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Proceedings Paper

Global optimal discriminant vectors under the global Fisher discriminant criterion
Author(s): Yong-Ge Wu; Ke Liu; Lei-Jian Liu; Jingyu Yang
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Paper Abstract

The Fisher linear discriminant vector has been used as the optimal linear method in solving pattern classification problems. This paper proposes an iterative algorithm to calculate a global optimal set of discriminant vectors under the global Fisher discriminant criterion. The main advantage of our algorithm is that the scatter matrices in the subspace spanned by all discriminant vectors in the proposed optimal set have the global minimum within-class scatter and global maximum between-class scatter as compared to the Foley-Sammon local optimal set.

Paper Details

Date Published: 21 September 1994
PDF: 7 pages
Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); doi: 10.1117/12.186591
Show Author Affiliations
Yong-Ge Wu, Nanjing Univ. of Science & Technology (China)
Ke Liu, Nanjing Univ. of Science & Technology (China)
Lei-Jian Liu, Nanjing Univ. of Science & Technology (United States)
Jingyu Yang, Nanjing Univ. of Science & Technology (China)


Published in SPIE Proceedings Vol. 2298:
Applications of Digital Image Processing XVII
Andrew G. Tescher, Editor(s)

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