| Transformation invariant subspace clustering | |
Li, Qi1 ; Sun, Zhenan1; Lin, Zhouchen2,3; He, Ran1; Tan, Tieniu1
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| 发表期刊 | PATTERN RECOGNITION
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| 2016-11-01 | |
| 卷号 | 59期号:doi:10.1016/j.patcog.2016.02.006页码:142-155 |
| 文章类型 | Article |
| 摘要 | Subspace clustering has achieved great success in many computer vision applications. However, most subspace clustering algorithms require well aligned data samples, which is Often not straightforward to achieve. This paper proposes a Transformation Invariant Subspace Clustering framework by jointly aligning data samples and learning subspace representation. By alignment, the transformed data samples become highly correlated and a better affinity matrix can be obtained. The joint problem can be reduced to a sequence of Least Squares Regression problems, which can be efficiently solved. We verify the effectiveness of the proposed method with extensive experiments on unaligned real data, demonstrating its higher clustering accuracy than the state-of-the-art subspace clustering and transformation invariant clustering algorithms. (C) 2016 Elsevier Ltd. All rights reserved. |
| 关键词 | Transformation Subspace Clustering Joint Alignment And Clustering |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.patcog.2016.02.006 |
| 关键词[WOS] | ROBUST FACE RECOGNITION ; SPARSE REPRESENTATION ; ALIGNMENT ; SEGMENTATION ; MINIMIZATION ; ALGORITHM ; VIDEO ; GRAPH |
| 收录类别 | SCI |
| 语种 | 英语 |
| 项目资助者 | National Basic Research Program of China(2012CB316300 ; National Natural Science Foundation of China(61273272 ; 2015CB352502) ; 61473289) |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000383007800013 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/11676 |
| 专题 | 模式识别实验室 |
| 通讯作者 | He, Ran |
| 作者单位 | 1.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit,Inst Automat, Beijing 100190, Peoples R China 2.Peking Univ, Sch EECS, Key Lab Machine Percept MOE, Beijing 100871, Peoples R China 3.Shanghai Jiao Tong Univ, Cooperat Medianet Innovat Ctr, Shanghai 200240, Peoples R China |
| 第一作者单位 | 模式识别国家重点实验室 |
| 通讯作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Li, Qi,Sun, Zhenan,Lin, Zhouchen,et al. Transformation invariant subspace clustering[J]. PATTERN RECOGNITION,2016,59(doi:10.1016/j.patcog.2016.02.006):142-155. |
| APA | Li, Qi,Sun, Zhenan,Lin, Zhouchen,He, Ran,&Tan, Tieniu.(2016).Transformation invariant subspace clustering.PATTERN RECOGNITION,59(doi:10.1016/j.patcog.2016.02.006),142-155. |
| MLA | Li, Qi,et al."Transformation invariant subspace clustering".PATTERN RECOGNITION 59.doi:10.1016/j.patcog.2016.02.006(2016):142-155. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 1-s2.0-S003132031600（3366KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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