| dc.contributor.author | Yang, Y | en_US |
| dc.contributor.author | Hospedales, TM | en_US |
| dc.contributor.author | IEEE | en_US |
| dc.date.accessioned | 2016-04-21T12:15:33Z | |
| dc.date.available | 2016-03-11 | en_US |
| dc.date.issued | 2016 | en_US |
| dc.date.submitted | 2016-04-17T13:33:05.477Z | |
| dc.identifier.issn | 1063-6919 | en_US |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/11935 | |
| dc.description.sponsorship | This work was supported by EPSRC (EP/L023385/1), and the European Union’s Horizon 2020 research and innovation program under grant agreement No 640891. | en_US |
| dc.format.extent | 5071 - 5080 | en_US |
| dc.rights | To be published in http://cvpr2016.thecvf.com/ | |
| dc.title | Multivariate Regression on the Grassmannian for Predicting Novel Domains | en_US |
| dc.type | Conference Proceeding | |
| dc.rights.holder | © The Author(s) 2016 | |
| dc.identifier.doi | 10.1109/CVPR.2016.548 | en_US |
| pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400012305016&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
