{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:38:58Z","timestamp":1777567138694,"version":"3.51.4"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["FT. 130101394"],"award-info":[{"award-number":["FT. 130101394"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/tip.2019.2895464","type":"journal-article","created":{"date-parts":[[2019,1,25]],"date-time":"2019-01-25T20:27:54Z","timestamp":1548448074000},"page":"3274-3285","source":"Crossref","is-referenced-by-count":57,"title":["Sparse Principal Component Analysis With Preserved Sparsity Pattern"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4619-734X","authenticated-orcid":false,"given":"Abd-Krim","family":"Seghouane","sequence":"first","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3705-622X","authenticated-orcid":false,"given":"Navid","family":"Shokouhi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, University of Melbourne, Melbourne, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inge","family":"Koch","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, The University of Western Australia, Perth, WA, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"73","article-title":"Sparse probabilistic projections","author":"archambeau","year":"2009","journal-title":"Proc NIPS"},{"key":"ref38","first-page":"185","article-title":"Sparse probabilistic principal component analysis","volume":"5","author":"guan","year":"2009","journal-title":"Proc 12th Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.08.025"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00532.x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2472280"},{"key":"ref30","first-page":"2777","article-title":"Structured variable selection with sparsity-inducing norms","volume":"12","author":"jenatton","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref37","first-page":"2761","article-title":"Beyond RPCA: Flattening complex noise in the frequency domain","author":"wang","year":"2017","journal-title":"Proc AAAI"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794470"},{"key":"ref35","first-page":"2080","article-title":"Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization","author":"wright","year":"2009","journal-title":"Proc NIPS"},{"key":"ref34","author":"nie","year":"2016","journal-title":"Non-greedy L21-norm maximization for principal component analysis"},{"key":"ref28","author":"golub","year":"1996","journal-title":"Matrix Computations"},{"key":"ref27","first-page":"976","article-title":"Globally sparse probabilistic PCA","author":"mattei","year":"2016","journal-title":"Proc 14th Int Conf Artif Intell Statist (AISTATS)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1214\/18-EJS1450"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139025805"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0202"},{"key":"ref20","first-page":"334","article-title":"Sparse PCA via covariance thresholding","author":"deshpande","year":"2014","journal-title":"Proc NIPS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X113430"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1198\/1061860032148"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2007.06.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxp008"},{"key":"ref26","first-page":"517","article-title":"Generalized power method for sparse principal component analysis","volume":"11","author":"journ\u00e9e","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref25","first-page":"41","article-title":"A direct formulation for sparse PCA using semidefinite programming","author":"d\u2019aspremont","year":"2005","journal-title":"Proc NIPS"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.015"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2007.356888"},{"key":"ref57","first-page":"366","article-title":"Structured sparse principal component analysis","author":"jenatton","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Stat"},{"key":"ref56","author":"penny","year":"2011","journal-title":"Statistical Parametric Mapping The Analysis of Functional Brain Images"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.10.087"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2159841"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/NNSP.2003.1318025"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.11.088"},{"key":"ref10","author":"jolliffe","year":"2011","journal-title":"Principal Component Analysis"},{"key":"ref11","first-page":"598","article-title":"Automatic choice of dimensionality for PCA","author":"minka","year":"2001","journal-title":"Proc NIPS"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1111\/1467-9868.00196"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2006.09.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2008.2005865"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.2.513"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00216-007-1790-1"},{"key":"ref16","author":"tibshirani","year":"2015","journal-title":"Statistical Learning with Sparsity The Lasso and Generalizations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/757584395"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/757584614"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.0121"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2221728"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.873449"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2011384"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2013.2278463"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0730-725X(99)00028-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1261097"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.1024"},{"key":"ref9","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0193(1998)6:5\/6<368::AID-HBM7>3.0.CO;2-E"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.822821"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2008.05.006"},{"key":"ref41","article-title":"Adaptive regression and model selection in data mining problems","author":"bakin","year":"1999"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273556"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000735"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/8715736\/08626121.pdf?arnumber=8626121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:39:48Z","timestamp":1705354788000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8626121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":57,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tip.2019.2895464","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7]]}}}