CASIA OpenIR  > 智能感知与计算研究中心
Transformation invariant subspace clustering
Li, Qi1; Sun, Zhenan1; Lin, Zhouchen2,3; He, Ran1; Tan, Tieniu1
Source PublicationPATTERN RECOGNITION
2016-11-01
Volume59Issue:doi:10.1016/j.patcog.2016.02.006Pages:142-155
SubtypeArticle
AbstractSubspace 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.
KeywordTransformation Subspace Clustering Joint Alignment And Clustering
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patcog.2016.02.006
WOS KeywordROBUST FACE RECOGNITION ; SPARSE REPRESENTATION ; ALIGNMENT ; SEGMENTATION ; MINIMIZATION ; ALGORITHM ; VIDEO ; GRAPH
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China(2012CB316300 ; National Natural Science Foundation of China(61273272 ; 2015CB352502) ; 61473289)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000383007800013
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11676
Collection智能感知与计算研究中心
Corresponding AuthorHe, Ran
Affiliation1.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
Recommended Citation
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.
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