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Multi-view subspace clustering
Gao, Hongchang1; Nie, Feiping1; Li, Xuelong2; Huang, Heng1; Gao, Hongchang (hongchanggao@gmail.com)
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
DOI10.1109/ICCV.2015.482
收录类别EI
ISBN号9781467383912
语种英语
ISSN号15505499
引用统计
被引频次:456[WOS]   [WOS记录]     [WOS相关记录]
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.
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