Discriminant Non-negative Matrix Factorization and projected gradients for frontal face verification
Kotsia, Irene and Zafeiriou, Stefanos and Pitas, Ioannis (2008) Discriminant Non-negative Matrix Factorization and projected gradients for frontal face verification. In: The First COST 2101 Workshop on Biometrics and Identity Management (BIOID 2008), 7 - 9 May 2008, Roskilde University, Denmark.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Research Areas:||A. > School of Science and Technology > Computer Science
A. > School of Science and Technology > Computer Science > Intelligent Environments Research Group
|Depositing User:||Devika Mohan|
|Date Deposited:||04 Dec 2012 07:10|
|Last Modified:||13 Oct 2016 14:25|
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