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...
Main Authors: | Krzysztof Kamycki, Tomasz Kapuscinski, Mariusz Oszust |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-12-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/1/98 |
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