Probabilistic Parametric Curves for Sequence Modeling
This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advant...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Karlsruhe
KIT Scientific Publishing
2022
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| Colección: | Karlsruher Schriften zur Anthropomatik
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009672507906719 |
