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	A diagram retrieval method with multi-label learning
	Fu, Songping ; Lu, Xiaoqing ; Liu, Lu ; Qu, Jingwei ; Tang, Zhi
	2015
英文摘要	In recent years, the retrieval of plane geometry figures (PGFs) has attracted increasing attention in the fields of mathematics education and computer science. However, the high cost of matching complex PGF features leads to the low efficiency of most retrieval systems. This paper proposes an indirect classification method based on multi-label learning, which improves retrieval efficiency by reducing the scope of compare operation from the whole database to small candidate groups. Label correlations among PGFs are taken into account for the multi-label classification task. The primitive feature selection for multi-label learning and the feature description of visual geometric elements are conducted individually to match similar PGFs. The experiment results show the competitive performance of the proposed method compared with existing PGF retrieval methods in terms of both time consumption and retrieval quality. ? 2015 SPIE.; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1117/12.2075848
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321418]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Fu, Songping,Lu, Xiaoqing,Liu, Lu,et al. A diagram retrieval method with multi-label learning. 2015-01-01.

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