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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| Autor principal: | |
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| Formato: | Electrónico Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
Karlsruhe
KIT Scientific Publishing
2022
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| Colección: | Karlsruher Schriften zur Anthropomatik
54 |
| Materias: | |
| Acceso en línea: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |