Kernel Learning Algorithms for Face Recognition
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 kern...
| Published in: | Springer eBooks |
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| Main Authors: | , , |
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2014.
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-1-4614-0161-2 Перейти в каталог НБ ТГУ |
| Summary: | 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. |
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| Physical Description: | XV, 225 p. 58 illus., 19 illus. in color. online resource. |
| ISBN: | 9781461401612 |