Data Imputation for Sparse Radio Maps in Indoor Positioning-Reference-Cited by-同舟云学术

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Data Imputation for Sparse Radio Maps in Indoor Positioning

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
language:
Short-container-title:

Author:

Li Xiao¹,Li Huan²,Chan Harry Kai-Ho³,Lu Hua¹,Jensen Christian S.⁴

Affiliation:

1. Roskilde University,Department of People and Technology,Denmark

2. Zhejiang University,College of Computer Science and Technology,China

3. University of Sheffield,Information School,United Kingdom

4. Aalborg University,Department of Computer Science,Denmark

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184665.pdf?arnumber=10184665

Reference58 articles.

1. Recurrent Neural Networks for Multivariate Time Series with Missing Values

2. Multi-directional recurrent neural networks: A novel method for estimating missing data;yoon;ICML Time-series Workshop,2017

3. Crowdsourcing-based radio map update automation for wi-fi positioning systems

4. Enhancing wifi-based localization with visual clues

5. Finding Quality Responses: The Problem of Low-Quality Survey Responses and Its Impact on Accountability Measures

Cited by 3 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. Searching rooms with top-k passenger flows using indoor trajectories;Discover Computing;2024-08-23

2. On the Use and Construction of Wi-Fi Fingerprint Databases for Large-Scale Multi-Building and Multi-Floor Indoor Localization: A Case Study of the UJIIndoorLoc Database;Sensors;2024-06-13

3. Missing Value Imputation for Multi-Attribute Sensor Data Streams via Message Propagation;Proceedings of the VLDB Endowment;2023-11

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