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...
Saved in:
| Superior document: | Karlsruher Schriften zur Anthropomatik |
|---|---|
| : | |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Karlsruher Schriften zur Anthropomatik
|
| Physical Description: | 1 electronic resource (226 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 01669nam-a2200385z--4500 | ||
|---|---|---|---|
| 001 | 993552351104498 | ||
| 005 | 20231214132819.0 | ||
| 006 | m o d | ||
| 007 | cr|mn|---annan | ||
| 008 | 202208s2022 xx |||||o ||| 0|eng d | ||
| 020 | |a 1000146434 | ||
| 035 | |a (CKB)5580000000346214 | ||
| 035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/90637 | ||
| 035 | |a (EXLCZ)995580000000346214 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Hug, Ronny |4 auth | |
| 245 | 1 | 0 | |a Probabilistic Parametric Curves for Sequence Modeling |
| 260 | |a Karlsruhe |b KIT Scientific Publishing |c 2022 | ||
| 300 | |a 1 electronic resource (226 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruher Schriften zur Anthropomatik | |
| 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. | ||
| 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 | ||
| 776 | |z 3-7315-1198-3 | ||
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:31:42 Europe/Vienna |f system |c marc21 |a 2022-07-25 16:01:35 Europe/Vienna |g false | ||
| AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5339345140004498&Force_direct=true |Z 5339345140004498 |b Available |8 5339345140004498 | ||