A graph matching algorithm based on concavely regularized convex relaxation
文献类型:期刊论文
作者 | Liu, Zhi-Yong1![]() ![]() ![]() |
刊名 | NEUROCOMPUTING
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出版日期 | 2014-06-25 |
卷号 | 134页码:140-148 |
关键词 | Graph matching Concave-convex procedure Concave regularization Frank-Wolfe algorithm Convex relaxation |
英文摘要 | In this paper we propose a concavely regularized convex relaxation based graph matching algorithm. The graph matching problem is firstly formulated as a constrained convex quadratic program by relaxing the feasible set from the permutation matrices to doubly stochastic matrices. To gradually push the doubly stochastic matrix back to be a permutation one, an objective function is constructed by adding a simple weighted concave regularization to the convex relaxation. By gradually increasing the weight of the concave term, minimization of the objective function will gradually push the doubly stochastic matrix back to be a permutation one. A concave-convex procedure (CCCP) together with the Frank-Wolfe algorithm is adopted to minimize the objective function. The algorithm can be used on any types of graphs and exhibits a comparable performance as the PATH following algorithm, a state-of-the-art graph matching algorithm but applicable only on undirected graphs. (C) 2014 Elsevier B.V. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | SIMPLICIAL DECOMPOSITION ; REPRESENTATION ; RECOGNITION ; DISTANCE |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000335486000018 |
源URL | [http://ir.ia.ac.cn/handle/173211/3038] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Zhi-Yong,Qiao, Hong,Jia, Li-Hao,et al. A graph matching algorithm based on concavely regularized convex relaxation[J]. NEUROCOMPUTING,2014,134:140-148. |
APA | Liu, Zhi-Yong,Qiao, Hong,Jia, Li-Hao,&Xu, Lei.(2014).A graph matching algorithm based on concavely regularized convex relaxation.NEUROCOMPUTING,134,140-148. |
MLA | Liu, Zhi-Yong,et al."A graph matching algorithm based on concavely regularized convex relaxation".NEUROCOMPUTING 134(2014):140-148. |
入库方式: OAI收割
来源:自动化研究所
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