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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Superior document:Karlsruher Schriften zur Anthropomatik
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Year of Publication:2022
Language:English
Series:Karlsruher Schriften zur Anthropomatik
Physical Description:1 electronic resource (226 p.)
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spelling Hug, Ronny auth
Probabilistic Parametric Curves for Sequence Modeling
Karlsruhe KIT Scientific Publishing 2022
1 electronic resource (226 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Karlsruher Schriften zur Anthropomatik
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.
English
Maths for computer scientists bicssc
Probabilistische Sequenzmodellierung
Stochastische Prozesse
Neuronale Netzwerke
Parametrische Kurven
Probabilistic Sequence Modeling
Stochastic Processes
Neural Networks
Parametric Curves
3-7315-1198-3
language English
format eBook
author Hug, Ronny
spellingShingle Hug, Ronny
Probabilistic Parametric Curves for Sequence Modeling
Karlsruher Schriften zur Anthropomatik
author_facet Hug, Ronny
author_variant r h rh
author_sort Hug, Ronny
title Probabilistic Parametric Curves for Sequence Modeling
title_full Probabilistic Parametric Curves for Sequence Modeling
title_fullStr Probabilistic Parametric Curves for Sequence Modeling
title_full_unstemmed Probabilistic Parametric Curves for Sequence Modeling
title_auth Probabilistic Parametric Curves for Sequence Modeling
title_new Probabilistic Parametric Curves for Sequence Modeling
title_sort probabilistic parametric curves for sequence modeling
series Karlsruher Schriften zur Anthropomatik
series2 Karlsruher Schriften zur Anthropomatik
publisher KIT Scientific Publishing
publishDate 2022
physical 1 electronic resource (226 p.)
isbn 1000146434
3-7315-1198-3
illustrated Not Illustrated
work_keys_str_mv AT hugronny probabilisticparametriccurvesforsequencemodeling
status_str n
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hierarchy_parent_title Karlsruher Schriften zur Anthropomatik
is_hierarchy_title Probabilistic Parametric Curves for Sequence Modeling
container_title Karlsruher Schriften zur Anthropomatik
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