Multi-view subspace clustering | |
Gao, Hongchang1; Nie, Feiping1; Li, Xuelong2![]() | |
2016 | |
会议名称 | 15th IEEE International Conference on Computer Vision, ICCV 2015 |
会议录名称 | Proceedings ; 2015 IEEE International Conference on Computer Vision, ICCV 2015 |
卷号 | 11;18;December;2015 |
页码 | 4238;4246 |
会议日期 | 2015-12-11 |
会议地点 | Santiago, Chile |
出版地 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 2 |
摘要 | For many computer vision applications, the data sets distribute on certain low;dimensional subspaces. Subspace clustering is to find such underlying subspaces and cluster the data points correctly. In this paper, we propose a novel multi;view subspace clustering method. The proposed method performs clustering on the subspace representation of each view simultaneously. Meanwhile, we propose to use a common cluster structure to guarantee the consistence among different views. In addition, an efficient algorithm is proposed to solve the problem. Experiments on four benchmark data sets have been performed to validate our proposed method. The promising results demonstrate the effectiveness of our method. © 2015 IEEE. |
关键词 | Algorithms Clustering Algorithms |
作者部门 | 光学影像学习与分析中心 |
DOI | 10.1109/ICCV.2015.482 |
收录类别 | EI |
ISBN号 | 9781467383912 |
语种 | 英语 |
ISSN号 | 15505499 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28330 |
专题 | 光谱成像技术研究室 |
通讯作者 | Gao, Hongchang (hongchanggao@gmail.com) |
作者单位 | 1.Computer Science and Engineering, University of Texas at Arlington, Arlington; TX; 76019, United States 2.Center for OPTIMAL, XIOPM, Chinese Academy of Sciences, Xi'an; 710119, China |
推荐引用方式 GB/T 7714 | Gao, Hongchang,Nie, Feiping,Li, Xuelong,et al. Multi-view subspace clustering[C]. Institute of Electrical and Electronics Engineers Inc.,2016:4238;4246. |
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 | ||
Multi-view subspace (821KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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