Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition
	Chen, Xue; Wang, Chunheng; Xiao, Baihua; Gao, Song
刊名	IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
	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
内容类型	期刊论文
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.