Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Anthony Larue"'
Autor:
Juliette Lamamy, Anthony Larue, Julie Mariot, Christine Dhommée, Marie-Véronique Demattei, Yves Delneste, Valérie Gouilleux-Gruart
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
The neonatal Fc receptor (FcRn) plays a central role in recycling and biodistributing immunoglobulin G. FcRn is also involved in many physiological immune functions as well as pathological immune responses in cancer or autoimmune diseases. Low levels
Externí odkaz:
https://doaj.org/article/720929d698e243a284fe53128a80f049
Publikováno v:
IFAC-PapersOnLine. 52:13-17
In this paper we aim at assessing the potential of Binary Matrix Factorization (BMF) in the implementation of recommendation systems, by analyzing a Netflix dataset. In particular, we study the explanatory power and the prediction capability of a par
Publikováno v:
Signal Processing
Signal Processing, Elsevier, 2021, 178, pp.107809. ⟨10.1016/j.sigpro.2020.107809⟩
Signal Processing, 2021, 178, pp.107809. ⟨10.1016/j.sigpro.2020.107809⟩
Signal Processing, Elsevier, 2021, 178, pp.107809. ⟨10.1016/j.sigpro.2020.107809⟩
Signal Processing, 2021, 178, pp.107809. ⟨10.1016/j.sigpro.2020.107809⟩
International audience; We introduce a novel binary matrix factorization (BMF) approach based on a post-nonlinear mixture model. Unlike the existing BMF methods, which are based on the classical matrix product, the proposed mixture model is equivalen
Autor:
Jean-Luc Starck, Minale Ouethrani, Jeremy Rapin, Chistophe Junot, Anthony Larue, Antoine Souloumiac, Jérôme Bobin
Publikováno v:
Signal Processing: Image Communication
Signal Processing: Image Communication, Elsevier, 2016, 123, pp.75-83. ⟨10.1016/j.sigpro.2015.12.014⟩
Signal Processing: Image Communication, 2016, 123, pp.75-83. ⟨10.1016/j.sigpro.2015.12.014⟩
Signal Processing: Image Communication, Elsevier, 2016, 123, pp.75-83. ⟨10.1016/j.sigpro.2015.12.014⟩
Signal Processing: Image Communication, 2016, 123, pp.75-83. ⟨10.1016/j.sigpro.2015.12.014⟩
International audience; Liquid Chromatography-Mass Spectrometry (LC/MS) provides large datasets from which one needs to extract the relevant information. Since these data are made of non-negative mixtures of non-negative mass spectra, non-negative ma
Publikováno v:
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (11), pp.3978-3989. ⟨10.1109/TIP.2015.2458175⟩
IEEE Transactions on Image Processing, 2015, 24 (11), pp.3978-3989. ⟨10.1109/TIP.2015.2458175⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (11), pp.3978-3989. ⟨10.1109/TIP.2015.2458175⟩
IEEE Transactions on Image Processing, 2015, 24 (11), pp.3978-3989. ⟨10.1109/TIP.2015.2458175⟩
International audience; Sparse representations have been extended to deal with color images composed of three channels. A review of dictionary-learning-based sparse representations for color images is made here, detailing the differences between the
Publikováno v:
25th European Signal Processing Conference, EUSIPCO 2017
25th European Signal Processing Conference, EUSIPCO 2017, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081221⟩
EUSIPCO
25th European Signal Processing Conference, EUSIPCO 2017, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081221⟩
EUSIPCO
International audience; In this paper, we address the Binary Matrix Factori-zation (BMF) problem which is the restriction of the nonnegative matrix factorization (NMF) to the binary matrix case. A necessary and sufficient condition for the identifiab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7afce47f117416305db3ee4b651fa87
https://hal.science/hal-01558843/document
https://hal.science/hal-01558843/document
Publikováno v:
Signal Processing
Signal Processing, Elsevier, 2014, 98, pp.423-437. ⟨10.1016/j.sigpro.2013.12.004⟩
Signal Processing, 2014, 98, pp.423-437. ⟨10.1016/j.sigpro.2013.12.004⟩
Signal Processing, Elsevier, 2014, 98, pp.423-437. ⟨10.1016/j.sigpro.2013.12.004⟩
Signal Processing, 2014, 98, pp.423-437. ⟨10.1016/j.sigpro.2013.12.004⟩
International audience; A new model for describing a three-dimensional (3D) trajectory is proposed in this paper. The studied trajectory is viewed as a linear combination of rotatable 3D patterns. The resulting model is thus 3D rotation invariant (3D
Publikováno v:
IEEE Signal Processing Letters
IEEE Signal Processing Letters, 2014, 21 (2), pp.240-243. ⟨10.1109/LSP.2014.2299066⟩
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, 21 (2), pp.240-243. ⟨10.1109/LSP.2014.2299066⟩
IEEE Signal Processing Letters, 2014, 21 (2), pp.240-243. ⟨10.1109/LSP.2014.2299066⟩
IEEE Signal Processing Letters, Institute of Electrical and Electronics Engineers, 2014, 21 (2), pp.240-243. ⟨10.1109/LSP.2014.2299066⟩
International audience; In this letter, a review of the quaternionic least mean squares (QLMS) algorithm is proposed. Three versions coming from three derivation ways exist: the original QLMS based on component wise gradients, the HR-QLMS based on a
Publikováno v:
International Journal of Imaging Systems and Technology. 21:148-157
This article addresses the issue of learning efficient linear spatial filters and a classification function to match noninvasive electroencephalographic (EEG) signals to motor imagery tasks voluntarily performed by the subjects. The new perspective u
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2015, 63 (5), pp.1199-1213. ⟨10.1109/TSP.2015.2391071⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (5), pp.1199-1213. ⟨10.1109/TSP.2015.2391071⟩
IEEE Transactions on Signal Processing, 2015, 63 (5), pp.1199-1213. ⟨10.1109/TSP.2015.2391071⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (5), pp.1199-1213. ⟨10.1109/TSP.2015.2391071⟩
Blind source separation (BSS) is a very popular technique to analyze multichannel data. In this context, the data are modeled as the linear combination of sources to be retrieved. For that purpose, standard BSS methods all rely on some discrimination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7609f178e060ca01e306e1898d109bc2
https://hal.science/hal-01093148/document
https://hal.science/hal-01093148/document