Visual attention mechanism and support vector machine based automatic image annotation | |
Hao, Zhangang; Ge, Hongwei; Wang, Long | |
刊名 | PLOS ONE
![]() |
2018 | |
卷号 | 13页码:e0206971 |
关键词 | article diagnostic test accuracy study image retrieval support vector machine visual attention |
ISSN号 | 1932-6203 |
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/3254227 |
专题 | 大连理工大学 |
作者单位 | 1.Shandong Technol & Business Univ, Sch Business Adm, Yantai, Shandong, Peoples R China. 2.Dalian Univ Technol, Sch Comp Sci & Technol, Dalian, Liaoning, Peoples R China. |
推荐引用方式 GB/T 7714 | Hao, Zhangang,Ge, Hongwei,Wang, Long. Visual attention mechanism and support vector machine based automatic image annotation[J]. PLOS ONE,2018,13:e0206971. |
APA | Hao, Zhangang,Ge, Hongwei,&Wang, Long.(2018).Visual attention mechanism and support vector machine based automatic image annotation.PLOS ONE,13,e0206971. |
MLA | Hao, Zhangang,et al."Visual attention mechanism and support vector machine based automatic image annotation".PLOS ONE 13(2018):e0206971. |
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。
修改评论