{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T00:49:15Z","timestamp":1773449355353,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61672280"],"award-info":[{"award-number":["61672280"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61373060"],"award-info":[{"award-number":["61373060"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61732006"],"award-info":[{"award-number":["61732006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"crossref","award":["2017YFB0802300"],"award-info":[{"award-number":["2017YFB0802300"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Jiangsu 333 Project","award":["BRA2017377"],"award-info":[{"award-number":["BRA2017377"]}]},{"name":"Pre-Research Fund of EDD, Qing Lan Project"},{"DOI":"10.13039\/501100012154","name":"Funding of Jiangsu Innovation Program for Graduate Education","doi-asserted-by":"crossref","award":["KYLX15_0320"],"award-info":[{"award-number":["KYLX15_0320"]}],"id":[{"id":"10.13039\/501100012154","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1109\/tip.2017.2782366","type":"journal-article","created":{"date-parts":[[2017,12,11]],"date-time":"2017-12-11T19:24:52Z","timestamp":1513020292000},"page":"1542-1553","source":"Crossref","is-referenced-by-count":38,"title":["Robust Distance Metric Learning via Bayesian Inference"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3627-2051","authenticated-orcid":false,"given":"Dong","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xiaoyang","family":"Tan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33709-3_35"},{"key":"ref38","first-page":"513","article-title":"Neighbourhood components analysis","author":"goldberger","year":"2004","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107298019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1214\/11-BA601"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33347-7_7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3975(01)00403-0"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2012.680819"},{"key":"ref35","first-page":"ii-415","article-title":"Bayesian max-margin multi-task learning with data augmentation","author":"li","year":"2014","journal-title":"Proc ICML"},{"key":"ref34","first-page":"1196","article-title":"Learning with noisy labels","author":"natarajan","year":"2013","journal-title":"Proc NIPS"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5499-7"},{"key":"ref27","first-page":"441","article-title":"On the generalization ability of online learning algorithms for pairwise loss functions","author":"kar","year":"2013","journal-title":"Proc ICML"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/0020-0190(96)00006-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459197"},{"key":"ref1","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","author":"weinberger","year":"2005","journal-title":"Proc NIPS"},{"key":"ref20","first-page":"1836","article-title":"Robust distance metric learning via simultaneous L1-norm minimization and maximization","author":"wang","year":"2014","journal-title":"Proc ICML"},{"key":"ref22","first-page":"1799","article-title":"Bayesian inference with posterior regularization and applications to infinite latent SVMs","volume":"15","author":"zhu","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref21","first-page":"1321","article-title":"Robust distance metric learning in the presence of label noise","author":"wang","year":"2014","journal-title":"Proc AAAI"},{"key":"ref24","first-page":"442","article-title":"Bayesian active distance metric learning","author":"yang","year":"2007","journal-title":"Proc UAI"},{"key":"ref23","author":"zhu","year":"2016","journal-title":"Max-margin nonparametric latent feature models for link prediction"},{"key":"ref26","first-page":"1871","article-title":"Similarity learning for provably accurate sparse linear classification","author":"bellet","year":"2012","journal-title":"Proc ICML"},{"key":"ref25","first-page":"1303","article-title":"Stochastic variational inference","volume":"14","author":"hoffman","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref50","first-page":"499","article-title":"Stability and generalization","volume":"2","author":"bousquet","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref10","first-page":"1575","article-title":"Risk minimization in the presence of label noise","author":"gao","year":"2016","journal-title":"Proc AAAI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533164"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858115"},{"key":"ref13","first-page":"862","article-title":"Regularized distance metric learning: Theory and algorithm","author":"jin","year":"2009","journal-title":"Proc NIPS"},{"key":"ref14","first-page":"1327","article-title":"Robust distance metric learning with auxiliary knowledge","author":"zha","year":"2009","journal-title":"Proc IJCAI"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_46"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.138"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623678"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939853"},{"key":"ref19","first-page":"306","article-title":"Estimating a kernel Fisher discriminant in the presence of label noise","author":"lawrence","year":"2001","journal-title":"Proc ICML"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.164"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2466117"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2553446"},{"key":"ref5","first-page":"3655","article-title":"Large scale similarity learning using similar pairs for person verification","author":"yang","year":"2016","journal-title":"Proc AAAI"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2619261"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2502144"},{"key":"ref49","article-title":"Labeled faces in the wild: A database for studying face recognition in unconstrained environments","author":"huang","year":"2007"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631887"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.06.001"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref48","first-page":"6","article-title":"Deep face recognition","author":"parkhi","year":"2015","journal-title":"Proc BMVC"},{"key":"ref47","author":"he","year":"2015","journal-title":"Deep residual learning for image recognition"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2692280"},{"key":"ref41","first-page":"2464","article-title":"Geometric mean metric learning","author":"zadeh","year":"2016","journal-title":"Proc ICML"},{"key":"ref44","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Proc CVPR"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8167422\/08186228.pdf?arnumber=8186228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:25:10Z","timestamp":1642004710000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8186228\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tip.2017.2782366","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3]]}}}