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Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
Nie, Feiping1,2; Cai, Guohao1,2; Li, Jing1,2; Li, Xuelong3
Department光学影像学习与分析中心
2018-03-01
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
ISSN1057-7149
Volume27Issue:3Pages:1501-1511
Contribution Rank3
Abstract

Due to the efficiency of learning relationships and complex structures hidden in data, graph-oriented methods have been widely investigated and achieve promising performance. Generally, in the field of multi-view learning, these algorithms construct informative graph for each view, on which the following clustering or classification procedure are based. However, in many real-world data sets, original data always contain noises and outlying entries that result in unreliable and inaccurate graphs, which cannot be ameliorated in the previous methods. In this paper, we propose a novel multi-view learning model which performs clustering/semi-supervised classification and local structure learning simultaneously. The obtained optimal graph can be partitioned into specific clusters directly. Moreover, our model can allocate ideal weight for each view automatically without explicit weight definition and penalty parameters. An efficient algorithm is proposed to optimize this model. Extensive experimental results on different real-world data sets show that the proposed model outperforms other state-of-the-art multi-view algorithms.

KeywordAuto-weight Learning Multi-view Clustering Semi-supervised Classification
DOI10.1109/TIP.2017.2754939
Indexed BySCI ; EI
Language英语
WOS IDWOS:000418863500022
EI Accession Number20174104263471
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30827
Collection光学影像学习与分析中心
Affiliation1.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China;
2.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning, Xian 710072, Shaanxi, Peoples R China;
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Nie, Feiping,Cai, Guohao,Li, Jing,et al. Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,27(3):1501-1511.
APA Nie, Feiping,Cai, Guohao,Li, Jing,&Li, Xuelong.(2018).Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification.IEEE TRANSACTIONS ON IMAGE PROCESSING,27(3),1501-1511.
MLA Nie, Feiping,et al."Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification".IEEE TRANSACTIONS ON IMAGE PROCESSING 27.3(2018):1501-1511.
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