Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Nicolas Papadakis"'
Publikováno v:
Algorithms, Vol 14, Iss 5, p 143 (2021)
This article describes a set of methods for quickly computing the solution to the regularized optimal transport problem. It generalizes and improves upon the widely used iterative Bregman projections algorithm (or Sinkhorn–Knopp algorithm). We firs
Externí odkaz:
https://doaj.org/article/5cd82482c2b24463bdc0e2b4442950fc
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 734 (2020)
In the near future, the Surface Water Ocean Topography (SWOT) mission will provide images of altimetric data at kilometric resolution. This unprecedented 2-dimensional data structure will allow the estimation of geostrophy-related quantities that are
Externí odkaz:
https://doaj.org/article/2a388a8aef31413496ffb5b834b1ba84
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 67, Iss 0, Pp 1-19 (2015)
This paper deals with the assimilation of image-type data. Such kinds of data, such as satellite images, have good properties (dense coverage in space and time), but also one crucial problem for data assimilation: they are affected by spatially corre
Externí odkaz:
https://doaj.org/article/580b6c465adb47a7abd981326deafd5c
Autor:
Thomas Corpetti, Vincent Dubreuil, Etienne Mémin, Nicolas Papadakis, Olivier Planchon, Claire Thomas
Publikováno v:
Revue Française de Photogrammétrie et de Télédétection, Iss 205 (2014)
Cet article présente les travaux que nous avons menés ces dernières années autour de l'analyse d'images Météosat Seconde Génération (MSG). Comparés à la première génération, les données MSG possèdent une résolution spatiale et tempore
Externí odkaz:
https://doaj.org/article/371eda032d3745359e45ceec71938a97
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de180efade5e9e4f6055429c5a658f7a
https://doi.org/10.5220/0011610800003417
https://doi.org/10.5220/0011610800003417
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ee2998cb7376583b4f9325a10d4694e
https://doi.org/10.1007/978-3-031-31975-4_29
https://doi.org/10.1007/978-3-031-31975-4_29
Publikováno v:
Mathematical Methods in the Applied Sciences
Mathematical Methods in the Applied Sciences, Wiley, 2020, 43 (8), pp.5339-5356. ⟨10.1002/mma.6275⟩
Mathematical Methods in the Applied Sciences, Wiley, 2020, 43 (8), pp.5339-5356. ⟨10.1002/mma.6275⟩
International audience; This paper introduces the use of the Proper Generalized Decomposition (PGD) method for the optical flow (OF) problem in a classical framework of Sobolev spaces, i.e. optical flow methods including a robust energy for the data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8637ba5055b1d1565c3396cc75da6827
https://doi.org/10.1002/mma.6275
https://doi.org/10.1002/mma.6275
Autor:
Angelica I. Aviles-Rivero, Christina Runkel, Nicolas Papadakis, Zoe Kourtzi, Carola-Bibiane Schönlieb
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3cd72eb9ae65b7f7dca8a2319d5288
https://doi.org/10.1007/978-3-031-16437-8_69
https://doi.org/10.1007/978-3-031-16437-8_69
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b36a8ce34a43348a6bd503b785ddac
https://doi.org/10.2139/ssrn.4199295
https://doi.org/10.2139/ssrn.4199295
Publikováno v:
Pattern Recognition
Pattern Recognition, Elsevier, In press, ⟨10.1016/j.patcog.2021.108274⟩
Pattern Recognition, In press, 122, pp.108274. ⟨10.1016/j.patcog.2021.108274⟩
Pattern Recognition, Elsevier, In press, ⟨10.1016/j.patcog.2021.108274⟩
Pattern Recognition, In press, 122, pp.108274. ⟨10.1016/j.patcog.2021.108274⟩
International audience; Can one learn to diagnose COVID-19 under extreme minimal supervision? Since the outbreak of the novel COVID-19 there has been a rush for developing Artificial Intelligence techniques for expert-level disease identification on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0709e0d4f21f2dc7f9288b7b909801e4
http://europepmc.org/articles/PMC8387569
http://europepmc.org/articles/PMC8387569