
Advances in Neural Networks -- ISNN 2011
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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
- Author Index
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