Title :
A theoretical result of a support vector machine formulation to LDA
Author :
Wu, Xiao-jun ; Wang, Shi-Tong ; Kittler, Josef ; Messer, Kieron ; Yang, Jing-Yu
Author_Institution :
Sch. of Inf. Eng., Jiangnan Univ., Wuxi
Abstract :
In this paper, we first propose a method to transform from LDA to PCA with the discriminative information embedded in a whitening transformation, and then we propose a simple support vector machine formulation to LDA. The results of experiments of face recognition conducted on ORL database show the effectiveness of the proposed method.
Keywords :
principal component analysis; support vector machines; LDA; PCA; face recognition; support vector machine formulation; whitening transformation; Computational intelligence; Databases; Face recognition; Kernel; Linear discriminant analysis; Matrix decomposition; Principal component analysis; Quadratic programming; Scattering; Support vector machines; LDA; PCA; artificial neural networks; pattern recognition; support vector machine;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-3819-8
Electronic_ISBN :
978-1-4244-3820-4
DOI :
10.1109/CIMSA.2009.5069951
