TY  - BOOK
AU  - Li,Jun-Bao
AU  - Chu,Shu-Chuan
AU  - Pan,Jeng-Shyang
TI  - Kernel learning algorithms for face recognition
SN  - 9781461401605 (alk. paper)
U1  - 006.42 23
PY  - 2014///
CY  - New York
PB  - Springer
KW  - Human face recognition (Computer science)
KW  - Machine learning
KW  - Algorithms
KW  - Kernel functions
N1  - Includes bibliographical references and index; 1. Introduction -- 
2. Statistical learning-based face recognition -- 
3. Kernel learning foundation -- 
4. Kernel principal component analysis (KPCA)-based face recognition -- 
5. Kernel discriminant analysis-based face recognition -- 
6. Kernel manifold learning-based face recognition -- 
7. Kernel semi-supervised learning-based face recognition -- 
8. Kernel-learning-based face recognition for smart environment -- 
9. Kernel-optimization-based face recognition -- 
10. Kernel construction for face recognition--
Index
N2  - 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.
ER  -