{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T14:47:22Z","timestamp":1748530042875,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-009"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-001"}],"funder":[{"name":"Singapore","award":["NRF2015ENC-GDCR01001-003; NRF2015ENC-GBICRD001-012"],"award-info":[{"award-number":["NRF2015ENC-GDCR01001-003; NRF2015ENC-GBICRD001-012"]}]},{"name":"BCA Youth Program of the National Social Science Fund of China","award":["16CXW008"],"award-info":[{"award-number":["16CXW008"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971457"],"award-info":[{"award-number":["61971457"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Intell. Mag."],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1109\/mci.2020.2976187","type":"journal-article","created":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T20:34:01Z","timestamp":1586896441000},"page":"78-88","source":"Crossref","is-referenced-by-count":2,"title":["xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes]"],"prefix":"10.1109","volume":"15","author":[{"given":"Lu","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonggang","family":"Wen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dacheng","family":"Tao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/1646396.1646452"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5379-y"},{"key":"ref32","article-title":"LogDet divergence based metric learning using triplet labels","author":"mei","year":"2013","journal-title":"ICML Workshop on Divergences and Divergence Learning (WDDL"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.126"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2445757"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102399"},{"key":"ref36","first-page":"1980","article-title":"Efficient learning of Mahalanobis metrics for ranking","author":"lim","year":"2014","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126401"},{"key":"ref34","first-page":"55","article-title":"Preliminary exploration of mechanism of action of microblog in public opinion on emergencies","volume":"117","author":"liu","year":"2013","journal-title":"J Bimon"},{"key":"ref10","first-page":"1095","article-title":"Heterogeneous domain adaptation for multiple classes","author":"zhou","year":"2014","journal-title":"Proc Int Conf Artificial Intelligence and Statistics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2332398"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5555\/2900423.2900515"},{"journal-title":"Transfer metric learning Algorithms applications and outlooks","year":"2018","author":"luo","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1561\/1500000016"},{"key":"ref15","first-page":"505","article-title":"Distance metric learning with application to clustering with side-information","author":"xing","year":"0","journal-title":"Proc Advances in Neural Information Processing Systems"},{"key":"ref16","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","author":"weinberger","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.46"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/341"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2824309"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2008.4587389"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2238682"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.283"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2791803"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2421309"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277790"},{"key":"ref5","first-page":"1806","article-title":"Multi-modal distance metric learning","author":"xie","year":"2013","journal-title":"Proc Int Joint Conf Artificial Intelligence"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.65"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2495116"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2016.7842335"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5591\/978-1-57735-516-8\/IJCAI11-259"},{"journal-title":"Government Discourse in Risk Society Problems and Countermeasures","year":"2017","author":"liu","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2009.11.037"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/4175.001.0001","author":"scholkopf","year":"2001","journal-title":"Learning With Kernels Support Vector Machines Regularization Optimization and Beyond"},{"key":"ref24","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","author":"xu","year":"2015","journal-title":"Proc Int Conf Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.434"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref25","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Advances in Neural Information Processing Systems"}],"container-title":["IEEE Computational Intelligence Magazine"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10207\/9064728\/09067782.pdf?arnumber=9067782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,4]],"date-time":"2024-08-04T00:02:30Z","timestamp":1722729750000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9067782\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":38,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/mci.2020.2976187","relation":{},"ISSN":["1556-603X","1556-6048"],"issn-type":[{"type":"print","value":"1556-603X"},{"type":"electronic","value":"1556-6048"}],"subject":[],"published":{"date-parts":[[2020,5]]}}}