{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:21:36Z","timestamp":1759134096090,"version":"3.37.3"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC","doi-asserted-by":"crossref","award":["EP\/N007743\/1"],"award-info":[{"award-number":["EP\/N007743\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2019,10,1]]},"DOI":"10.1109\/tpami.2018.2881476","type":"journal-article","created":{"date-parts":[[2018,11,15]],"date-time":"2018-11-15T21:30:48Z","timestamp":1542317448000},"page":"2365-2379","source":"Crossref","is-referenced-by-count":24,"title":["Robust Kronecker Component Analysis"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2409-0261","authenticated-orcid":false,"given":"Mehdi","family":"Bahri","sequence":"first","affiliation":[]},{"given":"Yannis","family":"Panagakis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-1740","authenticated-orcid":false,"given":"Stefanos","family":"Zafeiriou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1979.1102170"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1137\/070697835"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref32","first-page":"9446","article-title":"Deep image prior","author":"ulyanov","year":"2018","journal-title":"Proc IEEE Conf Pattern Recognit"},{"key":"ref31","article-title":"Global optimality in tensor factorization, deep learning, and beyond","volume":"abs 1506 7540","author":"haeffele","year":"2015","journal-title":"CoRR"},{"key":"ref30","first-page":"ii?2007","article-title":"Structured low-rank matrix factorization: Optimality, algorithm and applications to image processing","volume":"32","author":"haeffele","year":"0","journal-title":"Proc 31st Int Conf Int Conf Mach Learn"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898717907","author":"laub","year":"2004","journal-title":"Matrix Analysis for Scientists and Engineers"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662083"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.567"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.485"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2109730"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/34.927464"},{"key":"ref61","first-page":"55","article-title":"Subjective and objective quality assessment of image: A survey","volume":"9","author":"mohammadi","year":"2014","journal-title":"Majlesi Journal of Electrical Engineering"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383317"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953008"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1177153"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.563"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.363"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.59"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2013.132"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.002"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1037\/h0071325"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.116"},{"key":"ref1","first-page":"559","article-title":"On lines and planes of closest fit to systems of points in space","volume":"2","author":"pearson","year":"1901","journal-title":"Philosoph Mag"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-012-4551-5"},{"key":"ref22","article-title":"Foundations of the PARAFAC procedure: Models and conditions for an&#x201D; explanatory&#x201D; multi-modal factor analysis","volume":"16","author":"harshman","year":"1970","journal-title":"UCLA Working Papers Phonetics"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/sapm192761164"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CAMSAP.2017.8313163"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/BF02310791"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2018.2799931"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2016.7541479"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2572306"},{"key":"ref51","first-page":"612","article-title":"Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation","author":"lin","year":"2011","journal-title":"Advances in Neural Information Processing Systems 24"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2423694"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2004.836169"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238919"},{"key":"ref55","first-page":"1107","article-title":"Non-convex robust PCA","volume":"1","author":"netrapalli","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref54","first-page":"268","article-title":"Tensor vs. matrix methods: Robust tensor decomposition under block sparse perturbations","author":"anandkumar","year":"2016","journal-title":"Proc 19th Int Conf Artif Intell"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2465178"},{"key":"ref52","first-page":"2027","article-title":"Robust non-negative dictionary learning","author":"pan","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X113430"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2608834"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2044470"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.911828"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2586753"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2539946"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.63"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2014.7032166"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081395"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2040551"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/130905010"},{"key":"ref49","first-page":"137","article-title":"MapReduce: Simplified data processing on large clusters","author":"dean","year":"2004","journal-title":"Proc Operating Syst Des Implementation"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0042-6989(97)00169-7"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/140990309"},{"key":"ref45","first-page":"1267","article-title":"ADMM without a fixed penalty parameter: Faster convergence with new adaptive penalization","author":"xu","year":"2017","journal-title":"Proc Neural Inf Process Syst"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/355984.355990"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-018-0757-z"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2018.2813009"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1049\/el.2014.1396"},{"key":"ref44","first-page":"718","article-title":"Adaptive ADMM with spectral penalty parameter selection","author":"xu","year":"2017","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref43","first-page":"612","article-title":"Linearized alternating direction method with adaptive penalty for low-rank representation","author":"lin","year":"2011","journal-title":"Proc 24th Int Conf Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/8824149\/08536486.pdf?arnumber=8536486","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,7]],"date-time":"2023-09-07T04:26:07Z","timestamp":1694060767000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8536486\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,1]]},"references-count":69,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2018.2881476","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"type":"print","value":"0162-8828"},{"type":"electronic","value":"2160-9292"},{"type":"electronic","value":"1939-3539"}],"subject":[],"published":{"date-parts":[[2019,10,1]]}}}