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LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization

Summary: LOCATER reframes semantic indoor localization as data cleaning: fix missing AP-device links across WiFi events and map devices to semantic subregions. Bootstrapped semi-supervised learning yields coarse localization, while probabilistic refinement achieves fine-grained, room-like accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12540
Venue
VLDB
Year
2021
Pagerank
4.1945683e-05
Overall Rank
11,536 | 19.75%
DOI
10.14778/3430915.3430923

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