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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| Main Author: | |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Karlsruhe
KIT Scientific Publishing
2022
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| Series: | Karlsruher Schriften zur Anthropomatik
54 |
| Subjects: | |
| Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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| 245 | 1 | 0 | |a Probabilistic Parametric Curves for Sequence Modeling |
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| 490 | 1 | |a Karlsruher Schriften zur Anthropomatik |v 54 | |
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| 520 | |a 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 advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation. | ||
| 540 | |a Creative Commons |f by/4.0 |2 cc |4 http://creativecommons.org/licenses/by/4.0 | ||
| 546 | |a English | ||
| 650 | 7 | |a Maths for computer scientists |2 bicssc | |
| 653 | |a Probabilistische Sequenzmodellierung | ||
| 653 | |a Stochastische Prozesse | ||
| 653 | |a Neuronale Netzwerke | ||
| 653 | |a Parametrische Kurven | ||
| 653 | |a Probabilistic Sequence Modeling | ||
| 653 | |a Stochastic Processes | ||
| 653 | |a Neural Networks | ||
| 653 | |a Parametric Curves | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/id/8c85425a-c748-4a7d-951c-47ee666ad9cf/9783731511984.pdf |7 0 |z OAPEN Library: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/57539 |7 0 |z OAPEN Library: description of the publication |