Adrien Lagrange

Orcid: 0000-0003-0107-0652

According to our database1, Adrien Lagrange authored at least 9 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Matrix Cofactorization for Joint Spatial-Spectral Unmixing of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysis.
Neurocomputing, 2020

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).
PhD thesis, 2019

Hierarchical Bayesian image analysis: From low-level modeling to robust supervised learning.
Pattern Recognit., 2019

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
A Bayesian Model for Joint Unmixing and Robust Classification of Hyperspectral Images.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Large-Scale Feature Selection With Gaussian Mixture Models for the Classification of High Dimensional Remote Sensing Images.
IEEE Trans. Computational Imaging, 2017

2016
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., 2016

2015
Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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