Few-shot learning in Wi-Fi-based indoor positioning
This paper explores the use of few-shot learning in Wi-Fi-based indoor positioning, utilizing convolutional neural networks (CNNs) combined with meta-learning techniques to enhance the accuracy and efficiency of positioning systems. The focus is on addressing the challenge of limited labeled data, a...
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Main Authors: | Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng |
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Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/181449 |
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Institution: | Nanyang Technological University |
Language: | English |
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