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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,...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299091/ https://www.ncbi.nlm.nih.gov/pubmed/25615729 http://dx.doi.org/10.3390/s141223871 |