{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:45:11Z","timestamp":1769553911709,"version":"3.49.0"},"reference-count":64,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund (NSF) of China","doi-asserted-by":"publisher","award":["61906067"],"award-info":[{"award-number":["61906067"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund (NSF) of China","doi-asserted-by":"publisher","award":["62176124"],"award-info":[{"award-number":["62176124"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund (NSF) of China","doi-asserted-by":"publisher","award":["61973162"],"award-info":[{"award-number":["61973162"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund (NSF) of China","doi-asserted-by":"publisher","award":["12371510"],"award-info":[{"award-number":["12371510"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M651415"],"award-info":[{"award-number":["2019M651415"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020T130191"],"award-info":[{"award-number":["2020T130191"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30918014108"],"award-info":[{"award-number":["30918014108"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30920032202"],"award-info":[{"award-number":["30920032202"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["30921013114"],"award-info":[{"award-number":["30921013114"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"NSF of Jiangsu Province","doi-asserted-by":"publisher","award":["BZ2021013"],"award-info":[{"award-number":["BZ2021013"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF for Distinguished Young Scholar of Jiangsu Province","award":["BK20220080"],"award-info":[{"award-number":["BK20220080"]}]},{"name":"\u201c111\u201d Program","award":["B13022"],"award-info":[{"award-number":["B13022"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1109\/tnnls.2023.3327716","type":"journal-article","created":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T19:00:57Z","timestamp":1699556457000},"page":"3012-3026","source":"Crossref","is-referenced-by-count":18,"title":["Unified Framework for Faster Clustering via Joint Schatten <i>p<\/i>-Norm Factorization With Optimal Mean"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2472-6637","authenticated-orcid":false,"given":"Hengmin","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer and Information Science, and the Centre for Artificial Intelligence and Robotics, PAMI Research Group, Institute of Collaborative Innovation, University of Macau, Macau, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaoyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Shenzhen Polytechnic University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2497-9519","authenticated-orcid":false,"given":"Bob","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, and the Centre for Artificial Intelligence and Robotics, PAMI Research Group, Institute of Collaborative Innovation, University of Macau, Macau, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4092-9856","authenticated-orcid":false,"given":"Chen","family":"Gong","sequence":"additional","affiliation":[{"name":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0968-8556","authenticated-orcid":false,"given":"Jianjun","family":"Qian","sequence":"additional","affiliation":[{"name":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4800-832X","authenticated-orcid":false,"given":"Jian","family":"Yang","sequence":"additional","affiliation":[{"name":"PCA Laboratory, Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.101016\/j.cosrev.2016.11.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.09.021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3075017"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2975484"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2014.2327029"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2022.3144630"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.12.095"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2608834"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2900572"},{"key":"ref12","first-page":"1329","article-title":"Maximum-margin matrix factorization","volume-title":"Proc. Adv. Neural. Inf. Process. Syst. (NIPS)","author":"Srebro"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2009.2035722"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2991219"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2748590"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2023.3275299"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2573644"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.271"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2465956"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0930-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8210"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108568"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3078327"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126422"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2883566"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109388"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2014.2380155"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2811764"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3061660"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298693"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.12.038"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107639"},{"key":"ref35","first-page":"1062","article-title":"Optimal mean robust principal component analysis","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Nie"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00369"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3047405"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.02.020"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2928755"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2022.05.005"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1561\/9781601984616"},{"key":"ref42","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","volume-title":"Proc. Adv. Neural. Inf. Process. Syst. (NIPS)","author":"Lin"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1090\/S0025-5718-2012-02598-1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-014-0826-5"},{"issue":"3","key":"ref45","first-page":"615","article-title":"An accelerated proximal gradient algorithm for nuclear norm regularized least squares problems","volume":"6","author":"Toh","year":"2010","journal-title":"Pacific J. Optim."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2481325"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3010960"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2511584"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2957925"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2885699"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1287\/moor.1100.0449"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.01.024"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2001.945730"},{"key":"ref55","first-page":"2496","article-title":"Robust PCA via outlier pursuit","volume-title":"Proc. Adv. Neural. Inf. Process. Syst (NeurIPS)","volume":"23","author":"Xu"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-74503-9"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10253"},{"key":"ref58","first-page":"1764","article-title":"Nonconvex relaxation approaches to robust matrix recovery","volume-title":"Proc. Int. Joint. Conf. Artif. Intell. (IJCAI)","author":"Wang"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-013-0701-9"},{"issue":"1","key":"ref60","first-page":"3441","article-title":"Iterative reweighted algorithms for matrix rank minimization","volume":"13","author":"Mohan","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806506"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1137\/140971178"},{"key":"ref63","first-page":"16977","article-title":"Learned robust PCA: A scalable deep unfolding approach for high-dimensional outlier detection","volume-title":"Proc. Adv. Neural. Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Cai"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1093\/nsr\/nwx099"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10454107\/10314002.pdf?arnumber=10314002","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T16:53:46Z","timestamp":1709398426000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10314002\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":64,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2023.3327716","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}