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 adva...
保存先:
第一著者: | |
---|---|
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
|
シリーズ: | Karlsruher Schriften zur Anthropomatik
|
主題: | |
オンライン・アクセス: | DOAB: download the publication DOAB: description of the publication |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
Search Result 1