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Empirical intrinsic geometry for nonlinear modeling and time series filtering
In this paper, we present a method for time series analysis based on empirical intrinsic geometry (EIG). EIG enables one to reveal the low-dimensional parametric manifold as well as to infer the underlying dynamics of high-dimensional time series. By incorporating concepts of information geometry, t...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
National Academy of Sciences
2013
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3732962/ https://ncbi.nlm.nih.gov/pubmed/23847205 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1307298110 |
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