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dc.contributor.authorEdelstein, Michal
dc.contributor.authorGuillen, Nestor
dc.contributor.authorSolomon, Justin
dc.contributor.authorBen-Chen, Mirela
dc.date.accessioned2023-09-15T15:16:53Z
dc.date.available2023-09-15T15:16:53Z
dc.date.issued2023-07-23
dc.identifier.isbn979-8-4007-0159-7
dc.identifier.urihttps://hdl.handle.net/1721.1/152161
dc.publisherACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedingsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3588432.3591523en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleA Convex Optimization Framework for Regularized Geodesic Distancesen_US
dc.typeArticleen_US
dc.identifier.citationEdelstein, Michal, Guillen, Nestor, Solomon, Justin and Ben-Chen, Mirela. 2023. "A Convex Optimization Framework for Regularized Geodesic Distances."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-08-01T07:52:59Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-08-01T07:53:00Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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