
Kernel Learning Algorithms for Face Recognition
Springer (Publisher)
Published on 8. September 2013
Book
Hardback
XV, 225 pages
978-1-4614-0160-5 (ISBN)
Description
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.
More details
Edition
2013
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
39 s/w Abbildungen, 19 farbige Abbildungen
XV, 225 p. 58 illus., 19 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 17 mm
Weight
535 gr
ISBN-13
978-1-4614-0160-5 (9781461401605)
DOI
10.1007/978-1-4614-0161-2
Schweitzer Classification
Other editions
Additional editions

Jun-Bao Li | Shu-Chuan Chu | Jeng-Shyang Pan
Kernel Learning Algorithms for Face Recognition
Book
08/2016
Springer
€117.69
Shipment within 15-20 days

Jun-Bao Li | Shu-Chuan Chu | Jeng-Shyang Pan
Kernel Learning Algorithms for Face Recognition
E-Book
09/2013
1st Edition
Springer
€106.99
Available for download
Persons
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.
Content
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.