HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning
dc.contributor.author | Al Machot, Fadi | |
dc.contributor.author | Ullah, Mohib | |
dc.contributor.author | Ullah, Habib | |
dc.date.accessioned | 2023-06-06T10:22:05Z | |
dc.date.available | 2023-06-06T10:22:05Z | |
dc.date.created | 2022-09-22T13:33:34Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Journal of Imaging. 2022, 8 (6), . | |
dc.identifier.issn | 2313-433X | |
dc.identifier.uri | https://hdl.handle.net/11250/3070099 | |
dc.language.iso | eng | |
dc.title | HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning | |
dc.title.alternative | HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning | |
dc.type | Peer reviewed | |
dc.type | Journal article | |
dc.description.version | publishedVersion | |
dc.source.pagenumber | 0 | |
dc.source.volume | 8 | |
dc.source.journal | Journal of Imaging | |
dc.source.issue | 6 | |
dc.identifier.doi | 10.3390/jimaging8060171 | |
dc.identifier.cristin | 2054356 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 |