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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書誌詳細
第一著者:	Mai, Lam
フォーマット:	論文
言語:	English
出版事項:	2018
主題:	face recognition graph regularization nonnegative matrix factorization support vector machine spatial constrains
オンライン･アクセス:	http://thuvien.cit.udn.vn//handle/123456789/205
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Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

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