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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20463
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dc.contributor.authorLiu, S-
dc.contributor.authorLiu, J-
dc.contributor.authorZhao, Q-
dc.contributor.authorCao, X-
dc.contributor.authorLi, H-
dc.contributor.authorMeng, D-
dc.contributor.authorMeng, H-
dc.contributor.authorLiu, S-
dc.date.accessioned2020-03-09T12:45:41Z-
dc.date.available2019-12-15-
dc.date.available2020-03-09T12:45:41Z-
dc.date.issued2019-
dc.identifier.citationPattern Recognition, 2019, 100 (April 2020), 107166 (14 pp.)en_US
dc.identifier.issn0031-3203-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/20463-
dc.format.extent1 - 14-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectvariational autoencoderen_US
dc.subjectmutual informationen_US
dc.subjectgenerative modelen_US
dc.titleDiscovering Influential Factors in Variational Autoencodersen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.patcog.2019.107166-
dc.relation.isPartOfPattern Recognition-
pubs.issueApril 2020-
pubs.publication-statusPublished-
pubs.volume100-
Appears in Collections:Dept of Electronic and Electrical Engineering Embargoed Research Papers

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