dc.contributor.advisor | This is a pre-copyedited, author-produced version of an article accepted for publication in Artificial Intelligence following peer review. The version of record is available http://www.sciencedirect.com/science/article/pii/S0004370217300681?via%3Dihub | |
dc.contributor.author | Wang, J | en_US |
dc.contributor.author | Zhu, X | en_US |
dc.contributor.author | Gong, S | en_US |
dc.date.accessioned | 2017-08-18T10:18:02Z | |
dc.date.available | 2017-05-25 | en_US |
dc.date.issued | 2017-09 | en_US |
dc.date.submitted | 2017-07-02T22:50:26.723Z | |
dc.identifier.issn | 0004-3702 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/25309 | |
dc.description.sponsorship | This work was partially supported by the China Scholarship Council, Vision Semantics Limited, and Royal Society Newton Advanced Fellowship Programme (NA150459). | en_US |
dc.format.extent | 16 - 36 | en_US |
dc.relation.ispartof | ARTIFICIAL INTELLIGENCE | en_US |
dc.subject | Visual semantic structure | en_US |
dc.subject | Tag hierarchy | en_US |
dc.subject | Tag correlation | en_US |
dc.subject | Sparse tags | en_US |
dc.subject | Incomplete tags | en_US |
dc.subject | Data clustering | en_US |
dc.subject | Missing tag completion | en_US |
dc.subject | Random forest | en_US |
dc.title | Discovering visual concept structure with sparse and incomplete tags | en_US |
dc.type | Article | |
dc.rights.holder | https://doi.org/10.1016/j.artint.2017.05.002 | |
dc.identifier.doi | 10.1016/j.artint.2017.05.002 | en_US |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000409285900002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | No embargo | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 250 | en_US |
qmul.funder | Newton Advanced Fellowship: Person Re-Identification::Royal Society | en_US |