SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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3,521 to 3,530 of 3,690 Results

observablehq-plot-horizon.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 267.0 KB - MD5: 58296805a4aded09a13b1e989fd628a2 Screenshot of https://observablehq.com/@observablehq/plot-horizon
observablehq-vispubdata.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 251.8 KB - MD5: 30f8ac6282d2f976e078c70450c9efdc Screenshot of https://observablehq.com/@observablehq/vispubdata
pamacha-platonic-gobstopper.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 212.1 KB - MD5: 13cb9263c1bbb334f079f7f8576b9ddb Screenshot of https://observablehq.com/@pamacha/platonic-gobstopper
robsutcliffe-dirty-planet-2.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 412.3 KB - MD5: a07dc87a638e9cfe4ff1875247676e35 Screenshot of https://observablehq.com/@robsutcliffe/dirty-planet/2
spheres.csv Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms Comma Separated Values - 21.4 MB - MD5: 4dfe84d8d490647211c528638e5b0287 Pivot table holding averaged power readings for the sphere rendering application case. The time period covered is the respective wall-clock time in each row.
volume.csv Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms Comma Separated Values - 16.2 MB - MD5: d1f1af8e94ad4a6e8fdff03c52a9581b Pivot table holding averaged power readings for the volume rendering application case. The time period covered is the respective wall-clock time in each row.
Source Code for Uncertainty-Aware Multidimensional Scaling Aug 8, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing" Hägele, David; Krake, Tim, 2022, "Source Code for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-2995, DaRUS, V1 This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space...
uamds-core-0.0.2-jar-with-dependencies.jar Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling application/java-archive - 1.6 MB - MD5: 27646e42ce06d907e9be697f4fe4c3ad All-in-one Java library .jar file. Contains compiled classes, their .java sources, and dependency libraries.
uamds-src.tar.gz Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling Gzip Archive - 27.2 KB - MD5: 90d4d720ac5024af8fab2b95c82a65df Tarball archive containing the Java project with build and readme files.
Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures Jul 11, 2022 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization" Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/DARUS-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF] Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of paper figures, considering four CVDs. As images for our study we used the...

observablehq-plot-horizon.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 267.0 KB -

Screenshot of https://observablehq.com/@observablehq/plot-horizon

observablehq-vispubdata.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 251.8 KB -

Screenshot of https://observablehq.com/@observablehq/vispubdata

pamacha-platonic-gobstopper.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 212.1 KB -

Screenshot of https://observablehq.com/@pamacha/platonic-gobstopper

robsutcliffe-dirty-planet-2.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 412.3 KB -

Screenshot of https://observablehq.com/@robsutcliffe/dirty-planet/2

spheres.csv

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

Comma Separated Values - 21.4 MB -

Pivot table holding averaged power readings for the sphere rendering application case. The time period covered is the respective wall-clock time in each row.

volume.csv

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

Comma Separated Values - 16.2 MB -

Pivot table holding averaged power readings for the volume rendering application case. The time period covered is the respective wall-clock time in each row.

Source Code for Uncertainty-Aware Multidimensional Scaling

Aug 8, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Hägele, David; Krake, Tim, 2022, "Source Code for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-2995, DaRUS, V1

This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space...

uamds-core-0.0.2-jar-with-dependencies.jar

Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling

application/java-archive - 1.6 MB -

All-in-one Java library .jar file. Contains compiled classes, their .java sources, and dependency libraries.

uamds-src.tar.gz

Aug 8, 2022 - Source Code for Uncertainty-Aware Multidimensional Scaling

Gzip Archive - 27.2 KB -

Tarball archive containing the Java project with build and readme files.

Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

Jul 11, 2022 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization"

Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/DARUS-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF]

Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of paper figures, considering four CVDs. As images for our study we used the...

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