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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| Format: | Online |
| Idioma: | anglès |
| Publicat: |
KIT Scientific Publishing
2022
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| Matèries: | |
| Accés en línia: | ONIX_20220718_9783731511984_116 |
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