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Robust Adaptive Sparse Learning Method for Graph Clustering
Chen, Mulin1; Wang, Qi1,2; Li, Xuelong3,4
2018-08-29
Conference Name25th IEEE International Conference on Image Processing, ICIP 2018
Source Publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
Pages1618-1622
Conference Date2018-10-07
Conference PlaceAthens, Greece
PublisherIEEE Computer Society
Contribution Rank3
AbstractGraph clustering aims to group the data into clusters according to a similarity graph, and has received sufficient attention in computer vision. As the basis of clustering, the quality of graph affects the results directly. In this paper, a Robust Adaptive Sparse Learning (RASL) method is proposed to improve the graph quality. The contributions made in this paper are three fold: (1) the sparse representation technique is employed to enforce the graph sparsity, and the ell-2,1 norm is introduced to improve the robustness; (2) the intrinsic manifold structure is captured by investigating the local relationship of data points; (3) an efficient optimization algorithm is designed to solve the proposed problem. Experimental results on various real-world benchmark datasets demonstrate the promising results of the proposed graph-based clustering method. © 2018 IEEE.
Department光学影像学习与分析中心
DOI10.1109/ICIP.2018.8451374
Indexed ByEI
ISBN9781479970612
Language英语
ISSN15224880
EI Accession Number20191206646389
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31345
Collection光学影像学习与分析中心
Corresponding AuthorWang, Qi
Affiliation1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an Shaanxi; 710072, China;
2.Unmanned System Research Institute (USRI), Northwestern Polytechnical University, Xi'an Shaanxi; 710072, China;
3.Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an Shaanxi; 710119, China;
4.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Chen, Mulin,Wang, Qi,Li, Xuelong. Robust Adaptive Sparse Learning Method for Graph Clustering[C]:IEEE Computer Society,2018:1618-1622.
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