A Report on Multilinear PCA Plus GTDA to Deal With Face Image

A Report on Multilinear PCA Plus GTDA to Deal With Face Image

Because face images are naturally two-dimensional data, there have been several 2D feature extraction methods to deal with facial images while there are few 2D effective classifiers. Meanwhile, there is an increasing interest in the multilinear subspace analysis and many methods have been proposed t...

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Podrobná bibliografie
Hlavní autoři: Zhang Fan, Wang Xiaoping, Sun Ke
Médium: Článek
Jazyk:English
Vydáno: Sciendo 2016-03-01
Edice:Cybernetics and Information Technologies
Témata:
feature extraction
tensor objects
face recognition
multilinear principal component analysis
general tensor discriminant analysis
On-line přístup:https://doi.org/10.1515/cait-2016-0012

Internet

https://doi.org/10.1515/cait-2016-0012

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