A novel method for constructing low-dimensional linear discriminative subspace
Hongwen Huo, Jing Feng, Jufu Feng · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
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.