TY  - GEN
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.
DO  - 10.1007/978-1-4614-0161-2
DO  - doi
AB  - 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.
T1  - Kernel learning algorithms for face recognition
AU  - Li, Jun-Bao,
AU  - Chu, Shu-Chuan,
AU  - Pan, Jeng-Shyang,
CN  - SpringerLink
CN  - TA1650
ID  - 696728
KW  - Human face recognition (Computer science)
KW  - Machine learning.
KW  - Algorithms.
KW  - Kernel functions.
SN  - 9781461401612 
SN  - 1461401615 
TI  - Kernel learning algorithms for face recognition
LK  - https://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4614-0161-2
UR  - https://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-1-4614-0161-2
ER  -