Semi-supervised deep extreme learning machine for Wi-Fi based localization

doi:10.1016/j.neucom.2015.04.011

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Semi-supervised deep extreme learning machine for Wi-Fi based localization
	Gu, Yang 1,2,3; Chen, Yiqiang 2,3; Liu, Junfa 2,3; Jiang, Xinlong 1,2,3
刊名	NEUROCOMPUTING
	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
DOI	10.1016/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
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000357751200028
内容类型	期刊论文
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.