Diffeomorphic transformations for time series analysis: An efficient approach to nonlinear warping.
The proliferation and ubiquity of temporal data across many disciplines has sparked interest for similarity, classification and clustering methods specifically designed to handle time series data. A core issue when dealing with time series is determining their pairwise similarity, i.e., the degree...
| Päätekijät: | , , |
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| Aineistotyyppi: | info:eu-repo/semantics/doctoralThesis |
| Kieli: | eng |
| Julkaistu: |
Servicio de Publicaciones. Universidad de Navarra
2023
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| Aiheet: | |
| Linkit: | https://hdl.handle.net/10171/67243 |