{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:18:23Z","timestamp":1740169103418,"version":"3.37.3"},"reference-count":57,"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\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2017YFA0700800"],"award-info":[{"award-number":["2017YFA0700800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11771276","61573274","61731009"],"award-info":[{"award-number":["11771276","61573274","61731009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Capacity Construction Project of Local Universities in Shanghai","award":["18010500600"],"award-info":[{"award-number":["18010500600"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2918149","type":"journal-article","created":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T16:04:23Z","timestamp":1558541063000},"page":"68572-68583","source":"Crossref","is-referenced-by-count":1,"title":["Intrinsic Metric Learning With Subspace Representation"],"prefix":"10.1109","volume":"7","author":[{"given":"Lipeng","family":"Cai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9423-0146","authenticated-orcid":false,"given":"Shihui","family":"Ying","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2983-555X","authenticated-orcid":false,"given":"Yaxin","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changzhou","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7092-0596","authenticated-orcid":false,"given":"Shaoyi","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2152852"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2377211"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"1862","DOI":"10.1109\/TNN.2007.900813","article-title":"Comments on ‘Efficient and robust feature extraction by maximum margin criterion","volume":"18","author":"liu","year":"2007","journal-title":"IEEE Trans Neural Netw"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.860852"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.07.012"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref36","first-page":"2731","article-title":"Manifold preserving: An intrinsic approach for semisupervised distance metric learning","volume":"29","author":"ying","year":"2018","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref35","first-page":"2464","article-title":"Geometric mean metric learning","author":"zadeh","year":"2016","journal-title":"Proc Int Conf Int Conf Mach Learn (ICML)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.10.010"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2359765"},{"key":"ref29","first-page":"1213","article-title":"Discriminative metric: Schatten norm vs. Vector norm","author":"gu","year":"2012","journal-title":"Proc ICPR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.06.003"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000019"},{"key":"ref20","first-page":"41","article-title":"Learning a distance metric from relative comparisons","author":"schultz","year":"2004","journal-title":"Proc Adv NIPS"},{"key":"ref22","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":"ref21","first-page":"513","article-title":"Neighbourhood components analysis","author":"goldberger","year":"2005","journal-title":"Proc Adv NIPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2275170"},{"key":"ref23","first-page":"3230","article-title":"Latent coincidence analysis: A hidden variable model for distance metric learning","author":"der","year":"2012","journal-title":"Proc Adv NIPS"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273523"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33460-3_60"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/361573.361582"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1137\/080730421"},{"key":"ref57","first-page":"708","article-title":"Locality sensitive discriminant analysis","author":"cai","year":"2007","journal-title":"Proc IJCAI"},{"key":"ref56","first-page":"1","article-title":"Low-rank geometric mean metric learning","author":"bhutani","year":"2018","journal-title":"Proc Geometry Mach Learn (GiMLi) Workshop Int Conf Mach Learn (ICML)"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"article-title":"Columbia object image library (COIL-100)","year":"1996","author":"nene","key":"ref54"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383054"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref10","first-page":"1","article-title":"Discriminative low-rank metric learning for face recognition","author":"ding","year":"2015","journal-title":"Proc IEEE 11th Int Conf Workshops Autom Face Gesture Recognit (FG)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2776154"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.19"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2715660"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2736640"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2619261"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2405574"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611975321.48"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1142\/S012906571750040X"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2361142"},{"key":"ref19","first-page":"521","article-title":"Distance metric learning with application to clustering with side-information","author":"xing","year":"2003","journal-title":"Proc Adv NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2631887"},{"key":"ref3","first-page":"1","article-title":"Distance metric learning: A comprehensive survey","author":"yang","year":"2006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2862625"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2830802"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2319735"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2202676"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2262760"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2690970"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2365793"},{"key":"ref48","first-page":"2586","article-title":"Sparse representation for face recognition based on discriminative low-rank dictionary learning","author":"ma","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.02.015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2464090"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1109\/TPAMI.2005.55","article-title":"Face recognition using Laplacianfaces","volume":"27","author":"he","year":"2005","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2198916"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08719971.pdf?arnumber=8719971","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:54:53Z","timestamp":1641988493000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8719971\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2918149","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}