Why can LDA be performed in PCA transformed space?

✍ Scribed by Jian Yang; Jing-yu Yang

• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 81 KB
• Volume: 36
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(02)00048-1

✦ Synopsis

PCA plus LDA is a popular framework for linear discriminant analysis (LDA) in high dimensional and singular case. In this paper, we focus on building a theoretical foundation for this framework. Moreover, we point out the weakness of the previous LDA based methods, and suggest a complete PCA plus LDA algorithm. Experimental results on ORL face image database indicate that the proposed method is more e ective than the previous ones.