Knowledge Commons of Institute of Automation,CAS
Ensemble learning for independent component analysis | |
Cheng, J![]() ![]() | |
发表期刊 | PATTERN RECOGNITION
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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 | |
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. |
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