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Advances in Neural Networks – ISNN 2011

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Table of Contents

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    Book Overview
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    Chapter 1 Maximum Variance Sparse Mapping
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    Chapter 2 Contourlet-Based Texture Classification with Product Bernoulli Distributions
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    Chapter 3 Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context
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    Chapter 4 Prediction of Urban Stormwater Runoff in Chesapeake Bay Using Neural Networks
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    Chapter 5 One-Shot Learning of Poisson Distributions in Serial Analysis of Gene Expression
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    Chapter 6 Simultaneous Model Selection and Feature Selection via BYY Harmony Learning
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    Chapter 7 The Characteristics Study on LBP Operator in Near Infrared Facial Image
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    Chapter 8 Fault Diagnosis for Smart Grid with Uncertainty Information Based on Data
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    Chapter 9 Sparse Kernel Regression for Traffic Flow Forecasting
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    Chapter 10 Rate-Dependent Hysteresis Modeling and Compensation Using Least Squares Support Vector Machines
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    Chapter 11 Nomogram Visualization for Ranking Support Vector Machine
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    Chapter 12 New Multi-class Classification Method Based on the SVDD Model
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    Chapter 13 Intelligence Statistical Process Control in Cellular Manufacturing Based on SVM
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    Chapter 14 Morlet-RBF SVM Model for Medical Images Classification
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    Chapter 15 COD Prediction for SBR Batch Processes Based on MKPCA and LSSVM Method
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    Chapter 16 A Fixed-Point EM Algorithm for Straight Line Detection
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    Chapter 17 A Novel Classifier Ensemble Method Based on Class Weightening in Huge Dataset
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    Chapter 18 Network-Scale Traffic Modeling and Forecasting with Graphical Lasso
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    Chapter 19 Learning Curve Model for Torpedo Based on Neural Network
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    Chapter 20 An Efficient EM Approach to Parameter Learning of the Mixture of Gaussian Processes
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    Chapter 21 Boundary Controller of the Anti-stable Fractional-Order Vibration Systems
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    Chapter 22 Stochastic p -Hub Center Problem with Discrete Time Distributions
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    Chapter 23 Orthogonal Feature Learning for Time Series Clustering
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    Chapter 24 A Text Document Clustering Method Based on Ontology
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    Chapter 25 Visual Tracking Using Iterative Sparse Approximation
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    Chapter 26 Orientation Representation and Efficiency Trade-off of a Biological Inspired Computational Vision Model
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    Chapter 27 The Application of Genetic Algorithm Based Support Vector Machine for Image Quality Evaluation
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    Chapter 28 A Gabor Wavelet Pyramid-Based Object Detection Algorithm
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    Chapter 29 Quality Evaluation of Digital Image Watermarking
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    Chapter 30 Ensemble of Global and Local Features for Face Age Estimation
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    Chapter 31 A Filter Based Feature Selection Approach Using Lempel Ziv Complexity
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    Chapter 32 Finger-Knuckle-Print Recognition Using LGBP
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    Chapter 33 Applying ICA and SVM to Mixture Control Chart Patterns Recognition in a Process
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    Chapter 34 Gender Classification Using the Profile
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    Chapter 35 Face Recognition Based on Gabor Enhanced Marginal Fisher Model and Error Correction SVM
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    Chapter 36 Facial Expression Recognition by Independent Log-Gabor Component Analysis
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    Chapter 37 Learning Hierarchical Dictionary for Shape Patterns
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    Chapter 38 Sparse Based Image Classification with Different Keypoints Descriptors
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    Chapter 39 Where-What Network with CUDA: General Object Recognition and Location in Complex Backgrounds
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    Chapter 40 Fast Human Detection Based on Enhanced Variable Size HOG Features
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    Chapter 41 A Novel Local Illumination Normalization Approach for Face Recognition
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    Chapter 42 Rapid Face Detection Algorithm of Color Images under Complex Background
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    Chapter 43 An Improvement Method for Daugman’s Iris Localization Algorithm
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    Chapter 44 Fire Detection with Video Using Fuzzy c-Means and Back-Propagation Neural Network
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    Chapter 45 Multiple Kernel Active Learning for Facial Expression Analysis
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    Chapter 46 Fast Moving Target Detection Based on Gray Correlation Analysis and Background Subtraction
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    Chapter 47 Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm
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    Chapter 48 Moving Object Detecting System with Phase Discrepancy
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    Chapter 49 Automation of Virtual Interview System Using the Gesture Recognition of Particle Filter
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    Chapter 50 Performance Analysis of Improved Affinity Propagation Algorithm for Image Semantic Annotation
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    Chapter 51 Learning Variance Statistics of Natural Images
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    Chapter 52 Real-Time Joint Blind Speech Separation and Dereverberation in Presence of Overlapping Speakers
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    Chapter 53 Audio Segmentation and Classification Using a Temporally Weighted Fuzzy C-Means Algorithm
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    Chapter 54 Extracting Specific Signal from Post-nonlinear Mixture Based on Maximum Negentropy
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    Chapter 55 A Method to Detect JPEG-Based Double Compression
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    Chapter 56 Semi Supervised Learning for Prediction of Prosodic Phrase Boundaries in Chinese TTS Using Conditional Random Fields
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    Chapter 57 Singer Identification Using Time-Frequency Audio Feature
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    Chapter 58 Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents
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    Chapter 59 On Control of Hopf Bifurcation in a Class of TCP/AQM Networks
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    Chapter 60 State Feedback Control Based on Twin Support Vector Regression Compensating for a Class of Nonlinear Systems
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    Chapter 61 Advances in Neural Networks – ISNN 2011
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    Chapter 62 Adaptive Robust NN Control of Nonlinear Systems
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    Chapter 63 A Generalized Online Self-constructing Fuzzy Neural Network
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    Chapter 64 Adaptive Fuzzy Control of an Active Vibration Isolator
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    Chapter 65 Fuzzy-Adaptive Fault-Tolerant Control of High Speed Train Considering Traction/Braking Faults and Nonlinear Resistive Forces
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    Chapter 66 Robust Cascaded Control of Propeller Thrust for AUVs
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    Chapter 67 A Developmental Learning Based on Learning Automata
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    Chapter 68 Meddler, Agents in the Bounded Confidence Model on Flocking Movement World
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    Chapter 69 Statistical Optimal Control Using Neural Networks
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    Chapter 70 Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm
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    Chapter 71 Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems
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    Chapter 72 Optimal Control for a Class of Unknown Nonlinear Systems via the Iterative GDHP Algorithm
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Title
Advances in Neural Networks – ISNN 2011
Published by
Springer Berlin Heidelberg, May 2011
DOI 10.1007/978-3-642-21090-7
ISBNs
978-3-64-221089-1, 978-3-64-221090-7
Editors

Liu, Derong, Zhang, Huaguang, Polycarpou, Marios, Alippi, Cesare, He, Haibo, Liu, Derong, Zhang, Huaguang, Polycarpou, Marios, Alippi, Cesare, He, Haibo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Student > Postgraduate 1 100%
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%
Computer Science 1 100%
Engineering 1 100%