Kernel Learning Algorithms for Face Recognition

• 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: Engineering.; Image processing.; Computational intelligence.; Electrical engineering.; Signal, Image and Speech Processing.; Communications Engineering, Networks.; Computational Intelligence.; Image Processing and Computer Vision.
• Φυσική περιγραφή: XV, 225 p. 58 illus., 19 illus. in color. online resource.
• ISBN: 9781461401612

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.