{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T10:40:51Z","timestamp":1777372851463,"version":"3.51.4"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2018,5,1]],"date-time":"2018-05-01T00:00:00Z","timestamp":1525132800000},"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 Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61171118"],"award-info":[{"award-number":["61171118"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2018,5]]},"DOI":"10.1109\/tmm.2017.2761985","type":"journal-article","created":{"date-parts":[[2017,10,11]],"date-time":"2017-10-11T18:12:36Z","timestamp":1507745556000},"page":"1169-1178","source":"Crossref","is-referenced-by-count":19,"title":["Ranking-Preserving Low-Rank Factorization for Image Annotation With Missing Labels"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8969-4779","authenticated-orcid":false,"given":"Xue","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bao-Di","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Jin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2764","article-title":"Wsabie:\n Scaling up to large vocabulary image annotation","volume":"11","author":"weston","year":"2011","journal-title":"Proc Int Joint Conf Artif Intell"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2168996.2169001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.03.012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2188782"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2147777"},{"key":"ref37","first-page":"933","article-title":"An efficient boosting\n algorithm for combining preferences","volume":"4","author":"freund","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148205"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2518478"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.121"},{"key":"ref10","first-page":"836","article-title":"Image annotation using metric learning in semantic neighbourhoods","author":"verma","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526757"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.31"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2014.2343234"},{"key":"ref13","first-page":"119","article-title":"Automatic\n image annotation and retrieval using crossmedia relevance models","author":"jeon","year":"0","journal-title":"Proc Int ACM SIGIR Conf Res Develop Inf Retrieval"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315274"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.61"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/860458.860460"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540000"},{"key":"ref18","first-page":"2057","article-title":"Region-based\n image annotation using asymmetrical support vector machine-based multiple-instance learning","volume":"2","author":"yang","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recogn"},{"key":"ref19","first-page":"757","article-title":"Transduction with matrix completion: Three birds with one stone","author":"goldberg","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2134078"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874028"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874031"},{"key":"ref3","first-page":"593","article-title":"Large-scale multi-label learning with\n missing labels","author":"yu","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.212"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.141"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TPAMI.2012.124","article-title":"Tag completion for image\n retrieval","volume":"35","author":"wu","year":"2013","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref8","first-page":"316","article-title":"A new\n baseline for image annotation","author":"makadia","year":"0","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2395816"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.25"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459266"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995734"},{"key":"ref20","first-page":"2301","article-title":"Speedup matrix completion\n with side information: Application to multi-label learning","author":"xu","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2565440"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2814815.2814821"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2090535"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.125"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.399"},{"key":"ref23","first-page":"1274","article-title":"Fast\n image tagging","author":"chen","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref44","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref26","first-page":"425","article-title":"Binary codes embedding for fast image tagging with incomplete labels","author":"wang","year":"0","journal-title":"In Proc European Conf Comp Vis"},{"key":"ref43","first-page":"801","article-title":"Efficient sparse coding algorithms","author":"lee","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref25","first-page":"635","article-title":"Conditional restricted\n boltzmann machines for multi-label learning with incomplete labels","author":"li","year":"2015","journal-title":"Proc Int Conf Artif Intell Statist"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/8340086\/08064669.pdf?arnumber=8064669","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T08:13:58Z","timestamp":1643184838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8064669\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5]]},"references-count":45,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tmm.2017.2761985","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5]]}}}