Kernel learning algorithms for face recognition / Jun-Bao Li, Shu-Chuan Chu and Jeng-Shyang Pan.
Material type:
TextPublication details: New York : Springer, 2014.Description: xv, 225 p. : illustrations (some color) ; 24 cmISBN: - 9781461401605 (alk. paper)
- 006.42 23 L693
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 006.42 L693 (Browse shelf(Opens below)) | Available | 135490 |
Browsing ISI Library, Kolkata shelves Close shelf browser (Hides shelf browser)
| 006.42 L693 Handbook of face recognition | 006.42 L693 Handbook of face recognition | 006.42 L693 Handbook of face recognition/ | 006.42 L693 Kernel learning algorithms for face recognition / | 006.42 L788 Recognition of whiteboard notes | 006.42 L964 Pattern recognition and image processing | 006.42 M111 Artificial intelligence for maximizing content based image retrieval |
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.
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.
There are no comments on this title.
