Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its newest applications.

Table of Contents

Chapter 1 Introduction
Chapter 2 Statistical Learning-Based Face Recognition
Chapter 3 Kernel Learning Foundation
Chapter 4 Kernel Principal Component Analysis (KPCA)-Based Face Recognition
Chapter 5 Kernel Discriminant Analysis Based Face Recognition
Chapter 6 Kernel Manifold Learning-Based Face Recognition
Chapter 7 Kernel Semi-Supervised Learning-Based Face Recognition
Chapter 8 Kernel-Learning-Based Face Recognition for Smart Environment
Chapter 9 Kernel-Optimization-Based Face Recognition
Chapter 10 Kernel Construction for Face Recognition