Subclass discriminant Nonnegative Matrix Factorization for facial image analysis

Nonnegative Matrix Factorization (NMF) is among the most popular subspace methods, widely used in a variety of image processing problems. Recently, a discriminant NMF method that incorporates Linear Discriminant Analysis inspired criteria has been proposed, which achieves an efficient decomposition...

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Veröffentlicht in:	Pattern recognition 2012-12, Vol.45 (12), p.4080-4091
Hauptverfasser:	Nikitidis, Symeon, Tefas, Anastasios, Nikolaidis, Nikos, Pitas, Ioannis
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Criteria Decomposition Discriminant analysis Exact sciences and technology Face recognition Facial Facial expression recognition Factorization Image processing Information, signal and communications theory Multiplicative updates Nonnegative Matrix Factorization Pattern recognition Performance enhancement Projection Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Subclass discriminant analysis Telecommunications and information theory
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