Discriminant Non-negative Matrix Factorization and projected gradients for frontal face verification

Conference paper


Kotsia, I., Zafeiriou, S. and Pitas, I. 2008. Discriminant Non-negative Matrix Factorization and projected gradients for frontal face verification. The First COST 2101 Workshop on Biometrics and Identity Management (BIOID 2008). Roskilde University, Denmark 07 - 09 May 2008
TypeConference paper
TitleDiscriminant Non-negative Matrix Factorization and projected gradients for frontal face verification
AuthorsKotsia, I., Zafeiriou, S. and Pitas, I.
Abstract

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.

Research GroupResearch Group on Development of Intelligent Environments
ConferenceThe First COST 2101 Workshop on Biometrics and Identity Management (BIOID 2008)
Publication process dates
Deposited04 Dec 2012
Output statusPublished
Web address (URL)http://cost2101.org/BIOID2008/MainPage.html
LanguageEnglish
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