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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...
Autores principales: | Kamycki, Krzysztof, Kapuscinski, Tomasz, Oszust, Mariusz |
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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/PMC6983028/ https://www.ncbi.nlm.nih.gov/pubmed/31877970 http://dx.doi.org/10.3390/s20010098 |
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