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Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
Mar 13, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Krake, Tim; Klötzl, Daniel; Hägele, David; Weiskopf, Daniel, 2024, "Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material", https://doi.org/10.18419/darus-3845, DaRUS, V1
In this supplemental material, we provide the appendix (mathematically exact propagation of uncertainty) and the video material for uncertainty-aware seasonal-trend decomposition based on loess (UASTL). This material complements the main document: The paper on Uncertainty-Aware S...
original_figures_vector_graphics.zip
Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
ZIP Archive - 13.0 MB - MD5: aae79d286d67e0ea4141af1fad6f7a6c
UASTL_Appendix.pdf
Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
Adobe PDF - 239.4 KB - MD5: 0f8973f44fedf84ffed820a06bb85987
UASTL_Video_material.pdf
Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
Adobe PDF - 9.6 MB - MD5: 327040ca48b3a6cda103e433db91cda3
UASTL_Video_sensitivity_analysis.mp4
Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
MPEG-4 Video - 327.7 MB - MD5: f7e177000c2ca92ad460fe053c0f1d14
UASTL_Video_sensitivity_analysis.srt
Mar 13, 2024 - Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material
application/x-subrip - 9.0 KB - MD5: e870ee29337057520cddbc0be413d408
Your visualisations are going places: Performance data for scientific visualisation on gaming consoles
Your visualisations are going places: Performance data for scientific visualisation on gaming consoles
Mar 1, 2024 - SFB-TRR 161 INF "Collaboration Infrastructure"
Becher, Michael; Müller, Christoph; Reina, Guido; Weiskopf, Daniel; Ertl, Thomas, 2024, "Your visualisations are going places: Performance data for scientific visualisation on gaming consoles", https://doi.org/10.18419/darus-4003, DaRUS, V1
The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.
d3d11_sphere_adapt-tess.TONDERO.20230504101212.csv
Mar 1, 2024 - Your visualisations are going places: Performance data for scientific visualisation on gaming consoles
Comma Separated Values - 882.1 KB - MD5: 59e4df6ca32786adad3522d40986f6f2
d3d11_sphere_adapt-tess_unknown_20231130092702977.csv
Mar 1, 2024 - Your visualisations are going places: Performance data for scientific visualisation on gaming consoles
Comma Separated Values - 558.7 KB - MD5: 578cde30e1558b50a676082bd1070d57
d3d11_sphere_adapt-tess_unknown_20231130164308876.csv
Mar 1, 2024 - Your visualisations are going places: Performance data for scientific visualisation on gaming consoles
Comma Separated Values - 185.1 KB - MD5: a7166a0e27a59514ff893586e2a5f62f
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