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	Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection.
	Huo, S.a; Zhou, Y.a,b; Xiang, W.c; Kung, S.-Y.d
刊名	IEEE Transactions On Neural Networks And Learning Systems
	2019
卷号	Vol.30 No.1页码:225-241
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/2897399
专题	天津大学
作者单位	1.aSchool of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China 2.bDepartment of Electrical Engineering, Princeton University, Princeton, NJ 08544, United States 3.cCollege of Science and Engineering, James Cook University, Cairns, QLD 4870, Australia 4.dElectrical Engineering Department, Princeton University, Princeton, NJ 08540, United States
推荐引用方式 GB/T 7714	Huo, S.a,Zhou, Y.a,b,Xiang, W.c,et al. Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection.[J]. IEEE Transactions On Neural Networks And Learning Systems,2019,Vol.30 No.1:225-241.
APA	Huo, S.a,Zhou, Y.a,b,Xiang, W.c,&Kung, S.-Y.d.(2019).Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection..IEEE Transactions On Neural Networks And Learning Systems,Vol.30 No.1,225-241.
MLA	Huo, S.a,et al."Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection.".IEEE Transactions On Neural Networks And Learning Systems Vol.30 No.1(2019):225-241.

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