Education Department of Hunan Province [22B0181]; Natural Science Foundation of Hunan Province [2022JJ40189, 2020NK2033]
机构署名：
本校为第一且通讯机构
摘要：
The manuscript constructs a robust feature extraction model named low‐rank preserving embedding regression (LRPER) for data with noises in the field of computer vision. An alternative iteration algorithm is designed to optimise the LRPER model, and its computational complexity and convergence are detailedly discussed. The proposed method considers the interaction between projection learning and regression to improve the robustness and discriminability of extracted features. Abstract Although low‐rank representation (LRR)‐based subspace learn...
