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	Low-resolution face recognition and feature selection based on multidimensional scaling joint L-2,L-1-norm regularisation
	Li, Fei; Jiang, Mingyan
刊名	IET BIOMETRICS
	2019
卷号	8期号:3页码:198-205
关键词	image resolution face recognition regression analysis feature extraction optimisation learning (artificial intelligence) feature selection captured face images sparse coupled projection method MDSL21 maps multidimensional scaling model high-resolution samples classical subspace learning methods norm regularisation term low-resolution face recognition task multidimensional scaling joint L2 1-norm regularisation regression model optimisation method
DOI	10.1049/iet-bmt.2018.5044
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4538708
专题	山东大学
作者单位	1.Shandong Jianzhu Univ, Sch Informat & Elect Engn, 1000 Fengming Rd, Jinan 250101, Shandong, Peoples R China. 2.Sh
推荐引用方式 GB/T 7714	Li, Fei,Jiang, Mingyan. Low-resolution face recognition and feature selection based on multidimensional scaling joint L-2,L-1-norm regularisation[J]. IET BIOMETRICS,2019,8(3):198-205.
APA	Li, Fei,&Jiang, Mingyan.(2019).Low-resolution face recognition and feature selection based on multidimensional scaling joint L-2,L-1-norm regularisation.IET BIOMETRICS,8(3),198-205.
MLA	Li, Fei,et al."Low-resolution face recognition and feature selection based on multidimensional scaling joint L-2,L-1-norm regularisation".IET BIOMETRICS 8.3(2019):198-205.

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