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In this paper, a novel supervised feature extraction method is presented. The method employs discriminant analysis in the features derived by non-negative matrix factorization (NMF). In this way, a two phase discriminant feature extraction procedure is implemented, namely NMF plus linear discriminant analysis (LDA). The introduced method has been applied to the problem of frontal face verification using the well known XM2VTS database, where a better performance than NMF, eigenfaces and Fisherfaces has been achieved
Published in:
Machine Learning for Signal Processing, 2005 IEEE Workshop on
Date of Conference: 28-28 Sept. 2005
- Page(s):
- 355 - 359
- Print ISBN:
- 0-7803-9517-4
- INSPEC Accession Number:
- 8734087
- Conference Location :
- Mystic, CT
- Digital Object Identifier :
- 10.1109/MLSP.2005.1532928
- Product Type:
- Conference Publications
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