A novel discriminant non-negative matrix factorization algorithm with applications to facial image characterization problems
Kotsia, Irene and Zafeiriou, Stefanos and Pitas, Ioannis (2007) A novel discriminant non-negative matrix factorization algorithm with applications to facial image characterization problems. IEEE Transactions on Information Forensics and Security, 2 (3). pp. 588-595. ISSN 1556-6013
Full text is not in this repository.
Official URL: http://dx.doi.org/10.1109/TIFS.2007.902017
This item is available in the Library Catalogue
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.
|Research Areas:||School of Science and Technology > Science & Technology|
|Deposited On:||26 Nov 2012 07:16|
|Last Modified:||06 Feb 2013 11:35|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year