Manifold learning for the hyperspectral data structure of intra-class variation provides useful information for investigating the intrinsic coordinates corresponding to the quantitative properties ...

Abstract: We propose in this paper a doubly weighted subspace learning approach for face representation and recognition. Motivated by the fact that some face samples and parts are more effectual in ...