Kernel Learning Algorithms for Face Recognition
Author:   Jun-Bao Li ,  Shu-Chuan Chu ,  Jeng-Shyang Pan
Publisher:   Springer-Verlag New York Inc.
Edition:   2013
ISBN:  

9781461401605


Pages:   225
Publication Date:   08 September 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Kernel Learning Algorithms for Face Recognition


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Overview

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.

Full Product Details

Author:   Jun-Bao Li ,  Shu-Chuan Chu ,  Jeng-Shyang Pan
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   4.912kg
ISBN:  

9781461401605


ISBN 10:   1461401607
Pages:   225
Publication Date:   08 September 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Statistical Learning and Face Recognition.- Kernel Learning Foundation.- Kernel Principal Analysis Based Face Recognition.- Kernel Discriminant Analysis Based Face Recognition.- Kernel Manifold Learning Based Face Recognition.- Kernel Semi-supervised Based Face Recognition.- Kernel Learning Based Face Recognition for Smart Environment.- Kernel Optimization Based Face Recognition.- Kernel Construction for Face Recognition.

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Author Information

Jeng-Shyang Pan is the Tainan Chapter Chair, IEEE Signal Processing Society Jun-Bao Li is currently at the Department of Automatic Test and Control, Harbin Institute of Technology Shu-Chuan Chu is a researcher at the School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus

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