## 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
Online summarization of dynamic time series data
β Scribed by Umit Y. Ogras; Hakan Ferhatosmanoglu
- Publisher
- Springer-Verlag
- Year
- 2005
- Tongue
- English
- Weight
- 627 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1066-8888
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