Sciweavers

Share
BIOID
2008

Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification

11 years 11 months ago
Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification
A novel Discriminant Non-negative Matrix Factorization (DNMF) method that uses projected gradients, is presented in this paper. The proposed algorithm guarantees the algorithm's convergence to a stationary point, contrary to the methods introduced so far, that only ensure the non-increasing behavior of the algorithm's cost function. The proposed algorithm employs some extra modifications that make the method more suitable for classification tasks. The usefulness of the proposed technique to the frontal face verification problem is also demonstrated. Key words: Non-negative Matrix Factorization, projected gradients, frontal face verification.
Irene Kotsia, Stefanos Zafeiriou, Ioannis Pitas
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where BIOID
Authors Irene Kotsia, Stefanos Zafeiriou, Ioannis Pitas
Comments (0)
books