An Extended Max-margin Non-negative Matrix Factorization for Face Recognition

An Extended Max-margin Non-negative Matrix Factorization for Face Recognition

Non-negative matrix factorization (NMF) is a dimension-reduction technique based on a low-rank approximation of the feature space. Unfortunately, most existing NMF based methods are not ready for encoding higher-order data information and ignore the local geometric structure contained in the data s...

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Detaylı Bibliyografya
Yazar: Mai, Lam
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: 2018
Konular:
face recognition
graph regularization
nonnegative matrix factorization
support vector machine
spatial constrains
Online Erişim:http://thuvien.cit.udn.vn//handle/123456789/205
Etiketler: Etiketle
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http://thuvien.cit.udn.vn//handle/123456789/205

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