CASIA OpenIR  > 09年以前成果
Boosting in random subspace for face recognition
Gao, Yong; Wang, Yangsheng; Huang, DS; Li, K; Irwin, GW
2006
发表期刊INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION
卷号345页码:172-181
文章类型Article
摘要Boosting is a general method for improving the performance of any learning algorithm. In this paper, an unusual regularization technique, boosting in random subspace, is employed to improve generalization capability of boosting. Meanwhile the space complexity of training is lowered, and the classifier combination strategy can be used to further improve recognition accuracy. Using the method, we achieved 98.99% rank-1 recognition rate on FERET fb probe set.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Automation & Control Systems ; Computer Science ; Engineering
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic
WOS记录号WOS:000240385300018
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9304
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
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GB/T 7714
Gao, Yong,Wang, Yangsheng,Huang, DS,et al. Boosting in random subspace for face recognition[J]. INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,2006,345:172-181.
APA Gao, Yong,Wang, Yangsheng,Huang, DS,Li, K,&Irwin, GW.(2006).Boosting in random subspace for face recognition.INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,345,172-181.
MLA Gao, Yong,et al."Boosting in random subspace for face recognition".INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION 345(2006):172-181.
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