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...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsman: Mai, Lam
Materialtyp: Artikel
Språk:English
Publicerad: 2018
Ämnen:
face recognition
graph regularization
nonnegative matrix factorization
support vector machine
spatial constrains
Länkar:http://thuvien.cit.udn.vn//handle/123456789/205
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!
Thư viện lưu trữ: Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

Internet

http://thuvien.cit.udn.vn//handle/123456789/205

Liknande verk