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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...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6891337/ https://ncbi.nlm.nih.gov/pubmed/31752376 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19225043 |
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