Cargando…
OHetTLAL: An Online Transfer Learning Method for Fingerprint-Based Indoor Positioning
In an indoor positioning system (IPS), transfer learning (TL) methods are commonly used to predict the location of mobile devices under the assumption that all training instances of the target domain are given in advance. However, this assumption has been criticized for its shortcomings in dealing w...
Autores principales: | Gidey, Hailu Tesfay, Guo, Xiansheng, Zhong, Ke, Li, Lin, Zhang, Yukun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735931/ https://www.ncbi.nlm.nih.gov/pubmed/36501747 http://dx.doi.org/10.3390/s22239044 |
Ejemplares similares
-
Data Fusion Methods for Indoor Positioning Systems Based on Channel State Information Fingerprinting
por: Gidey, Hailu Tesfay, et al.
Publicado: (2022) -
Heterogeneous Transfer Learning for Wi-Fi Indoor Positioning Based Hybrid Feature Selection
por: Gidey, Hailu Tesfay, et al.
Publicado: (2022) -
Co-Occurrence Fingerprint Data-Based Heterogeneous Transfer Learning Framework for Indoor Positioning
por: Huang, Jian, et al.
Publicado: (2022) -
Few-Shot Learning for WiFi Fingerprinting Indoor Positioning
por: Ma, Zhenjie, et al.
Publicado: (2023) -
CSI Amplitude Fingerprinting for Indoor Localization with Dictionary Learning
por: Liu, Wen, et al.
Publicado: (2021)