Learning adaptive Grassmann neighbors for image-set analysis

Dong Wei, Xiaobo Shen, Quansen Sun, Xizhan Gao, Zhenwen Ren

Abstract: Highlights•We propose a novel unsupervised DR method to work on non-linear Grassmann manifold.•We jointly learn the mapping and local structure to alleviate the effect of noise.•We further measure the distance for Grassmann manifold in terms of F-norm.•The experimental results demonstrate the effectiveness of the proposed model.