Jun-Bao Li & Shu-Chuan Chu 
Kernel Learning Algorithms for Face Recognition [PDF ebook] 

Ajutor

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.

€106.99
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Cuprins

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.

Despre autor

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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Limba Engleză ● Format PDF ● Pagini 225 ● ISBN 9781461401612 ● Mărime fișier 4.1 MB ● Editura Springer New York ● Oraș NY ● Țară US ● Publicat 2013 ● Descărcabil 24 luni ● Valută EUR ● ID 2835730 ● Protecție împotriva copiilor DRM social

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