Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Raphael Bacher"'
Autor:
Clémentine Decamps, Florian Privé, Raphael Bacher, Daniel Jost, Arthur Waguet, HADACA consortium, Eugene Andres Houseman, Eugene Lurie, Pavlo Lutsik, Aleksandar Milosavljevic, Michael Scherer, Michael G. B. Blum, Magali Richard
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background Cell-type heterogeneity of tumors is a key factor in tumor progression and response to chemotherapy. Tumor cell-type heterogeneity, defined as the proportion of the various cell-types in a tumor, can be inferred from DNA methylati
Externí odkaz:
https://doaj.org/article/33510f0e09a647fc969cdf1e7068af53
Autor:
Raphael Bacher, Sevcan Kahraman
Publikováno v:
Annual Reviews in Control. 51:236-253
With the development of remote sensing techniques, the fusion of multimodal data, particularly hyperspectral-Light Detection And Ranging (HS-LiDAR) and hyperspectral-SAR, has become an important research field in numerous application areas. Multispec
Autor:
Roland Bacon, Jarle Brinchmann, Simon Conseil, Michael Maseda, Themiya Nanayakkara, Martin Wendt, Raphael Bacher, David Mary, Peter M. Weilbacher, Davor Krajnović, Leindert Boogaard, Nicolas Bouché, Thierry Contini, Benoît Epinat, Anna Feltre, Yucheng Guo, Christian Herenz, Wolfram Kollatschny, Haruka Kusakabe, Floriane Leclercq, Léo Michel-Dansac, Roser Pello, Johan Richard, Martin Roth, Gregory Salvignol, Joop Schaye, Matthias Steinmetz, Laurence Tresse, Tanya Urrutia, Anne Verhamme, Eloise Vitte, Lutz Wisotzki, Sebastiaan L. Zoutendijk
Publikováno v:
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2023, 670, pp.A4. ⟨10.1051/0004-6361/202244187⟩
Astronomy and Astrophysics-A&A, 2023, 670, pp.A4. ⟨10.1051/0004-6361/202244187⟩
We present the second data release of the MUSE Hubble UDF surveys, which includes the deepest spectroscopic survey ever performed. The MUSE data, with their 3D content, amazing depth, wide spectral range, and excellent spatial and medium spectral res
Robust Control of Varying Weak Hyperspectral Target Detection With Sparse Nonnegative Representation
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩
IEEE Transactions on Signal Processing, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩
IEEE Transactions on Signal Processing, 2017, 65 (13), pp.3538-3550. ⟨10.1109/TSP.2017.2688965⟩
International audience; In this study, a multiple-comparison approach is developed for detecting faint hyperspectral sources. The detection method relies on a sparse and non-negative representation on a highly coherent dictionary to track a spatially
Publikováno v:
WHISPERS
Hyperspectral unmixing has attained a great importance in recent decades in remote sensing applications. Due to some external effect (illumination conditions) or internal effects (concentration of chlorophyll), spectral variability exists in hyperspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450b32b2acdfff43f1cde3814e81594b
https://aperta.ulakbim.gov.tr/record/70065
https://aperta.ulakbim.gov.tr/record/70065
Publikováno v:
EAS Publications Series. :233-245
Since 2014, the Multi Unit Spectroscopic Explorer (MUSE) instrument generates hyperspectral datacubes (300 by 300 pixels by 3600 wavelength in the visible range) of the deep Universe. One of the main purposes of the wide field spectrograph MUSE is to
Publikováno v:
ICASSP 2016-Proceedings
ICASSP 2016-41st IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2016-41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4423-4427, ⟨10.1109/ICASSP.2016.7472513⟩
ICASSP
ICASSP 2016-41st IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2016-41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4423-4427, ⟨10.1109/ICASSP.2016.7472513⟩
ICASSP
International audience; In this paper, a new robust regression method based on the Least Trimmed Squares (LTS) is proposed. The novelty of this approach consists in a simple adaptive estimation of the number of outliers. This method can be applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::971363d529570d4a8d947233df233b34
https://hal.archives-ouvertes.fr/hal-01462974
https://hal.archives-ouvertes.fr/hal-01462974
Autor:
Celine Meillier, Olivier Michel, Hacheme Ayasso, Florent Chatelain, Laure Piqueras, Roland Bacon, Raphael Bacher
Publikováno v:
Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2016, 588, pp.A140. ⟨10.1051/0004-6361/201527724⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2016, 588, pp.A140. ⟨10.1051/0004-6361/201527724⟩
Astronomy and Astrophysics-A&A, 2016, 588, pp.A140. ⟨10.1051/0004-6361/201527724⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2016, 588, pp.A140. ⟨10.1051/0004-6361/201527724⟩
International audience; We present SELFI, the Source Emission Line FInder, a new Bayesian method optimized for detection of faint galaxies in Multi Unit Spectroscopic Explorer (MUSE) deep fields. MUSE is the new panoramic integral field spectrograph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15191f25bfd80ec8dcf652856c47cd35
https://hal.science/hal-01322356/document
https://hal.science/hal-01322356/document