Kernel Learning Algorithms for Face Recognition is published by Springer on September 8, 2013. This book has 225 pages in English, ISBN-10 1461401607, ISBN-13 978-1461401605. PDF is available for download below.
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.