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21 to 30 of 86 Results
Supplemental Material for Uncertainty-Aware Multidimensional Scaling
Oct 13, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Hägele, David; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/DARUS-3104, DaRUS, V1
This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors. This dataset consists of a PDF document that contains a detailed mathematical derivation for the normal distribution UAMDS...
additional-figures.tar.gz
Oct 13, 2022 - Supplemental Material for Uncertainty-Aware Multidimensional Scaling
Gzip Archive - 15.7 MB - MD5: 0a1c73072bb6926d695f3719116a77aa
Archive containing the image files of the additional figures.
uamds-supplemental-material.pdf
Oct 13, 2022 - Supplemental Material for Uncertainty-Aware Multidimensional Scaling
Adobe PDF - 7.1 MB - MD5: c4aa9442824f73455591c1b1e8ba108f
Supplemental material containing the mathematical derivation of the stress term and gradient of UAMDS for normal distributions. Also contains additional figures.
Matlab Implementation of Efficient Updates of Redundancy Matrices
Oct 12, 2022 - Institute for Structural Mechanics
Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/DARUS-2870, DaRUS, V1
This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further information is contained in this file.
data_generation.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 4.3 KB - MD5: 1b3b70f42e43c508e7ed7300083c0fe6
efficient_update_add.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 2.1 KB - MD5: ed091981b374757a35d100b80d75d23f
efficient_update_exc.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 3.0 KB - MD5: ad621255d83ee65e9a2f3a55034d651f
efficient_update_rem.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 2.4 KB - MD5: 85aea056cea4c9180e5f666f09d848d3
LICENSE.txt
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
Plain Text - 1.3 KB - MD5: cddab5b1b6bdefbf6999b47d6716e93d
main.m
Oct 12, 2022 - Matlab Implementation of Efficient Updates of Redundancy Matrices
MATLAB Source Code - 5.4 KB - MD5: a23af60ca9e21df107a776d0839a1624
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