Kernel Learning Algorithms for Face Recognition, 1st Edition

  • Published By:
  • ISBN-10: 1461401615
  • ISBN-13: 9781461401612
  • DDC: 006.42
  • Grade Level Range: College Freshman - College Senior
  • 225 Pages | eBook
  • Original Copyright 2014 | Published/Released June 2014
  • This publication's content originally published in print form: 2014

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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

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: Introduction.
2: Statistical Learning-Based Face Recognition.
3: Kernel Learning Foundation.
4: Kernel Principal Component Analysis (KPCA)-Based Face Recognition.
5: Kernel Discriminant Analysis-Based Face Recognition.
6: Kernel Manifold Learning-Based Face Recognition.
7: Kernel Semi-Supervised Learning-Based Face Recognition.
8: Kernel-Learning-Based Face Recognition for Smart Environment.
9: Kernel-Optimization-Based Face Recognition.
10: Kernel Construction for Face Recognition.