{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T02:34:10Z","timestamp":1792550050790,"version":"4.5.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2017,2,1]],"date-time":"2017-02-01T00:00:00Z","timestamp":1485907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"NSF IIS","award":["1651902"],"award-info":[{"award-number":["1651902"]}]},{"name":"NSF CNS","award":["1314484"],"award-info":[{"award-number":["1314484"]}]},{"name":"ONR","award":["N00014-12-1-1028"],"award-info":[{"award-number":["N00014-12-1-1028"]}]},{"name":"ONR Young Investigator Award","award":["N00014-14-1-0484"],"award-info":[{"award-number":["N00014-14-1-0484"]}]},{"DOI":"10.13039\/100000183","name":"U.S. Army Research Office Young Investigator Award","doi-asserted-by":"publisher","award":["W911NF-14-1-0218"],"award-info":[{"award-number":["W911NF-14-1-0218"]}],"id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2017,2]]},"DOI":"10.1109\/tip.2016.2631887","type":"journal-article","created":{"date-parts":[[2016,11,23]],"date-time":"2016-11-23T02:28:31Z","timestamp":1479868111000},"page":"660-670","source":"Crossref","is-referenced-by-count":155,"title":["Robust Transfer Metric Learning for Image Classification"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6994-5278","authenticated-orcid":false,"given":"Zhengming","family":"Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598654"},{"key":"ref33","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.111"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2365699"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.95"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.138"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref35","first-page":"2792","article-title":"Low-rank similarity metric learning in high dimensions","author":"liu","year":"2015","journal-title":"Proc 29th AAAI Conf Artif Intell"},{"key":"ref34","first-page":"1266","article-title":"Low rank metric learning with manifold regularization","author":"zhong","year":"2011","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"key":"ref11","first-page":"767","article-title":"Marginalized denoising autoencoders for domain adaptation","author":"chen","year":"2012","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2577885"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2567386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2510498"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2134107"},{"key":"ref16","first-page":"1327","article-title":"Robust distance metric learning with auxiliary knowledge","author":"zha","year":"2009","journal-title":"Proc 21st Int Jont Conf Artif Intell"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168768"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2332398"},{"key":"ref19","first-page":"2099","article-title":"Cross-domain metric learning based on information theory","author":"wang","year":"2014","journal-title":"Proc Assoc Adv Artif Intell"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.57"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_30"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298629"},{"key":"ref3","first-page":"1","article-title":"Discriminative low-rank metric learning for face recognition","volume":"1","author":"ding","year":"2015","journal-title":"Proc IEEE Int Conf on Auto Face and Gesture Recog"},{"key":"ref6","first-page":"543","article-title":"An efficient algorithm for local distance metric learning","volume":"2","author":"yang","year":"2006","journal-title":"Proc Assoc Adv Artif Intell"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178556"},{"key":"ref5","first-page":"591","article-title":"An information geometry approach for distance metric learning","author":"wang","year":"2009","journal-title":"Proc Conf Artif Intell Statist"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459266"},{"key":"ref7","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"weinberger","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref2","article-title":"A survey on metric learning for feature vectors and structured data","author":"bellet","year":"2013"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1109\/TPAMI.2013.134","article-title":"Neighborhood repulsed metric learning for kinship verification","volume":"36","author":"lu","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref1","first-page":"862","article-title":"Regularized distance metric learning: Theory and algorithm","author":"jin","year":"2009","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.368"},{"key":"ref21","first-page":"505","article-title":"Distance metric learning with application to clustering with side-information","author":"xing","year":"2002","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.53"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref23","first-page":"2066","article-title":"Geodesic flow kernel for unsupervised domain adaptation","author":"gong","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2462023"},{"key":"ref43","first-page":"213","article-title":"Adapting visual category models to new domains","author":"saenko","year":"2010","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.29"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/7763897\/07752933.pdf?arnumber=7752933","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:12:44Z","timestamp":1642003964000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7752933\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2]]},"references-count":43,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tip.2016.2631887","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,2]]}}}