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371 to 380 of 415 Results
sol_sampling_lp_alpha1.txt
Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP
Plain Text - 49.6 MB - MD5: 7b194efe8ddaaebcf8d4d71776f55a38
verifier_master_route_ratio.ipynb
Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP
Jupyter Notebook - 9.9 KB - MD5: 30e31c7a2d54cb71e23acd6a6d771a6a
verifier_sampling.ipynb
Sep 20, 2023 - Replication Data for: Improved guarantees for the a priori TSP
Jupyter Notebook - 16.1 KB - MD5: f7cb442527dcec3d0bad84ec5f5ae59e
Implementation of An Elastic Basis for Spectral Shape Correspondence
Jun 30, 2023
Hartwig, Florine; Sassen, Josua; Azencot, Omri; Rumpf, Martin; Ben Chen, Mirela, 2023, "Implementation of An Elastic Basis for Spectral Shape Correspondence", https://doi.org/10.60507/FK2/DXOEHJ, bonndata, V1
An implementation of a spectral non-isometric correspondence method that aligns extrinsic features using a functional map approach. To this end, we propose and use a novel crease-aware spectral basis derived from the Hessian of an elastic thin shell energy.
Cartoon.py
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Python Source Code - 5.2 KB - MD5: 961da4ef607bcbd00c446473e7621873
CatLion.py
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Python Source Code - 3.4 KB - MD5: 774db60cb87fba93e7eeeab6d403dd5f
LICENSE
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Plain Text - 1.0 KB - MD5: c922847940d3c9dfd2d1d030c4d11437
README.md
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Markdown Text - 3.1 KB - MD5: 5b54a5f04018b17d9847e936ca1e3545
Shape.py
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Python Source Code - 2.2 KB - MD5: 7356fff1e94301ab6baa6f167d53c63e
Solver.py
Jun 30, 2023 - Implementation of An Elastic Basis for Spectral Shape Correspondence
Python Source Code - 8.7 KB - MD5: 0b3d580725afd97c4f04850dbb625c3c
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