{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T15:56:24Z","timestamp":1774626984467,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773198, 61632004"],"award-info":[{"award-number":["61773198, 61632004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/tkde.2019.2932666","type":"journal-article","created":{"date-parts":[[2019,8,2]],"date-time":"2019-08-02T20:06:36Z","timestamp":1564776396000},"page":"1-1","source":"Crossref","is-referenced-by-count":23,"title":["Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport"],"prefix":"10.1109","author":[{"given":"Yang","family":"Yang","sequence":"first","affiliation":[]},{"given":"Zhao-Yang","family":"Fu","sequence":"additional","affiliation":[]},{"given":"De-Chuan","family":"Zhan","sequence":"additional","affiliation":[]},{"given":"Zhi-Bin","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.141"},{"key":"ref33","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"arXiv 1512 03385"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-017-7031-7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref37","first-page":"730","article-title":"Sparse local embeddings for extreme multi-label classification","author":"bhatia","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref36","first-page":"1868","article-title":"Fast multi-instance multi-label learning","author":"huang","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.27"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0067"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143862"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"ref11","volume":"338","author":"villani","year":"2008","journal-title":"Optimal Transport Old and New"},{"key":"ref12","first-page":"864","article-title":"Simultaneously combining multi-view multi-label learning with maximum margin classification","author":"fang","year":"2012","journal-title":"Proc IEEE Int Conf Data Mining"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.42"},{"key":"ref14","first-page":"1884","article-title":"Deep MIML network","author":"feng","year":"2017","journal-title":"Proc 31st AAAI Conf Artif Intell"},{"key":"ref15","first-page":"1680","article-title":"Multilabel classification with label correlations and missing labels","author":"bi","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.39"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098141"},{"key":"ref18","first-page":"1960","article-title":"Non-negative matrix factorization with sinkhorn distance","author":"qian","year":"2016","journal-title":"Proc 20th Int Joint Conf Artif Intell"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2615921"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2009.03.008"},{"key":"ref4","first-page":"2013","article-title":"Labeling complicated objects: Multi-view multi-instance multi-label learning","author":"nguyen","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1145\/1460096.1460104","article-title":"The MIR flickr retrieval evaluation","author":"huiskes","year":"2008","journal-title":"Proc 1st ACM Int Conf Multimedia Inf Retrieval"},{"key":"ref3","first-page":"1558","article-title":"Multi-modal image annotation with multi-instance multi-label LDA","author":"nguyen","year":"2013","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref6","first-page":"949","article-title":"Multi-label learning by exploiting label correlations locally","author":"huang","year":"2012","journal-title":"Proc 26th AAAI Conf Artif Intell"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783330"},{"key":"ref8","first-page":"630","article-title":"Fast dictionary learning with a smoothed Wasserstein loss","author":"rolet","year":"2016","journal-title":"Proc 19th Int Conf Artif Intell"},{"key":"ref7","first-page":"2053","article-title":"Learning with a Wasserstein loss","author":"frogner","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2768831"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2476658"},{"key":"ref20","first-page":"533","article-title":"Ground metric learning","volume":"15","author":"cuturi","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref45","first-page":"1968","article-title":"Partial multi-view clustering","author":"li","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref22","first-page":"661","article-title":"The earth mover's distance multi-dimensional scaling and color-based image retrieval","author":"yossi","year":"1997","journal-title":"Proc ARPA Image Understanding Workshop"},{"key":"ref21","article-title":"Label distribution learning by optimal transport","author":"zhao","year":"2018","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.03.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0719-3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"ref23","first-page":"2582","article-title":"Non-linear metric learning","author":"kedem","year":"2012","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220012"},{"key":"ref26","first-page":"2292","article-title":"Sinkhorn distances: Lightspeed computation of optimal transport","author":"cuturi","year":"2013","journal-title":"Proc 26th Int Conf Neural Inf Process Syst"},{"key":"ref43","first-page":"197","article-title":"Multi-label classification with unlabeled data: An inductive approach","author":"wu","year":"2013","journal-title":"Proc Asian Conf Mach Learn"},{"key":"ref25","volume":"6","author":"bertsimas","year":"1997","journal-title":"Introduction to Linear Optimization"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/08786171.pdf?arnumber=8786171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:47Z","timestamp":1652194247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8786171\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/tkde.2019.2932666","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}