A Novel Discriminant Non-Negative Matrix Factorization and its Application to Facial Expression Recognition
The paper proposes a novel discriminant non-negative matrix factorization algorithm and applies it to facial expression recognition. Unlike traditional non-negative matrix factorization algorithms, the algorithm adds discriminant constraints in low-dimensional weights. The experiments on facial expression recognition indicate that the algorithm enhances the discrimination capability of low-dimensional features and achieves better performance than other non-negative matrix factorization algorithms.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Y. L. Zhu et al., "A Novel Discriminant Non-Negative Matrix Factorization and its Application to Facial Expression Recognition", Advanced Materials Research, Vols. 143-144, pp. 129-133, 2011