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Automatic Annotation of Unlabeled Data from Smartphone-Based Motion and Location Sensors
Automatic data annotation eliminates most of the challenges we faced due to the manual methods of annotating sensor data. It significantly improves users’ experience during sensing activities since their active involvement in the labeling process is reduced. An unsupervised learning technique such a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069149/ https://www.ncbi.nlm.nih.gov/pubmed/29970823 http://dx.doi.org/10.3390/s18072134 |