Blind Calibration by Maximizing Correlation-Reference-Cited by-同舟云学术

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Blind Calibration by Maximizing Correlation

Published:2021-09-21 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers
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Author:

Li Guodong¹,Wu Zhiyuan²,Liu Ning²,Liu Xinyu¹,Wang Yue²,Zhang Lin¹

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China and Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China

2. Dept. of Electronic Engineering, Tsinghua University, China and Dept. of Electronic Engineering, Tsinghua University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3460418.3480402

Reference16 articles.

1. ICT

2. Network Maximal Correlation

3. Das statistische Problem der Korrelation als Variations- und Eigenwertproblem und sein Zusammenhang mit der Ausgleichsrechnung

4. A Connection between Correlation and Contingency

5. An information-theoretic approach to universal feature selection in high-dimensional inference

Cited by 2 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 Variational Bayesian Blind Calibration Approach for Air Quality Sensor Deployments;IEEE Sensors Journal;2023-04-01

2. Multi-Task Learning Based Blind Calibration for Low-Cost Air Quality Sensor Deployments;Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems;2022-11-06

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