Handwritten character recognition by graph matching / by 383657 Tsai, Yu-Sheng

FPGA implementation of bipartite graph matching algorithm / by Kua Wee Soon, 1983-, Nasir Shaikh Husin, Fakulti Kejuruteraan Elektrik

Tensor Affinity Learning for Hyperorder Graph Matching by Zhongyang Wang, Yahong Wu, Feng Liu

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Improved DF Model Applied to Inexact Graph Matching by LI Zhijie, YI Zhilin, LI Changhua, ZHANG Jie

Subjects: “…|inexact graph matching|deep forest|decision tree|weighted…”
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Multiple object tracking based on quadratic graph matching by Jiayan Gao, Qi Zou, Hongwei Zhao

“…In this study, data association in tracking is taken as the main research task, and the authors introduce quadratic graph matching into MOT. Considering the objects in each frame as a graph, we can model the data association between two frames as a quadratic graph matching problem. …”
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Enhancing Semantic Code Search With Deep Graph Matching by Nazia Bibi, Ayesha Maqbool, Tauseef Rana, Farkhanda Afzal, Ali Akgul, Sayed M. Eldin

“…Our proposed model effectively used neural graph matching and a searching approach for semantic code retrieval. …”
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Seeded graph matching via large neighborhood statistics by Mossel, E, Xu, J

“…Unlike previous work on graph matching, which used small neighborhoods or small subgraphs with a logarithmic number of vertices in order to match vertices, our algorithms match vertices if their large neighborhoods have a significant overlap in the number of seeds.…”
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Seeded Graph Matching via Large Neighborhood Statistics by Mossel, Elchanan, Xu, Jiaming

“…Unlike previous work on graph matching, which used small neighborhoods or small subgraphs with a logarithmic number of vertices in order to match vertices, our algorithms match vertices if their large neighborhoods have a significant overlap in the number of seeds.…”
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Parallel Flow Graph Matching for Automated Program Recognition by Ritto, Patrick M.

“…A flow graph matching algorithm has been implemented on the Connection Machine which employs parallel techniques to allow efficient subgraph matching. …”
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Weakly supervised segmentation with maximum bipartite graph matching by Liu, Weide, Zhang, Chi, Lin, Guosheng, Hung, Tzu-Yi, Miao, Chunyan

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Attributed relational graph matching using genetic algorithm by Khoo, Koh Giok.

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FPGA implementation of bipartite graph matching algorith [electronic resource] / by Kua Wee Soon, 1983-

Invariant object recognition based on elastic graph matching : theory and applications / by 419001 Lee, Raymond, Liu, James

Population-wise labeling of sulcal graphs using multi-graph matching. by Rohit Yadav, François-Xavier Dupé, Sylvain Takerkart, Guillaume Auzias

“…In particular, representing cortical folding patterns as graphs of sulcal basins-termed sulcal graphs-enables to formalize the task as a graph-matching problem. In this paper, we propose to address the problem of sulcal graph matching directly at the population level using multi-graph matching techniques. …”
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On the effectiveness of graph matching attacks against privacy-preserving record linkage. by Youzhe Heng, Frederik Armknecht, Yanling Chen, Rainer Schnell

“…We show by experiments that the success of graph matching attacks requires a high overlap between encoded and plain records used for the attack. …”
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NCC Based Correspondence Problem for First- and Second-Order Graph Matching by Beibei Cui, Jean-Charles Créput

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Adaptive dynamic bipartite graph matching : a reinforcement learning approach by Wang, Yansheng, Tong, Yongxin, Long, Cheng, Xu, Pan, Xu, Ke, Lv, Weifeng

“…Online bipartite graph matching is attracting growing research attention due to the development of dynamic task assignment in sharing economy applications, where tasks need be assigned dynamically to workers. …”
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Optimising connectionist models and attributed relational graph matching for object recognition by Suganthan P. N.

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Remote Sensing Scene Graph and Knowledge Graph Matching with Parallel Walking Algorithm by Wei Cui, Yuanjie Hao, Xing Xu, Zhanyun Feng, Huilin Zhao, Cong Xia, Jin Wang

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Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network by Yujian Zhang, Daifu Liu

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