Facial expression recognition using clustering discriminant Non-negative Matrix Factorization

Non-negative 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 criteria and achieves an efficient decomposition of the provided data to its di...

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Bibliographische Detailangaben

Hauptverfasser:	Nikitidis, S., Tefas, A., Nikolaidis, N., Pitas, I.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Algorithm design and analysis clustering discriminant analysis Conferences Face recognition facial expression recognition Image processing Non-negative matrix factorization sub-space methods Vectors
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