## Abstract We propose an approach to embedding time series data in a vector space based on the distances obtained from Dynamic Time Warping (DTW), and classifying them in the embedded space. Under the problem formulation in which both labeled data and unlabeled data are given beforehand, we consid
DISTANCES OF TIME SERIES COMPONENTS BY MEANS OF SYMBOLIC DYNAMICS
โ Scribed by KELLER, KARSTEN; WITTFELD, KATHARINA
- Book ID
- 118738220
- Publisher
- World Scientific Publishing Company
- Year
- 2004
- Tongue
- English
- Weight
- 386 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0218-1274
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