中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Ensemble learning for independent component analysis

文献类型:期刊论文

作者Cheng, J; Liu, QS; Lu, HQ; Chen, YW
刊名PATTERN RECOGNITION
出版日期2006
卷号39期号:1页码:81-88
关键词independent component analysis ensemble learning random independent subspace face recognition majority voting
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]BLIND SEPARATION ; FACE-RECOGNITION ; EIGENFACES ; ALGORITHM
收录类别SCI
语种英语
WOS记录号WOS:000233222700007
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9354]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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