## 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
Data over voice using time-warping technique
โ Scribed by Dov Wulich; Moshe Bukris
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 586 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0165-1684
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