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Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning Based Hybrid Feature Selection
This paper presents the application of heterogeneous transfer learning (HetTL) methods which consider hybrid feature selection to reduce the training calibration effort and the noise generated by fingerprint duplicates obtained from multiple Wi-Fi access points. The Cramer–Rao Lower Bound analysis (...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371072/ https://www.ncbi.nlm.nih.gov/pubmed/35957393 http://dx.doi.org/10.3390/s22155840 |