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	Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
	Ying, Shihui; Wen, Zhijie; Shi, Jun; Peng, Yaxin; Peng, Jigen; Qiao, Hong
刊名	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
	2018
卷号	29页码:2731-2742
关键词	semisupervised learning matrix manifold intrinsic algorithm Classification distance metric learning
ISSN号	2162-237X
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2919106
专题	西安交通大学
推荐引用方式 GB/T 7714	Ying, Shihui,Wen, Zhijie,Shi, Jun,et al. Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29:2731-2742.
APA	Ying, Shihui,Wen, Zhijie,Shi, Jun,Peng, Yaxin,Peng, Jigen,&Qiao, Hong.(2018).Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29,2731-2742.
MLA	Ying, Shihui,et al."Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29(2018):2731-2742.

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