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Data Augmentation with Suboptimal Warping for Time-Series Classification
In this paper, a novel data augmentation method for time-series classification is proposed. In the introduced method, a new time-series is obtained in warped space between suboptimally aligned input examples of different lengths. Specifically, the alignment is carried out constraining the warping pa...
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| Опубликовано в: : | Sensors (Basel) |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6983028/ https://ncbi.nlm.nih.gov/pubmed/31877970 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010098 |
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