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

CASIA OpenIR > 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

	Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition
	Chen, Xue; Wang, Chunheng; Xiao, Baihua; Gao, Song
发表期刊	IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
	2014-12-01
卷号	E97D 期号:12 页码:3239-3243
文章类型	Article
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.
关键词	Cross-view Face Recognition Convolutional Deep Belief Networks Domain-robust
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000348141600031
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3747
专题	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
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
第一作者单位	中国科学院自动化研究所
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.