Semi-supervised Fingerprint Construction and Localization System For Large Indoor Area-Reference-Cited by-同舟云学术

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Semi-supervised Fingerprint Construction and Localization System For Large Indoor Area

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)
language:
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Author:

Gao Min¹,Fei Yuanyuan¹,Wang Zhouhong¹,Ma Chunming²,Luo Li³

Affiliation:

1. Guangzhou HKUST Fok Ying Tung Research Institute,Digital Life Research Center,Guangzhou,China

2. Information Hub The Hong Kong University of Science and Technology(Guang Zhou),Data Science and Analytics Thrust,Guangzhou,China

3. Jiangsu Mashi Information Technology Co., Ltd,Research and Development Center,Jiangsu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10046416/10046428/10046610.pdf?arnumber=10046610

Reference27 articles.

1. Kernel-Based Positioning in Wireless Local Area Networks

2. HIWL: An Unsupervised Learning Algorithm for Indoor Wireless Localization

3. Growing an organic indoor location system

4. Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multiscale Spatial-Temporal Features Fusion Framework for Indoor Localization;IEEE Sensors Journal;2024-07-15

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