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Target Tracking and Classification from Labeled and Unlabeled Data in Wireless Sensor Networks
Tracking the locations and identities of moving targets in the surveillance area of wireless sensor networks is studied. In order to not rely on high-cost sensors that have been used in previous researches, we propose the integrated localization and classification based on semi-supervised learning,...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4299091/ https://ncbi.nlm.nih.gov/pubmed/25615729 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s141223871 |
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