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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Li, Jun-Bao (Συγγραφέας), Chu, Shu-Chuan (Συγγραφέας), Pan, Jeng-Shyang (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Li, Jun-Bao.  |e author. 
245 1 0 |a Kernel Learning Algorithms for Face Recognition  |h [electronic resource] /  |c by Jun-Bao Li, Shu-Chuan Chu, Jeng-Shyang Pan. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a XV, 225 p. 58 illus., 19 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Image processing. 
650 0 |a Computational intelligence. 
650 0 |a Electrical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Image Processing and Computer Vision. 
700 1 |a Chu, Shu-Chuan.  |e author. 
700 1 |a Pan, Jeng-Shyang.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781461401605 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4614-0161-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)