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Semisupervised Learning With Parameter-Free Similarity of Label and Side Information
Zhang, Rui1; Nie, Feiping1; Li, Xuelong2
作者部门光谱成像技术研究室
2019-02
发表期刊IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X;2162-2388
卷号30期号:2页码:405–414
产权排序2
摘要

As for semisupervised learning, both label information and side information serve as pivotal indicators for the classification. Nonetheless, most of related research works utilize either label information or side information instead of exploiting both of them simultaneously. To address the referred defect, we propose a graph-based semisupervised learning (GSL) problem according to both given label information and side information. To solve the GSL problem efficiently, two novel self-weighted strategies are proposed based on solving associated equivalent counterparts of a GSL problem, which can be widely applied to a spectrum of biobjective optimizations. Different from a conventional technique to amalgamate must-link and cannotlink into a single similarity for convenient optimization, we derive a new parameter-free similarity, upon which intrinsic graph and penalty graph can be separately developed. Consequently, a novel semisupervised classification algorithm can be summarized correspondingly with a theoretical analysis.

关键词Graph-based semisupervised learning (GSL) quadratic trace ratio (QTR) problem side information soft label
DOI10.1109/TNNLS.2018.2843798
收录类别SCI
语种英语
WOS记录号WOS:000457114600007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:11[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/31195
专题光谱成像技术研究室
通讯作者Nie, Feiping
作者单位1.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China
2.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
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GB/T 7714
Zhang, Rui,Nie, Feiping,Li, Xuelong. Semisupervised Learning With Parameter-Free Similarity of Label and Side Information[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(2):405–414.
APA Zhang, Rui,Nie, Feiping,&Li, Xuelong.(2019).Semisupervised Learning With Parameter-Free Similarity of Label and Side Information.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,30(2),405–414.
MLA Zhang, Rui,et al."Semisupervised Learning With Parameter-Free Similarity of Label and Side Information".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 30.2(2019):405–414.
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