Face recognition using overcomplete independent component analysis

CASIA OpenIR > 09年以前成果

	Face recognition using overcomplete independent component analysis
	Cheng, J; Lu, HQ; Chen, YW ; Zeng, XY ; Palade, V ; Howlett, RJ ; Jain, L
发表期刊	KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS
	2003
卷号	2773 页码:1443-1448
文章类型	Article
摘要	Most current face recognition algorithms find a set of basis functions in a subspace by training the input data. However, in many applications, the training data is limited or only a few training data are available. In the case, these classic algorithms degrade rapidly. The overcomplete independent component analysis (overcomplete ICA) can separate out more source signals than the input data. In this paper, we use the overcomplete ICA for face recognition with the limited training data. The experimental results show that the overcomplete ICA can improve efficiently the recognition rate.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SEPARATION
收录类别	ISTP ; SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000186518000194
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9884
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Ryukyus, Fac Engn, Dept EEE, Nishihara, Okinawa 90301, Japan
推荐引用方式 GB/T 7714	Cheng, J,Lu, HQ,Chen, YW,et al. Face recognition using overcomplete independent component analysis[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS,2003,2773:1443-1448.
APA	Cheng, J.,Lu, HQ.,Chen, YW.,Zeng, XY.,Palade, V.,...&Jain, L.(2003).Face recognition using overcomplete independent component analysis.KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS,2773,1443-1448.
MLA	Cheng, J,et al."Face recognition using overcomplete independent component analysis".KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS 2773(2003):1443-1448.