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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Bibliografische gegevens
Hoofdauteur: Hug, Ronny (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Karlsruhe KIT Scientific Publishing 2022
Reeks:Karlsruher Schriften zur Anthropomatik 54
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