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Image segmentation: from the Mumford Shah conjecture to more global variational formulations by deep learning

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dc.contributor.author Morel, Jean-Michel en_US
dc.date.accessioned 2020/07/15 10:43:30
dc.date.available 2020/07/15 10:43:30
dc.date.issued 2020
dc.identifier.citation MOREL, Jean-Michel (2020) : Image segmentation: from the Mumford Shah conjecture to more global variational formulations by deep learning. - In: Calculus of Variations and Applications: international conference to celebrate Gianni Dal Maso's 65th Birthday 2020: 27 January - 2 February, Trieste (Italy) en_US
dc.identifier.uri http://preprints.sissa.it:8180/xmlui/handle/1963/35383
dc.description Morel, Jean-Michel (École Normale Supérieure, Cachan) en_US
dc.language.iso en en_US
dc.publisher SISSA en_US
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ en_US
dc.subject Mathematical Sciences en_US
dc.subject Calculus of variations en_US
dc.title Image segmentation: from the Mumford Shah conjecture to more global variational formulations by deep learning en_US
dc.type Conference proceedings en_US
dc.contributor.area Mathematics en_US
dc.rights.license Attribution-NonCommercial-NoDerivs: it only allows others to download the works and share them with others as long as they credit the author(s), but they can’t change them in any way or use them commercially. en_US


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