QQ客服 官方微博 反馈留言

	Sparse feature space representation: A unified framework for semi-supervised and domain adaptation learning
	Liu Long; Yang Lechao; Zhu Bin
	2018
卷号	156页码:43-61
关键词	Domain adaptation Sparse representation Laplacian regularization Feature space embedding
ISSN号	0950-7051
DOI	10.1016/j.knosys.2018.05.011
URL标识	查看原文
WOS记录号	WOS:000438005600003
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4975263
专题	西安理工大学
推荐引用方式 GB/T 7714	Liu Long,Yang Lechao,Zhu Bin. Sparse feature space representation: A unified framework for semi-supervised and domain adaptation learning[J],2018,156:43-61.
APA	Liu Long,Yang Lechao,&Zhu Bin.(2018).Sparse feature space representation: A unified framework for semi-supervised and domain adaptation learning.,156,43-61.
MLA	Liu Long,et al."Sparse feature space representation: A unified framework for semi-supervised and domain adaptation learning".156(2018):43-61.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。