Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Bogdan Roman"'
Autor:
Mohameth François Sy, Bogdan Roman, Samuel Kerrien, Didac Montero Mendez, Henry Genet, Wojciech Wajerowicz, Michaël Dupont, Ian Lavriushev, Julien Machon, Kenneth Pirman, Dhanesh Neela Mana, Natalia Stafeeva, Anna-Kristin Kaufmann, Huanxiang Lu, Jonathan Lurie, Pierre-Alexandre Fonta, Alejandra Garcia Rojas Martinez, Alexander D. Ulbrich, Carolina Lindqvist, Silvia Jimenez, David Rotenberg, Henry Markram, Sean L. Hill
Publikováno v:
Semantic Web. 14:697-727
Modern data-driven science often consists of iterative cycles of data discovery, acquisition, preparation, analysis, model building and validation leading to knowledge discovery as well as dissemination at scale. The unique challenges of building and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f9492b2a0302e0584cabe8f7e2ddddc
https://doi.org/10.3233/sw-222974
https://doi.org/10.3233/sw-222974
Publikováno v:
Forum of Mathematics, Sigma, Vol 5 (2017)
This paper presents a framework for compressed sensing that bridges a gap between existing theory and the current use of compressed sensing in many real-world applications. In doing so, it also introduces a new sampling method that yields substantial
Externí odkaz:
https://doaj.org/article/b14ae6e96285471ba8ebde53efffb6df
Publikováno v:
In Respiratory Physiology & Neurobiology 31 January 2010 170(1):113-119
Autor:
Anders C. Hansen, Bogdan Roman
Publikováno v:
Springer Optimization and Its Applications ISBN: 9783030618865
Computational harmonic analysis has a rich history spanning more than half a century, where the last decade has been strongly influenced by sparse regularisation and compressed sensing. The theory has matured over the last years, and it has become ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cfbcd0ebc810e537a830855dd41a2ac
https://doi.org/10.1007/978-3-030-61887-2_6
https://doi.org/10.1007/978-3-030-61887-2_6
Autor:
Sommer, Dagmar, Bogdan, Roman, Berger, Jens, Peters, Dorothea M., Morty, Rory E., Clauss, Wolfgang G., Fronius, Martin
Publikováno v:
In Respiratory Physiology & Neurobiology 2007 158(1):97-106
Autor:
Schnizler, Mikael K., Bogdan, Roman, Bennert, Anke, Bury, Nicolas R., Fronius, Martin, Clauss, Wolfgang
Publikováno v:
In BBA - Biomembranes 2007 1768(2):317-323
Autor:
Natalia-Silvia, ASIMOPOLOS, Alexandru, STANCIU, Adrian-Aristide, ASIMOPOLOS, Laurențiu, ASIMOPOLOS, Bogdan, ROMAN-BALEA
Publikováno v:
Oltenia, Studii si Comunicari Seria Stiintele Naturii; 2022, Vol. 38 Issue 2, p35-40, 6p
Computing the spectra of operators is a fundamental problem in the sciences, with wide-ranging applications in condensed-matter physics, quantum mechanics and chemistry, statistical mechanics, etc. While there are algorithms that in certain cases con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::571d9cf649b9491d23473fc7760e2c09
Publikováno v:
IEEE Signal Processing Letters. 23:732-736
This note complements the paper "The quest for optimal sampling: Computationally efficient, structure-exploiting measurements for compressed sensing" [2]. Its purpose is to present a proof of a result stated therein concerning the recovery via compre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7519ccba0235cdb6b925420b2f1e751a
https://doi.org/10.1109/lsp.2016.2550101
https://doi.org/10.1109/lsp.2016.2550101
Publikováno v:
Applied and Numerical Harmonic Analysis ISBN: 9783319730738
We consider the problem of reconstructing a function from linear binary measurements. That is, the samples of the function are given by inner products with functions taking only the values 0 and 1. We consider three particular methods for this proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e75dd74d1b5f2a37a175ce9236e2a530
https://doi.org/10.1007/978-3-319-73074-5_3
https://doi.org/10.1007/978-3-319-73074-5_3