arXiv Machine Learning June 9, 2026 By Sihao Li, Zhe Tang, Kyeong Soo Kim, Jeremy S. Smith

Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting

Read the original on arXiv Machine Learning →

arXiv:2407. 13303v2 Announce Type: replace Abstract: Conventional large-scale indoor localization based on Wi-Fi RSSI fingerprinting faces issues of time-consuming and labor-intensive labeled data collection, limited generalization of a model trained under a supervised learning (SL) framework due to its inability to leverage unlabeled data, and model performance degradation in dynamic scenarios with environmental variations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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