Robust sparse low-rank embedding for image dimension reduction

Zhonghua Liu, Yue Lu, Zhihui Lai, Weihua Ou, Kaibing Zhang

Abstract: Highlights•We present a unified learning framework based on LRR, manifold learning and SR.•The discriminative features can be simultaneously extracted and selected.•The discriminative information and local structure of the samples can be captured.•The transformed data in the projected space holds the main energy of the samples.