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Multi-Layer Neural Networks
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Multi-Layer Neural Networks
by S. H. Lin, M. W. Mak, S. Y. Kung
Biometric Authentication: A Machine Learning Approach
Copyright
Prentice Hall Information and System Sciences Series
Preface
Overview
Introduction
Biometric Authentication Methods
Face Recognition: Reality and Challenge
Speaker Recognition: Reality and Challenge
Road Map of the Book
Biometric Authentication Systems
Introduction
Design Tradeoffs
Feature Extraction
Adaptive Classifiers
Visual-Based Feature Extraction and Pattern Classification
Audio-Based Feature Extraction and Pattern Classification
Concluding Remarks
Expectation-Maximization Theory
Introduction
Traditional Derivation of EM
An Entropy Interpretation
Doubly-Stochastic EM
Concluding Remarks
Support Vector Machines
Introduction
Fisher's Linear Discriminant Analysis
Linear SVMs: Separable Case
Linear SVMs: Fuzzy Separation
Nonlinear SVMs
Biometric Authentication Application Examples
Multi-Layer Neural Networks
Introduction
Neuron Models
Multi-Layer Neural Networks
The Back-Propagation Algorithms
Two-Stage Training Algorithms
Genetic Algorithm for Multi-Layer Networks
Biometric Authentication Application Examples
Modular and Hierarchical Networks
Introduction
Class-Based Modular Networks
Mixture-of-Experts Modular Networks
Hierarchical Machine Learning Models
Biometric Authentication Application Examples
Decision-Based Neural Networks
Introduction
Basic Decision-Based Neural Networks
Hierarchical Design of Decision-Based Learning Models
Two-Class Probabilistic DBNNs
Multiclass Probabilistic DBNNs
Biometric Authentication Application Examples
Biometric Authentication by Face Recognition
Introduction
Facial Feature Extraction Techniques
Facial Pattern Classification Techniques
Face Detection and Eye Localization
PDBNN Face Recognition System Case Study
Application Examples for Face Recognition Systems
Concluding Remarks
Biometric Authentication by Voice Recognition
Introduction
Speaker Recognition
Kernel-Based Probabilistic Speaker Models
Handset and Channel Distortion
Blind Handset-Distortion Compensation
Speaker Verification Based on Articulatory Features
Concluding Remarks
Multicue Data Fusion
Introduction
Sensor Fusion for Biometrics
Hierarchical Neural Networks for Sensor Fusion
Multisample Fusion
Audio and Visual Biometric Authentication
Concluding Remarks
Convergence Properties of EM
Average Det Curves
Matlab Projects
Matlab Project 1: GMMs and RBF Networks for Speech Pattern Recognition
Matlab Project 2: SVMs for Pattern Classification
Bibliography
Index
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Biometric Authentication Application Examples
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Introduction
Chapter 5. Multi-Layer Neural Networks
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