Supervised learning for parameterized Koopmans-Beckmann's graph matching

doi:10.1016/j.patrec.2020.12.012

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	Supervised learning for parameterized Koopmans-Beckmann's graph matching
	Zeng, Shaofeng; Liu, Zhiyong; Yang, Xu
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
	2021-03-01
卷号	143 页码:8-13
通讯作者	Zeng, Shaofeng(shaofeng.zeng@ia.ac.cn)
摘要	In this paper, we discuss a novel graph matching problem, namely the parameterized Koopmans- Beckmann's graph matching (KBGMw). KBGMw is defined by a weighted linear combination of a series of Koopmans-Beckmann's graph matching. First, we show that KBGMw can be taken as a special case of the parameterized Lawler's graph matching, subject to certain conditions. Second, based on structured SVM, we propose a supervised learning method for automatically estimating the parameters of KBGMw. Experimental results on both synthetic and real image matching data sets show that the proposed method achieves relatively better performances, even superior to some deep learning methods. (c) 2020 Elsevier B.V. All rights reserved.
关键词	Graph matching Koopmans-Beckmann Supervised learning Structured SVM
DOI	10.1016/j.patrec.2020.12.012
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Plan of China[2016YFC0300801] ; National Key Research and Development Plan of China[2017YFB1300202] ; National Natural Science Foundation of China (NSFC)[61503383] ; National Natural Science Foundation of China (NSFC)[61633009] ; National Natural Science Foundation of China (NSFC)[U1613213]
项目资助者	National Key Research and Development Plan of China ; National Natural Science Foundation of China (NSFC)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000615785700002
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/43285
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Zeng, Shaofeng
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zeng, Shaofeng,Liu, Zhiyong,Yang, Xu. Supervised learning for parameterized Koopmans-Beckmann's graph matching[J]. PATTERN RECOGNITION LETTERS,2021,143:8-13.
APA	Zeng, Shaofeng,Liu, Zhiyong,&Yang, Xu.(2021).Supervised learning for parameterized Koopmans-Beckmann's graph matching.PATTERN RECOGNITION LETTERS,143,8-13.
MLA	Zeng, Shaofeng,et al."Supervised learning for parameterized Koopmans-Beckmann's graph matching".PATTERN RECOGNITION LETTERS 143(2021):8-13.