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Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification
文献类型：期刊论文
| 作者 | Nie, Feiping1,2; Cai, Guohao1,2; Li, Jing1,2; Li, Xuelong3 |
| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 27期号:3页码:1501-1511 |
| 关键词 | Auto-weight Learning Multi-view Clustering Semi-supervised Classification |
| ISSN号 | 1057-7149 |
| DOI | 10.1109/TIP.2017.2754939 |
| 产权排序 | 3 |
| 英文摘要 | 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. |
| 语种 | 英语 |
| WOS记录号 | WOS:000418863500022 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/30827]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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