Indoor Positioning Based on Hybrid Domain Transfer Learning
In multiple sources jointly indoor positioning context, in the offline phase, it is easier to obtain enough sample features from multiple sources to form multiple source domains, but we have difficulties in obtaining enough sample features in real positioning phase due to sensors fault or changing e...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9133641/ |