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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| Superior document: | Karlsruher Schriften zur Anthropomatik |
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| Year of Publication: | 2022 |
| Language: | English |
| Series: | Karlsruher Schriften zur Anthropomatik
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| Physical Description: | 1 electronic resource (226 p.) |
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