Learning Convolutional Domain-Robust Representations for Cross-View Face Recognition
Chen, Xue; Wang, Chunheng; Xiao, Baihua; Gao, Song
Source PublicationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
2014-12-01
VolumeE97DIssue:12Pages:3239-3243
SubtypeArticle
AbstractThis 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.
KeywordCross-view Face Recognition Convolutional Deep Belief Networks Domain-robust
WOS HeadingsScience & Technology ; Technology
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000348141600031
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3747
Collection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
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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.
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