QQ客服 官方微博 反馈留言

	Joint distance and similarity measure learning based on triplet-based constraints
	Li, Mu; Wang, Qilong; Zhang, David; Li, Peihua; Zuo, Wangmeng
刊名	INFORMATION SCIENCES
	2017
卷号	406页码:119-132
关键词	Metric learning Support vector machine Kernel function Max-margin model
ISSN号	0020-0255
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3285144
专题	大连理工大学
作者单位	1.Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China. 2.Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China. 3.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China.
推荐引用方式 GB/T 7714	Li, Mu,Wang, Qilong,Zhang, David,et al. Joint distance and similarity measure learning based on triplet-based constraints[J]. INFORMATION SCIENCES,2017,406:119-132.
APA	Li, Mu,Wang, Qilong,Zhang, David,Li, Peihua,&Zuo, Wangmeng.(2017).Joint distance and similarity measure learning based on triplet-based constraints.INFORMATION SCIENCES,406,119-132.
MLA	Li, Mu,et al."Joint distance and similarity measure learning based on triplet-based constraints".INFORMATION SCIENCES 406(2017):119-132.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。