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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| 第一著者: | |
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| フォーマット: | 電子媒体 図書の章 |
| 言語: | 英語 |
| 出版事項: |
Karlsruhe
KIT Scientific Publishing
2022
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| シリーズ: | Karlsruher Schriften zur Anthropomatik
54 |
| 主題: | |
| オンライン･アクセス: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 請求記号: |
A1234.567 |
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| 所蔵 1 | 利用可 |