Twin relaxed least squares regression with classwise mean constraint for image classification

Highlights：

• A novel twin relaxed regression model is introduced for image classification.

• A relaxed target matrix together with a twin matrix provide more degrees of freedom to fit the class labels.

• Enlarged interclass margins for improved classification.

• Adaptively maximize the intraclass similarity with a classwise mean constraint.

• Experimental results show that the proposed method outperforms state-of-the-art algorithms in terms of classification rate.