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 adva...
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| Hoofdauteur: | |
|---|---|
| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
Karlsruhe
KIT Scientific Publishing
2022
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| Reeks: | Karlsruher Schriften zur Anthropomatik
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| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
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OAPEN Library: description of the publication
Probabilistic Parametric Curves for Sequence Modeling
Gepubliceerd in 2022
OAPEN Library: download the publication
OAPEN Library: description of the publication
Elektronisch
Hoofdstuk