A Novel Discriminant Non-Negative Matrix Factorization Algorithm With Applications to Facial Image Characterization Problems

Authors:
I. Kotsia;S. Zafeiriou;I. Pitas
Affiliations:
Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki;-;-
Venue:
IEEE Transactions on Information Forensics and Security - Part 2
Year:
2007

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Abstract

The methods introduced so far regarding discriminant non-negative matrix factorization (DNMF) do not guarantee convergence to a stationary limit point. In order to remedy this limitation, a novel DNMF method is presented that uses projected gradients. The proposed algorithm employs some extra modifications that make the method more suitable for classification tasks. The usefulness of the proposed technique to frontal face verification and facial expression recognition problems is demonstrated.