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.

About the Author

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.

"About this title" may belong to another edition of this title.

Store Description

We specialise in General Interest Books from South Asian countries.

Visit Seller's Storefront

Seller's business information

BOOKS AND PERIODICALS AGENCY LTD
90 Barnet Gate Lane, Barnet, EN5 2AX, United Kingdom

Sale & Shipping Terms

Terms of Sale

Returns accepted if you are not satisfied with the Service or Book.

Shipping Terms

Best packaging and fast delivery

Payment Methods

Add to Wants

Items related to Kernel Learning Algorithms for Face Recognition

Kernel Learning Algorithms for Face Recognition

Chu Shu-Chuan Li Jun-Bao Pan Jeng-Shyang

New - Hardcover

About this Item

Bibliographic Details

About this title

Synopsis