Exploiting Unlabeled RSSI Fingerprints in Multi-Building and Multi-Floor Indoor Localization through Deep Semi-Supervised Learning Based on Mean Teacher

Sihao Li^*, Zhe Tang, Kyeong Soo Kim, Jeremy S. Smith

^*Corresponding author for this work

Department of Communications and Networking

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

1 Presentation at conference/workshop/seminar

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Exploiting unlabeled RSSI fingerprints in multi-building and multi-floor indoor localization through deep semi-supervised learning based on mean teacher
Kyeong Soo Kim (Speaker)
8 Aug 2023
Activity: Talk or presentation › Presentation at conference/workshop/seminar

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