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Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition
In this paper, we address Zero-shot learning for sensor activity recognition using word embeddings. The goal of Zero-shot learning is to estimate an unknown activity class (i.e., an activity that does not exist in a given training dataset) by learning to recognize components of activities expressed...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891337/ https://www.ncbi.nlm.nih.gov/pubmed/31752376 http://dx.doi.org/10.3390/s19225043 |