Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Jérôme Darbon"'
Publikováno v:
Entropy, Vol 26, Iss 8, p 691 (2024)
Maximum entropy (MaxEnt) models are a class of statistical models that use the maximum entropy principle to estimate probability distributions from data. Due to the size of modern data sets, MaxEnt models need efficient optimization algorithms to sca
Externí odkaz:
https://doaj.org/article/0e6d21466c874ab8bd20eb5b8ce2e65f
Autor:
Alex Chen, Jérôme Darbon, Carlo De Franchis, Gabriele Facciolo, Enric Meinhardt, Julien Michel, Jean-Michel Morel
Publikováno v:
Revue Française de Photogrammétrie et de Télédétection, Iss 209 (2015)
This paper illustrates how the main physical laws proposed in landscape evolution models (LEMs) can be modeled by a system of three partial differential equations governing water run-off, stream incision, hill slope evolution and sedimentation. Sever
Externí odkaz:
https://doaj.org/article/f88299c0614d4d949787d9f4990ddb80
Publikováno v:
Neural Networks. 161:185-201
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:408-441
Autor:
Gabriel P. Langlois, Jérôme Darbon
Publikováno v:
Journal of Mathematical Imaging and Vision. 63:821-854
Variational and Bayesian methods are two approaches that have been widely used to solve image reconstruction problems. In this paper, we propose original connections between Hamilton--Jacobi (HJ) partial differential equations and a broad class of Ba
Publikováno v:
SIAM Journal on Scientific Computing. 43:A4067-A4094
Autor:
Paula Chen, Taewoo Kim, Wayne K. Goodman, David A. Borton, Matthew T. Harrison, Jérôme Darbon
Deep brain stimulation (DBS) therapies have shown clinical success in the treatment of a number of neurological illnesses, including obsessive-compulsive disorder, depression, and Parkinson’s disease. An emerging strategy for increasing the efficac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01805e76132e099efaa8097cdde3d2c3
https://doi.org/10.1101/2022.05.23.493124
https://doi.org/10.1101/2022.05.23.493124
Publikováno v:
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030030094
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging ISBN: 9783030986605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8962e4bd36a49a276d65c0a4a5bb16
https://doi.org/10.1007/978-3-030-03009-4_56-1
https://doi.org/10.1007/978-3-030-03009-4_56-1
Autor:
Jérôme Darbon, Tingwei Meng
We propose novel connections between several neural network architectures and viscosity solutions of some Hamilton–Jacobi (HJ) partial differential equations (PDEs) whose Hamiltonian is convex and only depends on the spatial gradient of the solutio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23049101aaa60afaf57ca9c89a463f6c
http://arxiv.org/abs/2002.09750
http://arxiv.org/abs/2002.09750
Publikováno v:
Image Processing On Line
Image Processing On Line, IPOL-Image Processing on Line, 2018, 8, pp.219-250. ⟨10.5201/ipol.2018.205⟩
Image Processing On Line, 2018, 8, pp.219-250. ⟨10.5201/ipol.2018.205⟩
Image Processing On Line, IPOL-Image Processing on Line, 2018, 8, pp.219-250. ⟨10.5201/ipol.2018.205⟩
Image Processing On Line, 2018, 8, pp.219-250. ⟨10.5201/ipol.2018.205⟩
International audience