{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T03:18:02Z","timestamp":1783653482497,"version":"3.55.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004040","name":"KU Leuven","doi-asserted-by":"publisher","award":["ERC Grant 259112"],"award-info":[{"award-number":["ERC Grant 259112"]}],"id":[{"id":"10.13039\/501100004040","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004040","name":"KU Leuven","doi-asserted-by":"publisher","award":["FP7-MC-CIG 334380"],"award-info":[{"award-number":["FP7-MC-CIG 334380"]}],"id":[{"id":"10.13039\/501100004040","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2020,3,1]]},"DOI":"10.1109\/tpami.2018.2883039","type":"journal-article","created":{"date-parts":[[2018,11,23]],"date-time":"2018-11-23T19:33:35Z","timestamp":1543001615000},"page":"735-748","source":"Crossref","is-referenced-by-count":20,"title":["The Lov\u00e1sz Hinge: A Novel Convex Surrogate for Submodular Losses"],"prefix":"10.1109","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2612-1762","authenticated-orcid":false,"given":"Jiaqian","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2640-181X","authenticated-orcid":false,"given":"Matthew B.","family":"Blaschko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390195"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9781139177801.004","article-title":"Submodular function maximization","author":"krause","year":"2014","journal-title":"Tractability Practical Approaches to Hard Problems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1046"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20591"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30214-8_2"},{"key":"ref36","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Eur Conf Comput Vis"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.131"},{"key":"ref34","article-title":"OverFeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2014","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref10","first-page":"423","article-title":"Condensed filter tree for cost-sensitive multi-label classification","author":"li","year":"2014","journal-title":"Proc 31st Int Conf Mach Learn"},{"key":"ref11","first-page":"1795","article-title":"HC-search for multi-label prediction: An empirical study","author":"doppa","year":"2014","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-014-0060-7"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.03.001"},{"key":"ref14","first-page":"118","article-title":"Structured sparsity-inducing norms through submodular functions","author":"bach","year":"2010","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref15","article-title":"The Lov&#x00E1;sz-Bregman divergence and connections to rank aggregation, clustering, and web ranking","author":"iyer","year":"2013","journal-title":"Uncertainty Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0"},{"key":"ref17","author":"fujishige","year":"2005","journal-title":"Submodular Functions and Optimization"},{"key":"ref18","first-page":"25","article-title":"Max-margin Markov networks","author":"taskar","year":"2004","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4929-3"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5802\/aif.53"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7443.003.0015","article-title":"Generalization bounds and consistency for structured labeling","author":"mcallester","year":"2007","journal-title":"Predicting Structured Data"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-1009-2"},{"key":"ref3","first-page":"1453","article-title":"Large margin methods for structured and interdependent output variables","volume":"6","author":"tsochantaridis","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88682-2_2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-009-5108-8"},{"key":"ref5","first-page":"1007","article-title":"On the consistency of multiclass classification methods","volume":"8","author":"tewari","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref8","first-page":"279","article-title":"Bayes optimal multilabel classification via probabilistic classifier chains","author":"cheng","year":"2010","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.77"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000907"},{"key":"ref9","first-page":"1512","article-title":"Submodular multi-label learning","author":"petterson","year":"2011","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref1","first-page":"1623","article-title":"Learning submodular losses with the Lov&#x00E1;sz hinge","author":"yu","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1561\/2200000006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/BF01588971"},{"key":"ref21","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF01584082"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-68874-4_10"},{"key":"ref26","article-title":"Polyhedral aspects of submodularity, convexity and concavity","author":"iyer","year":"2015","journal-title":"arXiv preprint arXiv 1506 03857"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1561\/2200000039"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/8984605\/08543656.pdf?arnumber=8543656","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T13:07:29Z","timestamp":1694092049000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8543656\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,1]]},"references-count":39,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2018.2883039","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":[[2020,3,1]]}}}