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

fYear

2009

fDate

11-13 May 2009

Firstpage

216

Lastpage

218

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CIMSA.2009.5069951

Filename

5069951

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1982604