SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

111 to 120 of 2,151 Results

amiramesh.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 1.6 KB - MD5: f46840a8ba5f5eb6c0cd448328d45eb6 Code
download_embeddings.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 1.7 KB - MD5: 9e512511bd521fe8dc7f5e48adaec823 script to download all of the embeddings. On command line use: python3 download_embeddings.py
download_images.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 1.5 KB - MD5: ed4de7d69bd1fade0bbfe5d9f17fe968 script to download all images. On command line use: python3 download_images.py
download.sh Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Shell Script - 821 B - MD5: a43a6368829cde23690be83cb7b85f8a Code
flows.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 9.4 KB - MD5: 010dc37db9478df3ccfc301d1cda4410 Code
mds_demo.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 5.4 KB - MD5: 9597d85c23b98e62ba3b002d68027263 Code
metric_script.py Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Python Source Code - 5.6 KB - MD5: 8b51026b05787274bd81faf6ee592031 Code
metrics.csv Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Comma Separated Values - 37.5 KB - MD5: 37f2e357033db94a692a8c2a189639a5 Data
oos_streamlines0000.npz Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Unknown - 15.3 MB - MD5: 9d07be1edcd017d50b296f94653e4287 Data
oos_streamlines0001.npz Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Unknown - 15.3 MB - MD5: 25f65ed6039944baf5070b9a29c1428e Data

amiramesh.py

Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions

Python Source Code - 1.6 KB -

Code

download_embeddings.py

Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions

Python Source Code - 1.7 KB -

script to download all of the embeddings. On command line use: python3 download_embeddings.py

download_images.py

Sep 2, 2024 - Supplemental Material for Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions

Python Source Code - 1.5 KB -

script to download all images. On command line use: python3 download_images.py