Multiple Kernel Learning in Fisher Discriminant Analysis for Face Recognition

Recent applications and developments based on support vector machines (SVMs) have shown that using multiple kernels instead of a single one can enhance classifier performance. However, there are few reports on performance of the kernel-based Fisher discriminant analysis (kernel-based FDA) method wit...

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Bibliographic Details
Main Authors: Xiao-Zhang Liu, Guo-Can Feng
Format: Article
Language:English
Published: SAGE Publishing 2013-02-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/52350