中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Semi-supervised deep extreme learning machine for Wi-Fi based localization

文献类型:期刊论文

作者Gu, Yang1,2,3; Chen, Yiqiang2,3; Liu, Junfa2,3; Jiang, Xinlong1,2,3
刊名NEUROCOMPUTING
出版日期2015-10-20
卷号166页码:282-293
关键词Wi-Fi indoor localization Semi-supervised learning Deep learning Extreme Learning Machine (ELM)
ISSN号0925-2312
DOI10.1016/j.neucom.2015.04.011
英文摘要Along with the proliferation of mobile devices and wireless signal coverage, indoor localization based on Wi-Fi gets great popularity. Fingerprint based method is the mainstream approach for Wi-Fi indoor localization, for it can achieve high localization performance as long as labeled data are sufficient. However, the number of labeled data is always limited due to the high cost of data acquisition. Nowadays, crowd sourcing becomes an effective approach to gather large number of data; meanwhile, most of them are unlabeled. Therefore, it is worth studying the use of unlabeled data to improve localization performance. To achieve this goal, a novel algorithm Semi-supervised Deep Extreme Learning Machine (SDELM) is proposed, which takes the advantages of semi-supervised learning, Deep Leaning (DL), and Extreme Learning Machine (ELM), so that the localization performance can be improved both in the feature extraction procedure and in the classifier. The experimental results in real indoor environments show that the proposed SDELM not only outperforms other compared methods but also reduces the calibration effort with the help of unlabeled data. (C) 2015 Elsevier B.V. All rights reserved.
资助项目Natural Science Foundation of China[61173066] ; Natural Science Foundation of China[61070110] ; Beijing Natural Science Foundation[4144085]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000357751200028
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/9544]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Yiqiang
作者单位1.Univ Chinese Acad Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Beijing Key Lab Mobile Comp & Pervas Device, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Gu, Yang,Chen, Yiqiang,Liu, Junfa,et al. Semi-supervised deep extreme learning machine for Wi-Fi based localization[J]. NEUROCOMPUTING,2015,166:282-293.
APA Gu, Yang,Chen, Yiqiang,Liu, Junfa,&Jiang, Xinlong.(2015).Semi-supervised deep extreme learning machine for Wi-Fi based localization.NEUROCOMPUTING,166,282-293.
MLA Gu, Yang,et al."Semi-supervised deep extreme learning machine for Wi-Fi based localization".NEUROCOMPUTING 166(2015):282-293.

入库方式: OAI收割

来源:计算技术研究所

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