Transformation invariant subspace clustering

doi:10.1016/j.patcog.2016.02.006

CORC > 北京大学 > 信息科学技术学院

	Transformation invariant subspace clustering
	Li, Qi ; Sun, Zhenan ; Lin, Zhouchen ; He, Ran ; Tan, Tieniu
刊名	PATTERN RECOGNITION
	2016
关键词	Transformation Subspace clustering Joint alignment and clustering ROBUST FACE RECOGNITION SPARSE REPRESENTATION ALIGNMENT SEGMENTATION MINIMIZATION ALGORITHM VIDEO GRAPH
DOI	10.1016/j.patcog.2016.02.006
英文摘要	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.; National Basic Research Program of China [2012CB316300, 2015CB352502]; National Natural Science Foundation of China [61273272, 61473289]; SCI(E); EI; ARTICLE; qli@nlpr.ia.ac.cn; znsun@nlpria.ac.cn; zlin@pku.edu.cn; rhe@nlpr.ia.ac.cn; tnt@nlpr.ia.ac.cn; ,SI; 142-155; 59
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/447853]
专题	信息科学技术学院
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.
APA	Li, Qi,Sun, Zhenan,Lin, Zhouchen,He, Ran,&Tan, Tieniu.(2016).Transformation invariant subspace clustering.PATTERN RECOGNITION.
MLA	Li, Qi,et al."Transformation invariant subspace clustering".PATTERN RECOGNITION (2016).