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Sasaki Metrics for Analysis of Longitudinal Data on Manifolds
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitudinal data that take values in a Riemannian manifold. A driving application is to characterize anatomical shape changes a...
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| Yayımlandı: | Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit |
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| Asıl Yazarlar: | , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2012
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4270017/ https://ncbi.nlm.nih.gov/pubmed/25530694 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CVPR.2012.6247780 |
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