Ensemble learning for independent component analysis

CASIA OpenIR > 09年以前成果

	Ensemble learning for independent component analysis
	Cheng, J; Liu, QS ; Lu, HQ; Chen, YW
发表期刊	PATTERN RECOGNITION
	2006
卷号	39 期号:1 页码:81-88
文章类型	Article
摘要	It is well known that the applicability of independent component analysis (ICA) to high-dimensional pattern recognition tasks such as face recognition often suffers from two problems. One is the small sample size problem. The other is the choice of basis functions (or independent components). Both problems make ICA classifier unstable and biased. In this paper, we propose an enhanced ICA algorithm by ensemble learning approach, named as random independent subspace (RIS), to deal with the two problems. Firstly, we use the random resampling technique to generate some low dimensional feature subspaces, and one classifier is constructed in each feature subspace. Then these classifiers are combined into an ensemble classifier using a final decision rule. Extensive experimentations performed on the FERET database suggest that the proposed method can improve the performance of ICA classifier. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
关键词	Independent Component Analysis Ensemble Learning Random Independent Subspace Face Recognition Majority Voting
WOS标题词	Science & Technology ; Technology
关键词[WOS]	BLIND SEPARATION ; FACE-RECOGNITION ; EIGENFACES ; ALGORITHM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000233222700007
引用统计	被引频次：20[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/173211/9354
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.Nokia Res Ctr, Beijing 100013, Peoples R China
推荐引用方式 GB/T 7714	Cheng, J,Liu, QS,Lu, HQ,et al. Ensemble learning for independent component analysis[J]. PATTERN RECOGNITION,2006,39(1):81-88.
APA	Cheng, J,Liu, QS,Lu, HQ,&Chen, YW.(2006).Ensemble learning for independent component analysis.PATTERN RECOGNITION,39(1),81-88.
MLA	Cheng, J,et al."Ensemble learning for independent component analysis".PATTERN RECOGNITION 39.1(2006):81-88.