Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Vijay Mahadevan"'
B-spline models are a powerful way to represent scientific data sets with a functional approximation. However, these models can suffer from spurious oscillations when the data to be approximated are not uniformly distributed. Model regularization (i.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d60d8c0097937f815543a5ec4bc16ba
http://arxiv.org/abs/2301.01209
http://arxiv.org/abs/2301.01209
Publikováno v:
Mathematics and Visualization ISBN: 9783030816261
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf455f39a2200d891c69e04b9ad3744
https://doi.org/10.1007/978-3-030-81627-8_17
https://doi.org/10.1007/978-3-030-81627-8_17
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087509
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fe381b55151896af7a7ba1b27cb1dc6
https://doi.org/10.1007/978-3-031-08751-6_11
https://doi.org/10.1007/978-3-031-08751-6_11
Autor:
Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
International Journal for Numerical Methods in Engineering. 118:258-275
We show that deep convolutional neural networks (CNN) can massively outperform traditional densely-connected neural networks (both deep or shallow) in predicting eigenvalue problems in mechanics. In this sense, we strike out in a new direction in mec
Publikováno v:
Proposed for presentation at the SIAM Conference on Computational Science and Engineering held March 1-5, 2021 in Fort Worth, TX, US..
Autor:
Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava
We address the problem of scene layout generation for diverse domains such as images, mobile applications, documents, and 3D objects. Most complex scenes, natural or human-designed, can be expressed as a meaningful arrangement of simpler compositiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::978424b0844c627ad83e3e7bb72e4314