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 (...

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Detalles Bibliográficos
Autores principales: Gidey, Hailu Tesfay, Guo, Xiansheng, Li, Lin, Zhang, Yukun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371072/
https://www.ncbi.nlm.nih.gov/pubmed/35957393
http://dx.doi.org/10.3390/s22155840

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