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A note on the convergence of the mean shift
Li, Xiangru; Hu, Zhanyi; Wu, Fuchao
2007-06-01
发表期刊PATTERN RECOGNITION
卷号40期号:6页码:1756-1762
文章类型Article
摘要Mean shift is an effective iterative algorithm widely used in computer vision community. However, to our knowledge, its convergence, a key aspect of any iterative algorithm, has not been rigorously proved up to now. In this paper, by further imposing some commonly acceptable conditions, its convergence is proved. (c) 2006 Published by Elsevier Ltd on behalf of Pattern Recognition Society.
关键词Mean Shift Convergence Local Structure Computer Vision
WOS标题词Science & Technology ; Technology
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000245745000012
引用统计
被引频次:25[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9486
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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Li, Xiangru,Hu, Zhanyi,Wu, Fuchao. A note on the convergence of the mean shift[J]. PATTERN RECOGNITION,2007,40(6):1756-1762.
APA Li, Xiangru,Hu, Zhanyi,&Wu, Fuchao.(2007).A note on the convergence of the mean shift.PATTERN RECOGNITION,40(6),1756-1762.
MLA Li, Xiangru,et al."A note on the convergence of the mean shift".PATTERN RECOGNITION 40.6(2007):1756-1762.
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