Complete Kernal Fisher Discrimination Analysis
David D. Zhang, Xiao‐Yuan Jing, Jian Jun Yang · Computational intelligence and its applications (COMIA) book series/Computational intelligence and its applications series · 2006
This chapter introduces a complete kernel Fisher discriminant analysis (KFD) that is a useful statistical technique applied to biometric application. We first describe theoretical perspective of KPCA. Then, a new KFD algorithm framework, KPCA plus LDA, is given. Afterwards, we discuss the complete KFD algorithm. Finally, the experimental results and chapter summary are given.