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SELM: Semi-supervised ELM with application in sparse calibrated location estimation

文献类型：期刊论文

作者Liu, Junfa1; Chen, Yiqiang1; Liu, Mingjie1,2; Zhao, Zhongtang1,2
刊名NEUROCOMPUTING
出版日期2011-09-01
卷号74期号:16页码:2566-2572
关键词Semi-supervised extreme learning machine Location estimation Sparse calibration Graph Laplacian
ISSN号0925-2312
DOI10.1016/j.neucom.2010.12.043
英文摘要Indoor location estimation based on Wi-Fi has attracted more and more attention from both research and industry fields. It brings two significant challenges. One is requiring a vast amount of labeled calibration data. The other is real-time training and testing for location estimation task. Traditional machine learning methods cannot get high performance in both aspects. This paper proposed a novel semi-supervised learning method SELM (semi-supervised extreme learning machine) and applied it to sparse calibrated location estimation. There are two advantages of the proposed SELM. First, it employs graph Laplacian regularization to import large number of unlabeled samples which can dramatically reduce labeled calibration samples. Second, it inherits the good property of ELM on extreme training and testing speed. Comparative experiments show that with same number of labeled samples, our method outperforms original ELM and back propagation (BP) network, especially in the case that the calibration data is very sparse. (C) 2011 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[90820303] ; National Natural Science Foundation of China[61070110] ; National 863 High Technology Research and Development Program of China[2009AA01Z320] ; Beijing Municipal Education Commission
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000295106000019
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/13168]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Liu, Junfa
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Junfa,Chen, Yiqiang,Liu, Mingjie,et al. SELM: Semi-supervised ELM with application in sparse calibrated location estimation[J]. NEUROCOMPUTING,2011,74(16):2566-2572.
APA Liu, Junfa,Chen, Yiqiang,Liu, Mingjie,&Zhao, Zhongtang.(2011).SELM: Semi-supervised ELM with application in sparse calibrated location estimation.NEUROCOMPUTING,74(16),2566-2572.
MLA Liu, Junfa,et al."SELM: Semi-supervised ELM with application in sparse calibrated location estimation".NEUROCOMPUTING 74.16(2011):2566-2572.

入库方式： OAI收割

来源：计算技术研究所

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