Probabilistic Principal Curves on Riemannian Manifolds
This paper studies a new curve-fitting approach to data on Riemannian manifolds. We define a principal curve based on a mixture model for observations and unobserved latent variables and propose a new algorithm to estimate the principal curve for given data points on Riemannian manifolds.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:PP |
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| Enthalten in: |
IEEE transactions on pattern analysis and machine intelligence - PP(2024) vom: 24. Jan. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Kang, Seungwoo [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Revised 25.01.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1109/TPAMI.2024.3357801 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM367563290 |
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