Adrien Lagrange

12 papers C 1Misc 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
2020	J	`jnl`	Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis. Neurocomputing Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
2019	—	`—`	From representation learning to thematic classification - Application to hierarchical analysis of hyperspectral images. (De l'apprentissage de représentation à la classification thématique - Application à l'analyse hiérarchique d'images hyperspectrales). Adrien Lagrange
2019	J	`jnl`	Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning. Pattern Recognit. Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
2019	J	`jnl`	Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis. CoRR Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
2019	—	`conf`	Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images. EUSIPCO Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
2019	J	`jnl`	Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images. CoRR Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
2018	Misc	`conf`	A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images. ICASSP Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
2017	J	`jnl`	Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning. CoRR Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
2017	J	`jnl`	Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images. IEEE Trans. Computational Imaging Adrien Lagrange, Mathieu Fauvel, Manuel Grizonnet
2016	J	`jnl`	Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Manuel Campos-Taberner, Adriana Romero-Soriano, Carlo Gatta, Gustau Camps-Valls, Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu, Michal Shimoni, Gabriele Moser, Devis Tuia
2015	C	`conf`	Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks. IGARSS Adrien Lagrange, Bertrand Le Saux, Anne Beaupère, Alexandre Boulch, Adrien Chan-Hon-Tong, Stéphane Herbin, Hicham Randrianarivo, Marin Ferecatu