Probabilistic summarization via importance-driven sampling for large-scale patch-based scientific data visualization-Reference-Cited by-同舟云学术

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Probabilistic summarization via importance-driven sampling for large-scale patch-based scientific data visualization

Published:2022-08 Issue: Volume:106 Page:119-129
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Yang Yang^ORCID,Wu Yu,Cao Yi

Funder

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference41 articles.

1. Homogeneity guided probabilistic data summaries for analysis and visualization of large-scale data sets;Dutta,2017

2. Science at extreme scale: Architectural challenges and opportunities;Nowell,2014

3. Visualizing spatial distribution data sets;Luo,2003

4. Statistically quantitative volume visualization;Kniss,2005

5. Potter K, Krüger J, Johnson C. Towards the visualization of multi-dimensional stochastic distribution data. In: Proceedings of the international conference on computer graphics and visualization (IADIS) 2008, Vol. 53. 2008.

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1. Editorial note;Computers & Graphics;2022-08

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