{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:10:14Z","timestamp":1705018214180},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tkde.2021.3100353","type":"journal-article","created":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T20:43:51Z","timestamp":1627418631000},"page":"1-1","source":"Crossref","is-referenced-by-count":0,"title":["On the Benefits of Two Dimensional Metric Learning"],"prefix":"10.1109","author":[{"given":"Di","family":"Wu","sequence":"first","affiliation":[]},{"given":"Fan","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Boyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chi Man","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Changjian","family":"Shui","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Qicheng","family":"Lao","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Wan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.06.043"},{"key":"ref2","first-page":"463","article-title":"Rademacher and Gaussian complexities: Risk bounds and structural results","volume":"3","author":"Bartlett","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.09.044"},{"key":"ref4","first-page":"1491","article-title":"Similarity learning for provably accurate sparse linear classification","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bellet"},{"key":"ref5","first-page":"351","article-title":"Convergence of alternating optimization","volume":"11","author":"Bezdek","year":"2003","journal-title":"Neural, Parallel Sci. Comput."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.4408441"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-015-5499-7"},{"key":"ref8","first-page":"665","article-title":"Second-order bilinear discriminant analysis","volume":"11","author":"Christoforou","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2004.827088"},{"key":"ref10","first-page":"1097","article-title":"Bilinear discriminant component analysis","volume":"8","author":"Dyrholm","year":"2007","journal-title":"J. Mach. Learn. Res."},{"key":"ref11","first-page":"513","article-title":"Neighbourhood components analysis","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Goldberger"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/imaiai\/iaz007"},{"key":"ref13","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00556"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214044"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.002"},{"key":"ref17","first-page":"862","article-title":"Regularized distance metric learning: Theory and algorithm","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Jin"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/sym11091066"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2007.896438"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/329"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2010.2082539"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1050.0234"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0179403"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/3\/3\/003"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.03.012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2887203"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2009.2036813"},{"key":"ref30","first-page":"1708","article-title":"A theoretical analysis of metric hypothesis transfer learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Perrot"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/5.939829"},{"key":"ref32","first-page":"1482","article-title":"Bilinear classifiers for visual recognition","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Pirsiavash"},{"key":"ref33","first-page":"941","article-title":"Boosting as a regularized path to a maximum margin classifier","volume":"5","author":"Rosset","year":"2004","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/2\/4\/L02"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms15404"},{"key":"ref36","first-page":"1651","article-title":"Positive semidefinite metric learning with boosting","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Shen"},{"key":"ref37","first-page":"1007","article-title":"Positive semidefinite metric learning using boosting-like algorithms","volume":"13","author":"Shen","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/383"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2731999"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.07.045"},{"key":"ref41","first-page":"1473","article-title":"Distance metric learning for large margin nearest neighbor classification","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Weinberger"},{"key":"ref42","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"Weinberger","year":"2009","journal-title":"J. Mach. Learn. Res."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/S1388-2457(02)00057-3"},{"key":"ref44","first-page":"521","article-title":"Distance metric learning with application to clustering with side-information","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Xing"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-005-3561-6"},{"key":"ref46","first-page":"1569","article-title":"Two-dimensional linear discriminant analysis","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Ye"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3016688"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/2072298.2072344"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09497697.pdf?arnumber=9497697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:57:20Z","timestamp":1705013840000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9497697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3100353","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":[[2021]]}}}