{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T00:43:05Z","timestamp":1777423385110,"version":"3.51.4"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC1907169"],"award-info":[{"award-number":["XLYC1907169"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Department of Science and Technology of Guangxi Zhuang Autonomous Region","award":["AA19254029"],"award-info":[{"award-number":["AA19254029"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771229"],"award-info":[{"award-number":["61771229"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772149"],"award-info":[{"award-number":["61772149"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976041"],"award-info":[{"award-number":["61976041"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076115"],"award-info":[{"award-number":["62076115"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62161007"],"award-info":[{"award-number":["62161007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program of Star of Dalian Youth Science and Technology","award":["2019RQ033"],"award-info":[{"award-number":["2019RQ033"]}]},{"name":"Program of Star of Dalian Youth Science and Technology","award":["2020RQ053"],"award-info":[{"award-number":["2020RQ053"]}]},{"name":"National Key RD Program of China","award":["2018AAA0100300"],"award-info":[{"award-number":["2018AAA0100300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tkde.2022.3178145","type":"journal-article","created":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T19:38:32Z","timestamp":1653593912000},"page":"1-1","source":"Crossref","is-referenced-by-count":18,"title":["Selecting the Best Part from Multiple Laplacian Autoencoders for Multi-view Subspace Clustering"],"prefix":"10.1109","author":[{"given":"Kewei","family":"Tang","sequence":"first","affiliation":[{"name":"School of Mathematics, Liaoning Normal University, Dalian, 116029, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiqiang","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou 325035, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixun","family":"Su","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China, also with Key Laboratory for Computational Mathematics and Data Intelligence of Liaoning Province, Dalian University of Technology, Dalian 116024, China, and also with Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiyan","family":"Sun","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, China, and also with School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"XiaoNan","family":"Luo","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Image and Graphic Intelligent Processing, Guilin University of Electronic Technology, Guilin 541004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920592"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2958324"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10867"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2968848"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/34.531803"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00268"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.170"},{"key":"ref11","first-page":"23","article-title":"Deep subspace clustering networks","author":"ji","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref55","article-title":"The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices","author":"lin","year":"2009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2848470"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6146"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2987164"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413807"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2852750"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17231"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1991.139758"},{"key":"ref50","article-title":"Deep adversarial inconsistent cognitive sampling for multi-view progressive subspace clustering","author":"sun","year":"2021"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380079"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1684\/1\/012059"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3011148"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428184"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2019.107320"},{"key":"ref41","article-title":"Multi-view deep subspace clustering networks","author":"zhu","year":"2019"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511840371"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.023"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3048678"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref9","first-page":"139","article-title":"Deep clustering for unsupervised learning of visual features","author":"caron","year":"2018","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref4","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2001","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.939739"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1109\/34.868688","article-title":"Normalized cuts and image segmentation","volume":"22","author":"shi","year":"2000","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2875385"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.8"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.461"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11617"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2913096"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5867"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.482"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00183"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.382974"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1177153"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2877660"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3032023"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6052"},{"key":"ref23","first-page":"1413","article-title":"Co-regularized multi-view spectral clustering","author":"kumar","year":"2011","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2889560"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2793863"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01221"},{"key":"ref22","first-page":"20","article-title":"Spectral clustering with two views","author":"de sa","year":"2005","journal-title":"Proc Int Conf Mach Learn Workshop"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8950"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/409"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3010631"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2008.4761663"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-69905-7_27"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251154"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09782561.pdf?arnumber=9782561","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,6]],"date-time":"2023-06-06T20:53:07Z","timestamp":1686084787000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9782561\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":63,"URL":"https:\/\/doi.org\/10.1109\/tkde.2022.3178145","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":[[2022]]}}}