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Affichage des publications 541 à 550 sur 1099 au total

Machine Learning

Discrepancy-Based Active Learning for Domain Adaptation

The goal of the paper is to design active learning strategies which lead to domain adaptation under an assumption of covariate shift in the case of Lipschitz labeling function. Building on previous work by Mansour et al. (2009) we adapt the concept…

Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis

International Conference on Learning Representations -

Image Processing

Breaking down Polyblur: Fast Blind Correction of Small Anisotropic Blurs

Polyblur is a two stage blind deblurring technique for removing small-sized blurs, like small camera shake or the lens point-spread function, proposed in 2021 by Delbracio et al. First, the blur is modeled with a zero-mean anisotropic Gaussian…

Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo

Image Processing On Line -

Computer Science

Development Efforts for Reproducible Research: Platform, Library and Editorial Investment

Reproducible research in pattern recognition can be viewed from a number of angles, including code execution, platforms that promote reproducibility, code sharing, or the release of libraries providing access to relevant algorithms in the…

Miguel Colom, José Armando Hernández, Bertrand Kerautret, Benjamin Perret

RRPR 2022: Reproducible Research in Pattern Recognition -

Mathematics

Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation

The new generation of hyperspectral imagers, such as PRISMA, has improved significantly our detection capability of methane (CH4) plumes from space at high spatial resolution (30m). We present here a complete framework to identify CH4 plumes using…

Alexis Groshenry, Clement Giron, Thomas Lauvaux, Alexandre d'Aspremont, Thibaud Ehret

NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning. -