Commit 7d829da4 authored by Alexandre Kirszenberg's avatar Alexandre Kirszenberg
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kirszenberg.19.seminar

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......@@ -3770,6 +3770,35 @@ recherche et d'analyse d'information (lexicale, s\'emantique etc.).
pr\'eexistants aux programmes \'ecrits en langage Go.}
}
@TechReport{ kirszenberg.19.seminar,
author = {Alexandre Kirszenberg},
title = {Integrating Mathematical Morphology within Deep Convolutional
Neural Networks},
titre = {Int\'egration de la Morphologie Math\'ematique dans les
R\'eseaux Neuronaux Profonds},
institution = {EPITA Research and Development Laboratory (LRDE)},
year = 2019,
number = 1913,
abstract = {Image Segmentation is the process of identifying the outline
of objects in the composition of an image. In recent years, the use of Deep
Convolutional Neural Networks for the purpose of Image Segmentation has
spiked, with results outperforming more classical approaches. We will
explore the implementation and potential applications of integrating
filters from the theory of Mathematical Morphology within the structure of
a Deep Convolutional Neural Network.},
resume = {La segmentation d'image est le processus d'identification du
contour des objets qui composent une image. Ces derni\`eres ann\'ees,
l'utilisation de R\'eseaux Neuronaux Convolutionnels Profonds aux fins de
la segmentation d'image a fortement augment\'e, avec des r\'esultats
sup\'erieurs \`a ceux d'approches plus classiques. Nous explorerons
l'impl\'ementation et les applications potentielles des filtres de la
th\'eorie de la Morphologie Math\'ematique dans la structure d'un R\'eseau
Neuronal Convolutionnel Profond.},
resumecourt = {Nous pr\'esentons une impl\'ementation des filtres de
Morphologie Math\'ematique au sein d'un R\'eseau Neuronal Convolutionnel
Profond.}
}
@TechReport{ lazzara.07.seminar,
oldkeys = {lazzara.ma.07.seminar.boosting.vcsn},
author = {Guillame Lazzara and Jimmy Ma},
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