Multi-view robust regression for feature extraction

Zhihui Lai, Foping Chen, Jiajun Wen

Abstract: Highlights•L2,1 norm was used as the metric in loss function and the regularization term.•The proposed method is robust to outliers and can obtain jointly sparse projection matrices.•Enough dimensions can be obtained to break through the limitation of the small-class problem.