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Generalized discriminant orthogonal nonnegative tensor factorization for facial expression recognition.


ABSTRACT: In order to overcome the limitation of traditional nonnegative factorization algorithms, the paper presents a generalized discriminant orthogonal non-negative tensor factorization algorithm. At first, the algorithm takes the orthogonal constraint into account to ensure the nonnegativity of the low-dimensional features. Furthermore, the discriminant constraint is imposed on low-dimensional weights to strengthen the discriminant capability of the low-dimensional features. The experiments on facial expression recognition have demonstrated that the algorithm is superior to other non-negative factorization algorithms.

SUBMITTER: XiuJun Z 

PROVIDER: S-EPMC3984787 | biostudies-other | 2014

REPOSITORIES: biostudies-other

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