Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification | |
Nie, Feiping1,2; Cai, Guohao1,2; Li, Jing1,2; Li, Xuelong3 | |
作者部门 | 光学影像学习与分析中心 |
2018-03-01 | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
ISSN | 1057-7149 |
卷号 | 27期号:3页码:1501-1511 |
产权排序 | 3 |
摘要 | 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. |
关键词 | Auto-weight Learning Multi-view Clustering Semi-supervised Classification |
DOI | 10.1109/TIP.2017.2754939 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000418863500022 |
EI入藏号 | 20174104263471 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30827 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Auto-Weighted Multi-(2164KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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