02652oam 2200517 450 991029974550332120190911103512.01-4614-0161-510.1007/978-1-4614-0161-2(OCoLC)860879381(MiFhGG)GVRL6UXP(EXLCZ)99267000000042749120130705d2014 uy 0engurun|---uuuuatxtccrKernel learning algorithms for face recognition /Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan1st ed. 2014.New York :Springer,2014.1 online resource (xv, 225 pages) illustrations (some color)Gale eBooksDescription based upon print version of record.1-4614-0160-7 Includes bibliographical references and index.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.Human face recognition (Computer science)Machine learningAlgorithmsKernel functionsHuman face recognition (Computer science)Machine learning.Algorithms.Kernel functions.006.31Li Jun-Baoauthttp://id.loc.gov/vocabulary/relators/aut886512Chu Shu-ChuanPan Jeng-ShyangMiFhGGMiFhGGBOOK9910299745503321Kernel Learning Algorithms for Face Recognition1979699UNINA