self-feedbacks to the High Order Network
Simulation Results
Summary
References
Use of a Sparse Structure to Improve Learning Performance of Recurrent Neural Networks
Introduction
Target Model
MTRNN
Introduction of Sparse Structure
Evaluation
Performance Evaluation
Measuring Sparseness
Results
Performance Evaluation
Measuring Sparseness
Discussion
Conclusion
References
Recall Time Reduction of a Morphological Associative Memory Employing a Reverse Recall
Introduction
Morphological Associative Memory: MAM
Ritter's MAM
MAM Using an Effective Kernel Design Method and a Reverse Recall
Simplified Reverse Recall Method
Experimental Result
Conclusion
References
Analyzing the Dynamics of Emotional Scene Sequence Using Recurrent Neuro-Fuzzy Network
Introduction
Methods
Overview of the Emotion Dynamic Analysis
Fuzzy-GIST as Emotional Feature at Semantic Level
Recurrent Neuro-fuzzy Network
Experiment
Conclusion and Discussion
References
Stress Classification for Gender Bias in Reading
Introduction
Reading Experiment
Experiment Set Up
ANN Classifier for Determining Gender Bias
Results and Discussion
Conclusion and Future Work
References
Self-Adjusting Feature Maps Network
Introduction
Self-Adjusting Mechanism
Learning Rule
Adaptive Network Size and Structure
Experiments
Conclusion
References
Neuromorphic Hardware and Implementations
Statistical Nonparametric Bivariate Isotonic Regression by Look-Up-Table-Based Neural Networks
Introduction
Bivariate Isotonic Regression Method
Properties of Statistical Bivariate Isotonic Regression
Look-Up Tables and Required Elementary Operations
Bivariate Isotonic Regression Algorithm
Numerical Experiment with a Real-World Data-Set
Conclusion
References
Recovery of Sparse Signal from an Analog Network Model
Introduction
Background
Recovery for Sparse Signal
Recovery from Noisy Measured Signal
Simulation Results
Conclusion
References
A VLSI Spiking Neural Network with Symmetric STDP and Associative Memory Operation
Introduction
VLSI Spiking Neural Network
Spiking Feedback Network Model with GEU
CMOS Neuron and Synapses Circuits
Symmetric STDP Circuit
VLSI Chip Design and Measurement Results
VLSI Chip Architecture and Design
Measurement Condition
Experiment Results
Conclusion
References
Method of Solving Combinatorial Optimization Problems with Stochastic Effects
Introduction
Solving Combinatorial Optimization Problems by the Higher Order Connections Network
Discrete Hysteresis Network with Higher Order Connections
Quartic Form Energy Function for Solving Combinatorial Optimization Problems
Introducing Stochastic Logic
Stochastic Logic
Modification of Update Rules
Numerical Experiments Results
Comparing with Conventional Network
Effect of the Number of Accumulation
Conclusion
References
Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model
Introduction
Generalized Asynchronous Digital Spiking Neuron
Autonomous Behaviors
Non-autonomous Behaviors
Reproduction of Various Nonlinear Responses Characteristics and Dynamic Response Behaviors
Groups of Nonlinear Response Characteristics
Inhibition Induced Dynamic Response Behaviors
Conclusion
References
Generalized PWC Analog Spiking Neuron Model and Reproduction of Fundamental Neurocomputational Properties
Introduction
Piecewise Constant Analog Spiking Neuron Model
Analysis of Typical Neuron-Like Responses
Conclusions
References
Implementation of Visual Attention System Using Artificial Retina Chip and Bottom-Up Saliency Map Model
Introduction
Bottom-Up Saliency Model
Selective Attention Model
Simplified Bottom-Up Saliency Map Model
Hardware Implementation
Field-Programmable Gate Array (FPGA) Implementation
Modified CSDN Algorithm for FPGA
Modified Normalization Algorithm for FPGA
Experiments
Conclusion
References
Event-Driven Simulation of Arbitrary Spiking Neural Networks on SpiNNaker
Introduction
SpiNNaker
Event-Driven Neural Simulation
Conclusion
References
Object Recognition
Geometry vs. Appearance for Discriminating between Posed and Spontaneous Emotions
Introduction
Evaluation Framework
Face and Fiducial Point Detection
SIFT Feature Extraction
Geometric Feature Extraction
Discriminative Texture Feature Selection
Experiments
Database
Classification Performance
Feature Importance Comparison
Conclusions
References
Towards Learning Inverse Kinematics with a Neural Network Based Tracking Controller
Introduction
Reservoir Computing
Design of the Controller
Robot Experiments
RC-Network Setup
Learning Kinematic Model
Generalization
Modulation
Conclusion
References
Enhanced Codebook Model for Real-Time Background Subtraction
Introduction
The CodeBook Model
The Proposed Model
Experimental Results and Analyses
Conclusion
References
Color Image Segmentation Based on Blocks Clustering and Region Growing
Introduction
Image Segmentation Algorithm Based on Seeds Clustering
Selected Seeds of Blocks
Seeds Dynamic Clustering
Rules for the Region Growing
Merging Unnecessary Regions
Experimental Analysis
Conclusions
References
Speed Up Spatial Pyramid Matching Using Sparse Coding with Affinity Propagation Algorithm
Introduction
Feature Extraction
Multi-level AP Framework for Codebook Construction
Experiment
Summary of Experiments
Algorithm Description
Time Cost and Annotation Accuracy Analysis
Algorithm Expansibility
Conclusion
References
Airport Detection in Remote Sensing Images Based on Visual Attention
Introduction
Improved GBVS Model
SIFT Feature
HDR Tree
Airport Detection Based on Visual Attention
Experimental Results
Conclusions
References
A Method to Construct Visual Recognition Algorithms on the Basis of Neural Activity Data
Introduction
Methods
Evaluations of the NC-Kernel Method
Discussion
References
Adaptive Colour Calibration for Object Tracking under Spatially-Varying Illumination Environments
Introduction
Review of Related Works
FCCF-HAGA Algorithm
Target Colour Angle Range Approximation
False Positive Cluster Analysis Algorithm
Experiments
Experiments Setup
Automated Colour Classifier Extraction
Robot Tracking
Results and Discussion
Colour Classification Results
Colour Classification Algorithm Comparisons
Robot Tracking Test Results
Conclusions
References
Analog-Digital Circuit for Motion Detection Based on Vertebrate Retina and Its Application to Mobile Robot
Introduction
Motion Detection Circuit
Motion Detection Model
Unit Circuit
Connection with Motion Sensor and Mobile Robot
Experimental Results
Conclusion
References
Spatial Finite Non-gaussian Mixture for Color Image Segmentation
Introduction
The Segmentation Model
Experimental Results
Conclusion
References
A Motion Detection Model Inspired by Hippocampal Function and Its FPGA Implementation
Introduction
Proposed Model for Motion Detection
FPGA Implementation
Performance Evaluation
Conclusion
References
An Automated System for the Analysis of the Status of Road Safety Using Neural Networks
Introduction
Proposed Approach
Pre-processing of Data
Segmentation of Data into Regions of Interest (ROI)
Classification of Roadside Objects and Features
Estimation of Risk Factors for All Crash Types
Experiments and Discussion
Conclusions
References
Decision Tree Based Recognition of Bangla Text from Outdoor Scene Images
Introduction
Contributions
Headline Based Text Symbol Extraction
Separation of Text Portions
Headline Removal and Zone Detection
Association between Upper and Middle-Lower Zones
Bangla Text Recognition
Decision Tree Classifier for Middle Zone Symbols
Results and Discussions
Summary and Future Scope
References
Learning Global and Local Features for License Plate Detection
Introduction
LPD with Cascaded Global and Local Features
Overview of the Proposed Framework
Probability Density Estimation of Global Features
Learning Local Features
Experiments
Improved Global Features
Stronger Local Features
Experimental Results
Conclusion
References
Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model
Introduction
Proposed System
Moving Object Detection
Object Recognition
Object Tracking
Experimental Results
Conclusion
References
Contour-Based Large Scale Image Retrieval
Introduction
Feature Extraction
Index Structure
Experiment
Conclusion
References
Visual Perception Modelling
Three Dimensional Surface Temperature Measurement System
Introduction
Measurement System
Measurement Principle
Calibration of a Camera and a Thermography
Experiment
Performance of the System
Result of the Measurement
Conclusion
References
A Markov Random Field Model for Image Segmentation Based on Gestalt Laws
Introduction
The MRF Model and Its Solution
The Cost Functions and the Quantitative Analysis of GLPO
Experimental Results
Conclusions
References
Weber's Law Based Center-Surround Hypothesis for Bottom-Up Saliency Detection
Introduction
Weber's Law Based Visual Salient Stimuli
Local Salient Stimulus
Global Salient Stimulus
The Proposed Center-Surround Hypothesis
Topology Structure of Center-Surround Profile
Center-Surround Hypothesis and Interaction
Linear Combination Strategy
Framework of our Saliency Decision
Linear Combination Strategy
Experiments and Discussion
Conclusion
References
Multi-scale Image Analysis Based on Non-Classical Receptive Field Mechanism
Introduction
Algorithm
Response of GC
Size of RF
Multi-scale Contour Detection Algorithm
Experimental Results
Distribution of RFs and Segmentation on GC
Contour Detection
Conclusions
References
Visual Constructed Representations for Object Recognition and Detection
Introduction
System Design Concept
Input Signal
Memory Representations and Recognition
Gabor Filter Construction: Additional Object Detection
A Network Model and Simulations
Gabor Wavelet
Scale Feature Correspondence Findings
Elastic Graph Matching
Simulations
Discussion
Conclusion
References
Multiview Range Image Registration Using Competitive Associative Net and Leave-One-Image-Out Cross-Validation Error
Introduction
Range Image Registration Using CAN2 and LOOCV Error
LRF Range Data
Piecewise Planes Approximated by the CAN2
Pairwise Registration Using Planes Extracted by the CAN2
Multiview Registration Using LOOCV Error
Experimental Results and Remarks
Conclusion
References
Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity
Introduction
Shared Dictionary Learning with Group Sparsity
Sparse Coding
Multi-view Dictionary Learning with Shared Latent Embedding
Inference on the Latent Embedding
Group Sparisty Induced by l1, Norm
Convex Group Sparsity
Nesterov's Optimal Gradient Scheme for l1, Regularization
Experiment
Conclusion
References
A Feature Selection Approach for Emulating the Structure of Mental Representations
Introduction
Psychological Background
Relevant Feature Reduction Methods
Our Approach
Generating Ground Truth Data - SDA
Feature Selection
Results
Conclusion
References
Super Resolution of Text Image by Pruning Outlier
Introduction
Learning Based Super Resolution and the Super Resolution Constraints
The Framework of Learning Based Super Resolution
The Degrading Constraint
The Unique Constraint of Text Image
The Outlier in Learning Based SR
The Proposed Super Resolution Method
Preprocess of Low Quality Image
Pruning the Outlier
Experiments
The Training Example
The Simulation LR Image Experiment
The Scanned Image Experiment
Conclusion
References
Integrating Local Features into Discriminative Graphlets for Scene Classification
Introduction
Region Adjacency Graph(RAG)
Discriminative Graphlets Selection
Template and Its Class Label
Selecting Discriminative Templates
Extracting Discriminative Graphlet
Discriminative Graphlets Boosting
Experimental Results and Analysis
GLFI versus Representative Local Features Integration Methods
Influence of Different Segmentation Settings
Visualization of the Discriminative Graphlets
Conclusions
References
Opponent and Feedback: Visual Attention Captured
Introduction
Motivation
Saliency Model Based on OAF
Opponent Process
Feedback Process
Experiments and Analysis
Qualitatively Evaluation
Quantitatively Evaluation
Conclusion
References
Depth from Defocus via Discriminative Metric Learning
Introduction
Related Work
Learning Discriminative Metric for DFD
Problem Formalization
Sub-gradient Descent
Recovery of Depth
Experimental Results
Experiments with Synthetic Images
Experiment with Real Images
Conclusion
References
Analysis of the Proton Mediated Feedback Signals in the Outer Plexiform Layer of Goldfish Retina
Introduction
Material and Methods
Retinal Preparation and Intracellular Recording
Light Stimulation
Estimation of Response Onset Delays
Results
Effects of HEPES on Dark Membrane Potential and Photoresponse Amplitude of H1 HCs
Effects of HEPES on Dark Membrane Potential and Photoresponse Amplitude of H2 HCs
Effects of HEPES on Dark Membrane Potential and Photoresponse Amplitude of H3 HCs
Discussion
Conclusion
References
Modeling Manifold Ways of Scene Perception
Introduction
Perceptual Manifold Model
Local Sparse Feature Encoding
Local Higher-Order Feature Encoding
Population Feature Encoding
Perceptual Space Embedding
Experiments
Perceptual Space Analysis
Scene Classification
Discussion
On the Dimensionality of Perceptual Manifold Space
Conclusion
References
Advances in Computational Intelligence Methods Based Pattern Recognition
Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients
Introduction
Therapeutic Models
Support System Utilizing Therapeutic Models
Selecting a Suitable Therapy
Comparing Predictions and Actual Observations
Tuning the Model towards Observed Patient Behavior
Simulation Results
Discussion
References
Learning Based Visibility Measuring with Images
Introduction
Principle of Measuring Visibility
Measuring Visibility Based on Image Analysis and Learning
Measurement of Local Contrast
Supervised Learning for Visibility Measuring
Experiments
Conclusions
References
Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network
Introduction
MIT Score for Dynamic Bayesian Network Learning
Optimal Dynamic Bayesian Network Structure Learning in Polynomial Time with MIT
Complexity Bound
Experimental Evaluation
Conclusion
References
A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors
Introduction
The Hybrid FMM-CART Model
Experimental Study
Experimental Results and Analysis
Conclusion
References
A Multimodal Information Collector for Content-Based Image Retrieval System
Introduction
Implementation and Operation Principles
Client Implementation
Client-Server Interaction
Gaze-Enhanced Content-Based Image Retrieval
PicSOM CBIR System
Using Gaze Patterns as Implicit Relevance Feedback
Automatic Speech Recognition
Experiments
CBIR-Assisted Image Tag Correction
Setups and Evaluations
Conclusions and Future Work
References
Graphical Lasso Quadratic Discriminant Function for Character Recognition
Introduction
Review of QDF and MQDF
Quadratic Discriminant Function
Modified Quadratic Discriminant Function
Graphical Lasso Quadratic Discriminant Function
Experimental Results
Results on Synthetic Data
Results on UCI
Results on Handwritten Digital Datasets
Results on Handwritten Chinese Character Data
Conclusion
References
Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
Introduction
Related Work
Multivariate Correlation Analysis
Multivariate Correlation Analysis Based Detection Approach
Norm Profile Generation
Attack Detection
Evaluation and Analysis
Preprocessing
Results and Analysis
Conclusions and Future Work
References
Deep Belief Networks for Financial Prediction
Introduction
Deep Learning Network Models
Experimental Setup
Results and Discussion
Conclusion and Future Work
References
Uncertainty Measure for Selective Sampling Based on Class Probability Output Networks
Introduction
Construction of Class Probability Output Networks
Uncertainty Measure for Selective Sampling
Simulation Results
The Effectiveness of Uncertainty Measure
Comparison of Recognition Performance between Different Sampling Methods
Conclusion
References
Author Index

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