Very High Resolution Land Cover Mapping of Urban Areas at Global Scale with Convolutional Neural Networks

no code implementations • 12 May 2020 • Thomas Tilak, Arnaud Braun, David Chandler, Nicolas David, Sylvain Galopin, Amélie Lombard, Michaël Michaud, Camille Parisel, Matthieu Porte, Marjorie Robert

This paper describes a methodology to produce a 7-classes land cover map of urban areas from very high resolution images and limited noisy labeled data.

Inference with selection, varying population size and evolving population structure: Application of ABC to a forward-backward coalescent process with interactions

1 code implementation • 22 Oct 2019 • Clotilde Lepers, Sylvain Billiard, Matthieu Porte, Sylvie Méléard, Viet Chi Tran

Second, we develop an Approximate Bayesian Computation framework to use our model for analyzing genetic data.

Populations and Evolution Probability Applications 92D25, 60J80, 92D15, 60J75