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	A two-stage classification method for borehole-wall images with support vector machine
	Deng, Zhaopeng; Cao, Maoyong; Rai, Laxmisha; Gao, Wei
刊名	PLOS ONE
	2018
卷号	13期号:6
DOI	10.1371/journal.pone.0199749
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4563181
专题	山东大学
作者单位	1.Shandong Univ Sci & Technol, Dept Elect Engn & Automat, Qingdao, Shandong, Peoples R China. 2.[Rai, Laxmisha 3.Gao, Wei
推荐引用方式 GB/T 7714	Deng, Zhaopeng,Cao, Maoyong,Rai, Laxmisha,et al. A two-stage classification method for borehole-wall images with support vector machine[J]. PLOS ONE,2018,13(6).
APA	Deng, Zhaopeng,Cao, Maoyong,Rai, Laxmisha,&Gao, Wei.(2018).A two-stage classification method for borehole-wall images with support vector machine.PLOS ONE,13(6).
MLA	Deng, Zhaopeng,et al."A two-stage classification method for borehole-wall images with support vector machine".PLOS ONE 13.6(2018).

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