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Multi-view subspace clustering

文献类型:会议论文

作者Gao, Hongchang1; Nie, Feiping1; Li, Xuelong2; Huang, Heng1
出版日期2016
会议名称15th ieee international conference on computer vision, iccv 2015
会议日期2015-12-11
会议地点santiago, chile
关键词Algorithms Clustering algorithms
卷号11;18;december;2015
页码4238;4246
通讯作者gao, hongchang (hongchanggao@gmail.com)
英文摘要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.
收录类别EI
产权排序2
会议录proceedings ; 2015 ieee international conference on computer vision, iccv 2015
会议录出版地institute of electrical and electronics engineers inc.
语种英语
ISSN号15505499
ISBN号9781467383912
源URL[http://ir.opt.ac.cn/handle/181661/28330]  
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.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]. 见:15th ieee international conference on computer vision, iccv 2015. santiago, chile. 2015-12-11.

入库方式: OAI收割

来源:西安光学精密机械研究所

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