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Adaptive Indoor Area Localization for Perpetual Crowdsourced Data Collection
The accuracy of fingerprinting-based indoor localization correlates with the quality and up-to-dateness of collected training data. Perpetual crowdsourced data collection reduces manual labeling effort and provides a fresh data base. However, the decentralized collection comes with the cost of heter...
Guardat en:
| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085741/ https://ncbi.nlm.nih.gov/pubmed/32155807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051443 |
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