Minimisation de fonctions de perte calibrée pour la classification des images

Minimisation de fonctions de perte calibrée pour la classification des images

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La classification des images est aujourd'hui un défi d'une grande ampleur puisque ça concerne d’un côté les millions voir des milliards d'images qui se trouvent partout sur le web et d’autre part des images pour des applications temps réel critiques. Cette classification fait appel en...

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Bibliographic Details
Main Author:	Bel Haj Ali, Wafa
Other Authors:	Nice
Language:	en
Published:	2013
Subjects:	Apprentissage supervisé Classification des images KNN Classification linéaire Fonctions de coût Supervised learning Image classification Linear classifier Loss functions
Online Access:	http://www.theses.fr/2013NICE4079/document

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