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Kernel Learning Algorithms for Face Recognition [electronic resource] / by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan.

By: Li, Jun-Bao [author.].
Contributor(s): Chu, Shu-Chuan [author.] | Pan, Jeng-Shyang [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: New York, NY : Springer New York : Imprint: Springer, 2014Description: XV, 225 p. 58 illus., 19 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461401612.Subject(s): Engineering | Image processing | Computational intelligence | Electrical engineering | Engineering | Signal, Image and Speech Processing | Communications Engineering, Networks | Computational Intelligence | Image Processing and Computer VisionAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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