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• W2888421223 abstract "High-order graph matching utilizes the high-order relations to establish the correspondences between two sets of features. It has been formulated as an optimization problem, and this problem is an NP-hard combinatorial optimization problem. This paper presents a high-order graph matching method based on ant colony optimization. A problem-specific pheromone initialization method is introduced, meanwhile local and global pheromone updating rules are redefined. The proposed algorithm is evaluated on synthetic datasets, CMU House dataset, and real-world datasets. Experimental results demonstrate that our algorithm achieves the promising performance compared with three state-of-the-art methods." @default.
• W2888421223 created "2018-08-31" @default.
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• W2888421223 date "2019-02-01" @default.
• W2888421223 modified "2023-09-22" @default.
• W2888421223 title "High-order graph matching based on ant colony optimization" @default.
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• W2888421223 doi "https://doi.org/10.1016/j.neucom.2018.02.104" @default.
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