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© 2014

Kernel Learning Algorithms for Face Recognition

Book

Table of contents

  1. Front Matter
    Pages i-xv
  2. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 1-17
  3. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 19-47
  4. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 49-70
  5. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 71-99
  6. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 101-133
  7. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 135-157
  8. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 159-174
  9. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 175-188
  10. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 189-211
  11. Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan
    Pages 213-223
  12. Back Matter
    Pages 225-225

About this book

Introduction

This book discusses the advanced kernel learning algorithms and its application on face recognition. The book focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. This authors aim to solve the parameter selection problems endured by kernel learning algorithms, and presents kernel optimization method with the data dependent kernel. This text extends the definition of data-dependent kernel and applies it to kernel optimization. Included within are algorithms of kernel based face recognition and the feasibility of the kernel based face recognition method.

Keywords

Analysis Based Face Recognition Kernel Clustering Kernel Construction Kernel Manifold Learning Kernel Neural Network Kernel Optimization Kernel learning Pattern recognition face recognition feature extraction

Authors and affiliations

  1. 1.Harbin Institute of TechnologyHarbinChina, People's Republic
  2. 2.Flinders University of South AustraliaBedford ParkAustralia
  3. 3.Department of Electronic EngineeringNational Kaohsiung University of AppliedSanmin DistrictTaiwan

About the authors

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.

Bibliographic information