Advances in Neural Networks -- ISNN 2011

Name: Advances in Neural Networks -- ISNN 2011 | 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings, Part II
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8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Proceedings, Part II

Derong Liu Huaguang Zhang Marios Polycarpou Cesare Alippi Haibo He(Editor)

Springer (Publisher)

Published on 20. May 2011

XXII, 646 pages

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Content

Title
Preface
Organization
Table of Contents
Supervised Learning and Unsupervised Learning
Maximum Variance Sparse Mapping
Introduction
The Proposed Algorithm
The Sub-manifolds Distance
The Weights through Sparse Representation
The Locality of Sub-manifolds
Justification
Experiments
Experiment on ORL Face Database
Experiment on Tumor Gene Expressive Data
Conclusion
References
Contourlet-Based Texture Classification with Product Bernoulli Distributions
Introduction
Contourlet Transform
Proposed Texture Classification Method
Product Bernoulli Distributions
Discrepancy Measurement and K-Nearest Neighbor Classifier
Experimental Results
Performance Evaluation
Computational Cost
Conclusions
References
Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context
Introduction
The MLP and the Class Imbalance Problem
Methodology
Experimental Results
Conclusion
References
Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks
Introduction
Design Method and Algorithm
Data
Neural Network Architecture
Network Learning Algorithm
Experimental Results
Number of Hidden Neurons and Delays
Mean Squared Error
Error Autocorrelation Function
Time Series Response
Conclusions
References
One-Shot Learning of Poisson Distributions in Serial Analysis of Gene Expression
Introduction
Bayesian Averaging in the Audic-Claverie Statistic
Expected Divergence from the True Underlying Poisson Distribution
Conclusion
References
Simultaneous Model Selection and Feature Selection via BYY Harmony Learning
Introduction
Related Works
Feature Selection
Model Selection
Simultaneous Model Selection and Feature Selection
BYY Harmony Learning for Gaussian Mixtures
Proposed BYY Harmony Learning Algorithm
Experimental Results
Three Synthetic Datasets
Simulation Results
Conclusions
References
Kernel Methods and Support Vector Machines
The Characteristics Study on LBP Operator in Near Infrared Facial Image
Introduction
LBP Operator
The NIR Facial Image Capturing Camera and Facial Image Libraries
Process of Designing NIR Facial Image Capturing Camera
Facial Image Libraries
Experiments and Results
Probability Distribution of LBP in the NIR Facial Image Libraries
The Influence to LBP Resulting from Illumination Changing
Experimental Verification
Conclusions
References
Fault Diagnosis for Smart Grid with Uncertainty Information Based on Data
Introduction
Mechanism Analysis of the Impact of Distributed Generators on Fault Diagnosis
Mechanism Analysis of Fault Diagnosis with Distributed Generators
Theory of Rough Sets
Establishment of the Fault Diagnosis System for Smart Grid
Trial Operation Analysis of Fault Diagnosis on Xigaze Power System in China's Tibet
Conclusions
References
Sparse Kernel Regression for Traffic Flow Forecasting
Introduction
The Proposed Sparse Kernel Regression Model
Basic Notations
Kernel Regression
Sparse Distance Metric Learning
Sparse Metric Learning for Kernel Regression
Experiment
Data Description and Configuration
Experimental Results
Conclusion
References
Rate-Dependent Hysteresis Modeling and Compensation Using Least Squares Support Vector Machines
Introduction
LS-SVM-Based Hysteresis Modeling
LS-SVM Modeling
Simulation Studies
Controller Design and Verification
Controller Design
Controller Verification
Conclusions
References
Nomogram Visualization for Ranking Support Vector Machine
Introduction
Nomogram Visualization in Classification Problem
Nomogram Visualization for SVM
Nomogram-Based Recursive Feature Elimination (RFE)
Proposed Nomogram Visualization for Ranking SVM
Experimental Results
Conclusion
References
New Multi-class Classification Method Based on the SVDD Model
Introduction
The Preliminary SVDD Classifier
Multi-class SVDD Model
New Decision-Making Function for Multi-class SVDD Model
Experimental Results
Conclusion
References
Intelligence Statistical Process Control in Cellular Manufacturing Based on SVM
Introduction
Statistical Process Control in Cellular Manufacturing
X Control Chart in Cellular Manufacturing
Control Chart Patterns and Its Description
Basic Method of Control Chart Patterns Recognition
Basic Flow of Control Chart Patterns Recognition
Patterns Recognition Algorithm Choice
Kernel Function Choice
Simulation and Results
Training Sample and Testing Sample
SVM Parameters Optimal
Simulation Results
Conclusions
References
Morlet-RBF SVM Model for Medical Images Classification
Introduction
Wavelet Kernel
Morlet-Rbf Kernel Support Vector Machine
Evaluation Indexes for Classifier
Experimental Results and Analysis
Conclusion
References
COD Prediction for SBR Batch Processes Based on MKPCA and LSSVM Method
Introduction
Process Description
MKPCA-LSSVM Modeling
Kernel Principal Component Analysis (KPCA)
LS-SVM ( Least Square-Support Vector Machine)
MKPCA LS-SVM Modeling
Experimental Results
Conclusion
References
Mixture Models and Clustering
A Fixed-Point EM Algorithm for Straight Line Detection
Introduction
The Finite Mixture Model for Straight Line Detection
Proposed Fixed-Point EM Algorithm
Experiments Results
Conclusions
References
A Novel Classifier Ensemble Method Based on Class Weightening in Huge Dataset
Introduction
Proposed Method
Experimental Results
Conclusion
References
Network-Scale Traffic Modeling and Forecasting with Graphical Lasso
Introduction
Modeling Sparse Graphs
Problem Setup
Block Coordinate Descent (BCD) Algorithm
Graphical Lasso
Experiments
Data Description
Model Building
Selection of Parameters and Design of Neural Networks
Results
Conclusions and Future Works
References
Learning Curve Model for Torpedo Based on Neural Network
Introduction
Learning Curve
Neural Network Model
The Learning Curve Model Based on Neural Network
Example
Conclusion
References
An Efficient EM Approach to Parameter Learning of the Mixture of Gaussian Processes
Introduction
MGP and Leave-One-Out Cross-Validation Probability Decomposition
Proposed EM Algorithm for MGP
Experimental Results
Conclusions
References
Boundary Controller of the Anti-stable Fractional-Order Vibration Systems
Introduction
Theory of the Anti-stable String Vibration System
Boundary Control of the Anti-stable String Vibration System
Conclusions
References
Stochastic p-Hub Center Problem with Discrete Time Distributions
Introduction
Problem Formulation
Equivalent Mixed-Integer Programming
Solution Method
Numerical Experiments
Conclusions
References
Orthogonal Feature Learning for Time Series Clustering
Introduction
Orthogonal Features Learning
Global Structure Based Statistical Features Extraction on Time Series Data
Clustering Algorithms and Data Sets for Evaluation
Our Results and Discussion
References
A Text Document Clustering Method Based on Ontology
Introduction
Related Works
Ontology-Based Text Document Clustering
Definition Ontology
Document Preprocessing: Term Choice (DPTC)
Document Preprocessing: Concept Choice and Grand-Total (CCAG)
Logarithmic Values and Normalized Vectors
Performance Evaluation Approaches
Setting
Silhouette Coefficient
Varying Number of Features Dim and Clusters k
Conclusion
References
Visual Perception and Pattern Recognition
Visual Tracking Using Iterative Sparse Approximation
Introduction
Proposed Approach
Experimental Results
Conclusion
References
Orientation Representation and Efficiency Trade-off of a Biological Inspired Computational Vision Model
Introduction
Computational Vision Model
Unstable Part of a Ganglion Cell's Response Curve
Receptive Field of Ganglion Cells
The Definition of Ganglion Cell ``Neighbors''
The Constraint on the Size-Position Relation of Ganglion Cells
SC-Like Neurons
Efficiency Analysis with Difference Cell Distribution
Representation of the Output of SC-Like Neurons
Discussion
References
The Application of Genetic Algorithm Based Support Vector Machine for Image Quality Evaluation
Introduction
Related Works
MSE
SSIM
MS-SSIM
The Proposed Method
Experiments and Results
Conclusion
References
A Gabor Wavelet Pyramid-Based Object Detection Algorithm
Introduction
A Gabor Pyramid System
Scale Feature Correspondence to Image Resolution
Simulation Results
Discussion and Conclusion
References
Quality Evaluation of Digital Image Watermarking
Introduction
Image Quality Evaluation Methods
Quality Evaluation of Digital Watermark
Evaluation of Invisibility
Evaluation of Robustness
Evaluation of Security
Other Evaluation
Conclusions
References
Ensemble of Global and Local Features for Face Age Estimation
Introduction
Active Appearance Models
Statistical Shape Model
Statistical Texture Model
Combined Appearance Model
Gabor Feature Representation
Our Proposed Face Age Estimation Method
The Algorithm
Performance Measure
Face Aging Database
Experiment Setups
Experimental Results
Conclusions
References
A Filter Based Feature Selection Approach Using Lempel Ziv Complexity
Introduction
Lempel-Ziv Complexity
LFS
Experimental Studies
Characteristics of Datasets
Experimental Results and Comparison
Experiments by Varying Threshold Point - The Median (MD) Value
Conclusions
References
Finger-Knuckle-Print Recognition Using LGBP
Introduction
Gabor and LBP
Gabor Feature Representation
Locale Binary Pattern (LBP)
The Algorithm of the Proposed Method
Experiments
Conclusions
References
Applying ICA and SVM to Mixture Control Chart Patterns Recognition in a Process
Introduction
Methodology
Independent Component Analysis
Support Vector Machine
The Proposed ICA and SVM Model
Experimental Results
Conclusion
References
Gender Classification Using the Profile
Introduction
Related Knowledge
Independent Components Analysis
SVM
Our Proposed Method for Gender Classification
Pre-process and Profile Extraction Algorithm
Feature Extraction and Classify
Experiment Setups
Experimental Results
Conclusions
References
Face Recognition Based on Gabor Enhanced Marginal Fisher Model and Error Correction SVM
Introduction
Face Recognition Method Based on GEMFM and SVM
Gabor Feature Representation
Gabor-Based Enhanced Marginal Fisher Model
Error Correction SVM Classifier
Experiments
Summary and Further Directions
References
Facial Expression Recognition by Independent Log-Gabor Component Analysis
Introduction
Detailed Implementation
Gabor Wavelet Based Feature Extraction
Log Gabor Filters
Independent Component Log-Gabor Feature Extraction
Experiments
Database Description
Conclusions and Future Work
References
Learning Hierarchical Dictionary for Shape Patterns
Introduction
Learning Image Shape Patterns
Sparse Coding
Shift Invariant Sparse Coding
HMAX Model
Shift Invariant Sparse Coding HMAX
Hierarchical Dictionary Shape Decomposition
Sparse Spatial and Hierarchical Regularization
Hierarchical Dictionary Shape Decomposition
Experiment Results
Conclusion
References
Motion, Tracking and Object Recognition
Sparse Based Image Classification with Different Keypoints Descriptors
Introduction
Image Keypoints Extraction
Local-SRC Algorithm
Base Learning for Local-SRC Algorithm
Experiments
Experiment Dataset
Comparison of Different Descriptors for Local-SRC
Comparison of Local-SRC and Local-SRC with Base Learning
Conclusion
References
Where-What Network with CUDA: General Object Recognition and Location in Complex Backgrounds
Introduction
WWN Structure and Training/Application Procedures
Adaptive Receptive Field
Principle of the Receptive Field AdaptationMechanism
Trimmed Weights Learning
Parallelization of Network Training
Parallelization of Pre-response Computation
Parallelization of the Hebbian Learning
Parallelization of the Top-k Competition
Experiments and Results
Experiments of Receptive Field Adaption
Parallelization of WWN
Conclusion and Future Work
References
Fast Human Detection Based on Enhanced Variable Size HOG Features
Introduction
Integral HOG Feature
Enhanced Variable Size HOG
Soft Cascades
Fisher Linear Discriminative (FLD) Weak Classifier
Experiments
Experiment Setting
Evaluation in INRIA Dataset
References
A Novel Local Illumination Normalization Approach for Face Recognition
Introduction
Local Illumination Normalization Technique
Face and Illumination Model
Local Relation Map
Properties of Local Relation Map
Experimental Results and Discussions
Database
Experimental Results
Computational Complexity
Conclusions
References
Rapid Face Detection Algorithm of Color Images under Complex Background
Introduction
Segmentation of Human Face Images Based on Skin Color Information
Skin Color Model
Skin Color Segmentation
Adaptive Template Matching
Training for Face-Template
Template Scaling
Detection
Experimental Results and Conclusion
Conclusion
References
An Improvement Method for Daugman's Iris Localization Algorithm
Introduction
Daugman's Algorithm for Iris Localization
The Improved Method for Daugman's Algorithm
Finding the Inner (Pupillary) Boundary of the Iris
Finding the Outer (Limbus) Boundary of the Iris
Finding the Upper and Lower Eyelid Boundaries
Experimental Results
Conclusions
References
Fire Detection with Video Using Fuzzy c-Means and Back-Propagation Neural Network
Introduction
Features of Fire
The Proposed Fire Detection Method
Moving Region Detection
Color Segmentation of Fire Using the FCM Algorithm
Parameter Extraction Using a Discrete Wavelet Transform
Fire Identification Using Back-Propagation Neural Networks
Experimental Results
Conclusion
References
Multiple Kernel Active Learning for Facial Expression Analysis
Introduction
Overview of the Approach
MKL Prime Problem
Solving the Problem
Active Learning Scheme
Experiments
Conclusions
References
Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction
Introduction
Method
Gray Correlation Analysis Theory
Background Subtraction Method
Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction
Experimental Results
Conclusion
References
Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm
Introduction
Method
Experimental Results
Conclusion
References
Moving Object Detecting System with Phase Discrepancy
Introduction
System Overview
Canny-like Salient Area Extractor
Flaw of Non-maximal Suppression
Canny-like Salient Area Extraction Algorithm
Generation of Bounding Boxes
Connecting Salient Areas
Refining Bounding Boxes
Experiments
Experiment Setup
Results
Conclusion
References
Automation of Virtual Interview System Using the Gesture Recognition of Particle Filter
Introduction
CONDENSATION Algorithm
CONDENSATION Algorithm
Application of CONDENSATION for the Gesture Recognition
Gesture Model and Image Preprocessing
Raw Image Preprocessing
Skin Extraction
Finding Skin-Colored Blobs
Calculating the Blobs' Motion Trajectories over Time
Creating the Motion Models
Experiment Result
Conclusions
References
Natural Scene Analysis and Speech Recognition
Performance Analysis of Improved Affinity Propagation Algorithm for Image Semantic Annotation
Introduction
Image Annotation Using APRP
OAP, WAP and APRP
Applying APRP to Large Dataset
Image Semantic Annotation
Performance Analysis of APRP
Experiments
Dataset and Criteria
Experiment Result Analysis
Conclusion
References
Learning Variance Statistics of Natural Images
Introduction
Model
Learning and Results
Image Patches Classified by the Model Response
Segmentation of Statistical Similar Regions in Natural Images
Conditional Distribution of Responses
Discussion
References
Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers
Introduction
Problem Formulation
Algorithm Description
Speaker Diarization Stage
Blind Channel Identification Stage
Source Separation Stage
Speech Dereverberation Stage
Real Time Implementation
Computer Simulations
Experimental Setup and Performance Indexes
Real Time Simulations
Conclusions
References
Audio Segmentation and Classification Using a Temporally Weighted Fuzzy C-Means Algorithm
Introduction
Background Information
Fuzzy c-Means Algorithm for Audio Segmentation and Classification
Cluster Validity Functions
Audio Segmentation and Classification Using a Temporally Weighted Fuzzy c-Means Algorithm
The Proposed Temporally Weighted Fuzzy c-Means Algorithm
Audio Segmentation and Classification Using TWFCM
Experimental Results
Conclusion
References
Extracting Specific Signal from Post-nonlinear Mixture Based on Maximum Negentropy
Introduction
Problem Formulation
Proposed Method
Experiments and Discussions
Conclusion
References
A Method to Detect JPEG-Based Double Compression
Introduction
Statistical Models and Feature Mining
Characteristics and Modification
Feature Mining
Experiments
Detection of Double JPEG Compression
Compression Quality Factor, Image Complexity, and Detection Performance
Conclusions
References
Semi Supervised Learning for Prediction of Prosodic Phrase Boundaries in Chinese TTS Using Conditional Random Fields
Introduction
Conditional Random Fields (CRFs)
CRFs Based Method for Prediction of Prosodic Phrase Boundaries
Feature Selection in Prosodic Phrase Prediction
Semi-supervised Learning Algorithm
General Algorithm of Self-training
Experiment
The Experiment Corpus
The Evaluation Criteria
Results and Discussion
Results
Conclusion
References
Singer Identification Using Time-Frequency Audio Feature
Introduction
Methodology
Data Collection
Feature Extraction
Data Classification
Result
Conclusion
References
Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents
Introduction
Sensitive Artificial Listeners
The SEMAINE Database
Multi-stream LSTM-HMM
Experiments and Results
Multi-condition Training
Multi-stream Decoding
Conclusion
References
Neuromorphic Hardware, Fuzzy Neural Networks and Robotics
On Control of Hopf Bifurcation in a Class of TCP/AQM Networks
Introduction
Bifurcation Control Based on Washout filter
Numerical Examples
References
State Feedback Control Based on Twin Support Vector Regression Compensating for a Class of Nonlinear Systems
Introduction
Twin Support Vector Regression with Wavelet Kernel
Twin Support Vector Regression
Twin Support Vector Regression with Wavelet Kernel
State Feedback Control Based on TSVR Nonlinear Compensating
Simulation
Conclusion
References
Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification
Introduction
Literature Review
Structure of DFNN
Learning Principle of DFNN
Genetic Algorithm
GDFNN
Simulation and Discussion
Non Linear System Identification
Conclusions
References
Adaptive Robust NN Control of Nonlinear Systems
Introduction
System Dynamics and Preliminaries
Adaptive NN Control Design and Performance Analysis
Conclusion
References
A Generalized Online Self-constructing Fuzzy Neural Network
Introduction
Architecture of the GOSFNN
Generalized Ellipsoidal Basis Function
Architecture of the GOSFNN
Learning Scheme of the GOSFNN
Criteria of Rule Generation
Parameter Adjustment
Simulation Studies
Conclusions
References
Adaptive Fuzzy Control of an Active Vibration Isolator
Introduction
Active Vibration Isolator and Dynamic Model
Adaptive Fuzzy Controller
Computer Simulation
Conclusions
References
Fuzzy-Adaptive Fault-Tolerant Control of High Speed Train Considering Traction/Braking Faults and Nonlinear Resistive Forces
Introduction
Modeling and Problem Statement
Fuzzy Adaptive Fault-Tolerant Control Design
Takagi-Sugeno Fuzzy Systems
Fuzzy Approximator
Adaptive Laws and The Controller Design
Simulation
Conclusion
References
Robust Cascaded Control of Propeller Thrust for AUVs
Introduction
Problem Formulations
AUV and Propeller Axial Flow Dynamics
Actuator Dynamics
Cascaded System with Uncertainties
Controller Design
Feedback Linearization Design
Lyapunov Recursive Function Method
L2-Gain Design
Neural-Network Identifiers
Stability Analyses
Simulation Results
Conclusions
References
A Developmental Learning Based on Learning Automata
Introduction
Development on Psychology
Experimental Model of Developmental Robot Based on Learning Automata
The Structure and Learning Mechanism of Learning Automata
Simulation Results and Analysis
Conclusion
References
Multi-agent Systems and Adaptive Dynamic Programming
Meddler, Agents in the Bounded Confidence Model on Flocking Movement World
Introduction
The BC Models on the Flocking Movement World
Bounded Confidence Algorithm with Local Communication
Flocking Movement
Simulation and Analysis
Agent with Same Characters
Agent with Different Characters
Conclusion and Future Work
References
Statistical Optimal Control Using Neural Networks
Introduction
Problem Formulation and HJB Equation
Solution of HJB Equation Using Neural Networks
Satellite Attitude Control Applications
Conclusions and Future Work
References
Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm
Introduction
Problem Statement and Related Works
Adaptive Optimization for Kernel-Width
Basic Ideas of the Adaptive Kernel-Width Optimization
Sparsification with the Neighborhood Analysis Based on a l2-Ball of Radius e
Optimization of Kernel-width in KLSPI
Experiments and Evaluations
Conclusion
References
Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems
Introduction
Paper Preparation
Properties of the Iterative Adaptive Dynamic Programming Algorithm
Derivation of the Iterative ADP Algorithm
Properties of the Iterative ADP Algorithm
The Procedure of the Algorithm
Simulation Study
Conclusions
References
Optimal Control for a Class of Unknown Nonlinear Systems via the Iterative GDHP Algorithm
Introduction
Problem Statement
Adaptive Dynamic Programming for Neuro-Optimal Control of the Unknown Nonlinear Systems
NN System Identification of the Unknown Nonlinear Systems
Derivation of the Iterative ADP Algorithm
Convergence Analysis of the Iterative ADP Algorithm
NN Implementation of the Iterative ADP Algorithm Using GDHP Technique
Simulation Study
Conclusion
References
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Advances in Neural Networks -- ISNN 2011

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