FER based on the improved convex nonnegative matrix factorization feature

Facial expression recognition is an important research issue in the pattern recognition field. In this paper, we intend to present an accurate facial expression recognition (FER) system, which employs an improved convex non-negative matrix factorization (ICNMF) method based on a novel objective func...

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Vydáno v:	Multimedia tools and applications Ročník 79; číslo 35-36; s. 26305 - 26325
Hlavní autoři:	Zhou, Jing, Wang, Tianjiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2020 Springer Nature B.V
Témata:	Belief networks Coders Computer Communication Networks Computer Science Data Structures and Information Theory Face recognition Factorization Feature extraction Feature recognition Histograms Methods Multilayers Multimedia Information Systems Pattern recognition Special Purpose and Application-Based Systems Support vector machines Novel objective function Facial expression recognition Feature extraction Improved convex non-negative matrix factorization Improved iterative step sizes
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
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