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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Detalles Bibliográficos
Autores principales: Kamycki, Krzysztof, Kapuscinski, Tomasz, Oszust, Mariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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