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Proceedings Paper

A novel method for constructing low-dimensional linear discriminative subspace
Author(s): Hongwen Huo; Jing Feng; Jufu Feng
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Paper Abstract

We present a novel method to construct low-dimensional linear discriminative subspaces in this paper. Our method is simple and the calculation cost is little. The new subspace we construct is low dimensional while retaining discriminative information of original feature space. This means that we can make full use of discriminative information both in original ranks space and original null space by constructing a low-dimensional subspace and its discriminative matrix. The performance achieved by our method shows its great potential in resolving image classification problems.

Paper Details

Date Published: 27 October 2013
PDF: 5 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190N (27 October 2013); doi: 10.1117/12.2029372
Show Author Affiliations
Hongwen Huo, China Electronics Standardization Institute (China)
Jing Feng, China Electronics Standardization Institute (China)
Jufu Feng, Peking Univ. (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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