27 October 2013 A novel method for constructing low-dimensional linear discriminative subspace
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Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 89190N (2013) https://doi.org/10.1117/12.2029372
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
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Hongwen Huo, Jing Feng, Jufu Feng, "A novel method for constructing low-dimensional linear discriminative subspace", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89190N (27 October 2013); doi: 10.1117/12.2029372; https://doi.org/10.1117/12.2029372
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