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Attributes’ Importance for Zero-Shot Pose-Classification Based on Wearable Sensors
This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventional ZSL methods have equally dealt with all the avai...
Gorde:
| Argitaratua izan da: | Sensors (Basel) |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6111934/ https://ncbi.nlm.nih.gov/pubmed/30071586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18082485 |
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