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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| Главный автор: | |
|---|---|
| Формат: | Online |
| Язык: | английский |
| Опубликовано: |
KIT Scientific Publishing
2022
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| Предметы: | |
| Online-ссылка: | ONIX_20220718_9783731511984_116 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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