中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition

文献类型:期刊论文

作者Chen, Xue; Wang, Chunheng; Xiao, Baihua; Gao, Song
刊名IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
出版日期2014-12-01
卷号E97D期号:12页码:3239-3243
关键词cross-view face recognition convolutional deep belief networks domain-robust
英文摘要This paper proposes to obtain high-level, domain-robust representations for cross-view face recognition. Specially, we introduce Convolutional Deep Belief Networks (CDBN) as the feature learning model, and an CDBN based interpolating path between the source and target views is built to model the correlation of cross-view data. The promising results outperform other state-of-the-art methods.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems ; Computer Science, Software Engineering
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000348141600031
源URL[http://ir.ia.ac.cn/handle/173211/3747]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
作者单位Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Chen, Xue,Wang, Chunheng,Xiao, Baihua,et al. Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2014,E97D(12):3239-3243.
APA Chen, Xue,Wang, Chunheng,Xiao, Baihua,&Gao, Song.(2014).Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E97D(12),3239-3243.
MLA Chen, Xue,et al."Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E97D.12(2014):3239-3243.

入库方式: OAI收割

来源:自动化研究所

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