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

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dc.contributor.areaMathematicsen_US
dc.contributor.authorMorel, Jean-Michelen_US
dc.date.accessioned2020/07/15 10:43:30
dc.date.available2020/07/15 10:43:30
dc.date.issued2020
dc.descriptionMorel, Jean-Michel (École Normale Supérieure, Cachan)en_US
dc.identifier.citationMOREL, 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.urihttps://openscience.sissa.it/handle/1963/35383
dc.language.isoenen_US
dc.publisherSISSAen_US
dc.rights.licenseAttribution-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
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.subjectMathematical Sciencesen_US
dc.subjectCalculus of variationsen_US
dc.titleImage segmentation: from the Mumford Shah conjecture to more global variational formulations by deep learningen_US
dc.typeConference proceedingsen_US
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Calculus of Variations and Applications: international conference to celebrate ​​Gianni Dal Maso's 65th Birthday 2020: 27 January - 2 February, Trieste (Italy)