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Department of Informatics Visualization and Multimedia Lab

Publications

High-dimensional scalar function visualization using principal parameterizations

High-dimensional scalar function visualization using principal parameterizations
Rafael Ballester-Ripoll, Gaudenz Halter, and Renato Pajarola
Year: 2024
Research area: Visualization 
Type of Publication: Journal Article
Keywords: visualization, tensor approximation, multidimensional data, parameter spaces, data analytics
Book title: The Visual Computer
Volume: 40
Number  
Pages: 2571-2588

(official version here (PDF, 7 MB))

BibTeX

@article{BHP:24,
author = {Ballester-Ripoll, Rafael and Halter, Gaudenz and Pajarola, Renato},
doi = {https://doi.org/10.1007/s00371-023-02937-4},
journal = {The Visual Computer},
keywords = {visualization, tensor approximation, multidimensional data, parameter spaces, data analytics},
month = {June},
pages = {2571--2588},
title = {High-dimensional Scalar Function Visualization Using Principal Parameterizations},
volume = {40},
year = {2024}}