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Ensemble extreme learning machine and sparse representation classification
Cao J.1,2; Hao J.1; Lai X.1,2; Vong C.-M.3; Luo M.4
2016
Source PublicationJournal of the Franklin Institute
ISSN160032
Volume353Issue:17Pages:4526
Abstract

Extreme learning machine (ELM) combining with sparse representation classification (ELM-SRC) has been developed for image classification recently. However, employing a single ELM network with random hidden parameters may lead to unstable generalization and data partition performance in ELM-SRC. To alleviate this deficiency, we propose an enhanced ensemble based ELM and SRC algorithm (En-SRC) in this paper. Rather than using the output of a single ELM to decide the threshold for data partition, En-SRC incorporates multiple ensembles to enhance the reliability of the classifier. Different from ELM-SRC, a theoretical analysis on the data partition threshold selection of En-SRC is given. Extension to the ensemble based regularized ELM with SRC (EnR-SRC) is also presented in the paper. Experiments on a number of benchmark classification databases show that the proposed methods win a better classification performance with a lower computational complexity than the ELM-SRC approach. © 2016 The Franklin Institute

DOI10.1016/j.jfranklin.2016.08.024
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Engineering ; Mathematics
WOS SubjectAutomation & Control Systems ; Engineering, Multidisciplinary ; Engineering, Electrical & Electronic ; Mathematics, Interdisciplinary Applications
WOS IDWOS:000387200900009
The Source to ArticleScopus
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Cited Times [WOS]:31   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Key Lab for IOT and Information Fusion Technology of Zhejiang, Hangzhou Dianzi University, Zhejiang 310018, China
2.Institute of Information and Control, Hangzhou Dianzi University, Zhejiang, 310018, China
3.Faculty of Science and Technology, University of Macau, Macau, China
4.Department of Mathematics, China Jiliang University, Hangzhou, Zhejiang, 310018, China
Recommended Citation
GB/T 7714
Cao J.,Hao J.,Lai X.,et al. Ensemble extreme learning machine and sparse representation classification[J]. Journal of the Franklin Institute,2016,353(17):4526.
APA Cao J.,Hao J.,Lai X.,Vong C.-M.,&Luo M..(2016).Ensemble extreme learning machine and sparse representation classification.Journal of the Franklin Institute,353(17),4526.
MLA Cao J.,et al."Ensemble extreme learning machine and sparse representation classification".Journal of the Franklin Institute 353.17(2016):4526.
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