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	Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model
	Zhang, Hongbin; Qiu, Diedie; Wu, Renzhong; Deng, Yixiong; Ji, Donghong; Li, Tao
刊名	APPLIED SOFT COMPUTING
	2019
卷号	80
关键词	Image attribute annotation Material attribute classification Effective range-based gene selection eXtreme gradient boosting Relative attribute
ISSN号	1568-4946
DOI	10.1016/j.asoc.2019.03.017
URL标识	查看原文
收录类别	EI ; SCIE
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4234403
专题	武汉大学
推荐引用方式 GB/T 7714	Zhang, Hongbin,Qiu, Diedie,Wu, Renzhong,et al. Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model[J]. APPLIED SOFT COMPUTING,2019,80.
APA	Zhang, Hongbin,Qiu, Diedie,Wu, Renzhong,Deng, Yixiong,Ji, Donghong,&Li, Tao.(2019).Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model.APPLIED SOFT COMPUTING,80.
MLA	Zhang, Hongbin,et al."Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model".APPLIED SOFT COMPUTING 80(2019).

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