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GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data

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dc.contributor.authorSull, Sanghoon-
dc.date.accessioned2021-08-27T11:54:29Z-
dc.date.available2021-08-27T11:54:29Z-
dc.date.created2021-05-27-
dc.date.issued2020-06-16-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/6671-
dc.publisherIEEE Computer Society-
dc.titleGAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data-
dc.title.alternativeGAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data-
dc.typeConference-
dc.contributor.affiliatedAuthorSull, Sanghoon-
dc.identifier.bibliographicCitationThe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.relation.isPartOfThe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.relation.isPartOfThe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.citation.titleThe IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)-
dc.citation.conferencePlaceUS-
dc.citation.conferenceDate2020-06-16-
dc.type.rimsCONF-
dc.description.journalClass1-
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