{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T10:28:38Z","timestamp":1789381718048,"version":"build-2803163510"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2016,3,1]],"date-time":"2016-03-01T00:00:00Z","timestamp":1456790400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong Provincial Government of China"},{"name":"Computational Science Innovative Research Team Program"},{"DOI":"10.13039\/501100001809","name":"National Natural Science of Foundation of China","doi-asserted-by":"crossref","award":["61472456"],"award-info":[{"award-number":["61472456"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science of Foundation of China","doi-asserted-by":"crossref","award":["U1135001"],"award-info":[{"award-number":["U1135001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61522115"],"award-info":[{"award-number":["61522115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Pearl River Science and Technology Rising Star Project","award":["2013J2200068"],"award-info":[{"award-number":["2013J2200068"]}]},{"name":"Guangdong Natural Science Funds for Distinguished Young Scholar","award":["S2013050014265"],"award-info":[{"award-number":["S2013050014265"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2016,3,1]]},"DOI":"10.1109\/tpami.2015.2453984","type":"journal-article","created":{"date-parts":[[2015,7,8]],"date-time":"2015-07-08T18:45:44Z","timestamp":1436381144000},"page":"591-606","source":"Crossref","is-referenced-by-count":141,"title":["Towards Open-World Person Re-Identification by One-Shot Group-Based Verification"],"prefix":"10.1109","volume":"38","author":[{"given":"Wei-Shi","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Sun Yat-sen University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaogang","family":"Gong","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Xiang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Computer Science, Queen Mary University of London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","article-title":"Evaluating\n appearance models for recognition, reacquisition, and tracking","author":"gray","year":"0","journal-title":"Proc IEEE Int Workshop Perform Eval Tracking Surveillance"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-6296-4_1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_56"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"ref11","article-title":"Neighbourhood components analysis","author":"goldberger","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.223"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1109\/TPAMI.2006.80","article-title":"Principal\n axis-based correspondence between multiple cameras for people tracking","volume":"28","author":"hu","year":"2006","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/2510650.2510658"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.246"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.138"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.460"},{"key":"ref45","article-title":"A convex formulation for learning task relationships in multi-task learning","author":"zhang","year":"0","journal-title":"Proc Conf Uncertainty AI"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995598"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5244\/C.23.23"},{"key":"ref42","article-title":"Distance\n metric learning for large margin nearest neighbor classification","author":"weinberger","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.57"},{"key":"ref44","first-page":"543","article-title":"An efficient algorithm for\n local distance metric learning","author":"yang","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738579"},{"key":"ref49","first-page":"2650","article-title":"Transfer\n re-identification: From person to set-based verification","author":"zheng","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539926"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409092"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2134107"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.68"},{"key":"ref3","first-page":"161","article-title":"The\n tradeoffs of large scale learning","author":"bottou","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref6","first-page":"1375","article-title":"Domain transfer SVM for video concept\n detection","author":"duan","year":"0","journal-title":"Proc IEEE Conf Comput Vis Pattern Recog"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383046"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0420-4"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI.2009.42"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.5244\/C.23.80"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2255413"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5244\/C.24.21"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.64"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref32","article-title":"One-shot\n learning with a hierarchical nonparametric Bayesian model","author":"salakhutdinov","year":"0","journal-title":"Proc Workshop Unsupervised Transfer Learning"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.117"},{"key":"ref1","first-page":"1817","article-title":"A framework for learning predictive structures from multiple tasks and unlabeled data","volume":"6","author":"ando","year":"0","journal-title":"J Mach Learning Res"},{"key":"ref39","year":"2008"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315241"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33863-2_41"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2013.6738736"},{"key":"ref26","first-page":"677","article-title":"Transfer\n learning via dimensionality reduction","author":"pan","year":"0","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247987"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1109\/TPAMI.2006.79","article-title":"One-shot\n learning of object categories","volume":"28","author":"li","year":"2006","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.463"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37331-2_3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.1176"},{"key":"ref27","article-title":"Large margin multi-task metric learning","author":"parameswaran","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.426"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/7398218\/07152932.pdf?arnumber=7152932","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,27]],"date-time":"2023-04-27T22:36:07Z","timestamp":1682634967000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7152932\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,1]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2015.2453984","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,1]]}}}