Anthony Larue - researchr alias

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Viewing Publication 1 - 22 from 22

2021

Boolean decomposition of binary matrices using a post-nonlinear mixture approachSebastian Miron, Mamadou Diop, Anthony Larue, Eddy Robin, David Brie. sigpro, 178:107809, 2021. [doi]

2017

A post-nonlinear mixture model approach to binary matrix factorizationMamadou Diop, Anthony Larue, Sebastian Miron, David Brie. eusipco 2017: 321-325 [doi]

2016

Application of non-negative matrix factorization to LC/MS dataJérémy Rapin, Antoine Souloumiac, Jérôme Bobin, Anthony Larue, Christophe Junot, Minale Ouethrani, Jean-Luc Starck. sigpro, 123:75-83, 2016. [doi]

2015

Color Sparse Representations for Image Processing: Review, Models, and ProspectsQuentin Barthelemy, Anthony Larue, Jérôme I. Mars. TIP, 24(11):3978-3989, 2015. [doi]

Sparsity and Adaptivity for the Blind Separation of Partially Correlated SourcesJérôme Bobin, Jérémy Rapin, Anthony Larue, Jean-Luc Starck. tsp, 63(5):1199-1213, 2015. [doi]

2014

2013

2012

3D Rotation Invariant Decomposition of Motion SignalsQuentin Barthelemy, Anthony Larue, Jérôme I. Mars. eccv 2012: 172-182 [doi]

Shift & 2D Rotation Invariant Sparse Coding for Multivariate SignalsQuentin Barthelemy, Anthony Larue, Aurélien Mayoue, David Mercier, Jérôme I. Mars. tsp, 60(4):1597-1611, 2012. [doi]

Preprocessing for classification of sparse data: Application to trajectory recognitionAurélien Mayoue, Quentin Barthelemy, S. Onis, Anthony Larue. gacm 2012: 37-40 [doi]

From neuronal cost-based metrics towards sparse coded signals classificationAnthony Mouraud, Quentin Barthelemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy. esann 2012: [doi]

2011

Single trial variability in brain-computer interfaces based on motor imagery: Learning in the presence of labeling noiseCédric Gouy-Pailler, Michèle Sebag, Anthony Larue, Antoine Souloumiac. imst, 21(2):148-157, 2011. [doi]

Online multitechnology sensors explosive recognitionGuillaume Lebrun, Anthony Larue, Frederic Suard. eusipco 2011: 1049-2053 [doi]

2006

Comparison of supergaussianity and whiteness assumptions for blind deconvolution in noisy contextAnthony Larue, Dinh-Tuan Pham. eusipco 2006: 1-5 [doi]

Frequency-domain blind deconvolution based on mutual information rateAnthony Larue, Jérôme I. Mars, Christian Jutten. tsp, 54(5):1771-1781, 2006. [doi]

2004

Markovian Source Separation in Post-nonlinear MixturesAnthony Larue, Christian Jutten, Shahram Hosseini. ica 2004: 702-709 [doi]

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