TY  - BOOK
AU  - Li,Jun-Bao
AU  - Chu,Shu-Chuan
AU  - Pan,Jeng-Shyang
ED  - SpringerLink (Online service)
TI  - Kernel Learning Algorithms for Face Recognition
SN  - 9781461401612
AV  - TK5102.9 
U1  - 621.382 23
PY  - 2014///
CY  - New York, NY
PB  - Springer New York, Imprint: Springer
KW  - engineering
KW  - Computer vision
KW  - Telecommunication
KW  - Engineering
KW  - Signal, Image and Speech Processing
KW  - Communications Engineering, Networks
KW  - Computational Intelligence
KW  - Image Processing and Computer Vision
N1  - 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
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
UR  - http://dx.doi.org/10.1007/978-1-4614-0161-2
ER  -