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

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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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Библиографические подробности
Главный автор:	Mai, Lam
Формат:	Статья
Язык:	English
Опубликовано:	2018
Предметы:	face recognition graph regularization nonnegative matrix factorization support vector machine spatial constrains
Online-ссылка:	http://thuvien.cit.udn.vn//handle/123456789/205
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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