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Proceedings Paper

Fusion of uncorrelated discriminant vectors, correlated discriminant vectors, and kernelized discriminant vectors
Author(s): Yuwang Yang; Jingyu Yang
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Paper Abstract

In this paper we obtain higher pattern analysis through the fusion of uncorrelated discriminant vectors, correlated discriminant vectors and kernelized discriminant vectors by some fusion theory and technology which is carried out by some estimation method of multi-feature. Based on some different features such as linear and non-linear features, correlated and uncorrelated features, one estimation method of multi-feature is proposed to fuse these different vectors. Finally experiments on human face recognition are carried out and prove our methods to be available.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538860
Show Author Affiliations
Yuwang Yang, Nanjing Univ. of Science and Technology (China)
Jingyu Yang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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