Kernel Learning Algorithms for Face Recognition

ISBN-13: 9781493952120 / Angielski / Miękka / 2016 / 225 str.

Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan

Opis

This book covers the framework of kernel based face recognition. It discusses the advanced kernel learning algorithms and its application on face recognition. The book also focuses on the theoretical deviation, the system framework and experiments.

Spis treści

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.

O autorze

Jeng-Shyang Pan is the Tainan Chapter Chair, IEEE Signal Processing Society.

Jun-Bao Li is currently at the Department of Automatic Test and Control, Harbin Institute of Technology.

Shu-Chuan Chu is a researcher at the School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus.

Blurb

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.