{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T12:45:09Z","timestamp":1775911509759,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004377","name":"Hong Kong Polytechnic University","doi-asserted-by":"publisher","award":["2012CB316400"],"award-info":[{"award-number":["2012CB316400"]}],"id":[{"id":"10.13039\/501100004377","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61370163"],"award-info":[{"award-number":["61370163"]}],"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":["61332011"],"award-info":[{"award-number":["61332011"]}],"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":["61573248"],"award-info":[{"award-number":["61573248"]}],"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":["61375012"],"award-info":[{"award-number":["61375012"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/tnnls.2017.2648880","type":"journal-article","created":{"date-parts":[[2018,3,16]],"date-time":"2018-03-16T19:52:58Z","timestamp":1521229978000},"page":"1006-1018","source":"Crossref","is-referenced-by-count":106,"title":["Regularized Label Relaxation Linear Regression"],"prefix":"10.1109","volume":"29","author":[{"given":"Xiaozhao","family":"Fang","sequence":"first","affiliation":[]},{"given":"Yong","family":"Xu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Zhihui","family":"Lai","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4388-3080","authenticated-orcid":false,"given":"Wai Keung","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Bingwu","family":"Fang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2007.70224"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0545-2"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2202674"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1137\/080725891"},{"key":"ref30","first-page":"339","article-title":"Multi-task feature learning via efficient $\\ell _{2,1}$ -norm minimization","author":"liu","year":"2009","journal-title":"Proc 21th Annu Conf Uncertainty Artif Intell"},{"key":"ref37","article-title":"Fast l1-minimization algorithms and an application in robust face recognition","author":"yang","year":"2010"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref35","author":"bertsekas","year":"1999","journal-title":"Nonlinear Programming"},{"key":"ref34","author":"bertsekas","year":"2003","journal-title":"Convex Analysis and Optimization"},{"key":"ref28","first-page":"1","article-title":"$\\ell _{2,1}$ -norm Regularized discriminative feature selection for unsupervised learning","author":"yang","year":"2011","journal-title":"Proc 22nd Int Joint Conf Artif Intell"},{"key":"ref27","first-page":"1294","article-title":"Joint feature selection and subspace learning","author":"gu","year":"2011","journal-title":"Proc 2nd Int Joint Conf Artif Intell"},{"key":"ref29","first-page":"1","article-title":"Unsupervised feature selection using nonnegative spectral analysis","author":"li","year":"2012","journal-title":"Proc 26th AAAI Conf Artif Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/0905052"},{"key":"ref1","author":"strutz","year":"2010","journal-title":"Data Fitting and Uncertainty A Practical Introduction to Weighted Least Squares and Beyond"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.01.003"},{"key":"ref22","first-page":"2080","article-title":"Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization","author":"wright","year":"2009","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref21","first-page":"281","article-title":"R1-PCA: Rotational invariant $\\ell _{1}$ -norm principal component analysis for robust subspace factorization","author":"ding","year":"2006","journal-title":"Proc 23rd Int Conf Mach Learn"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2430359"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2050625"},{"key":"ref26","first-page":"1324","article-title":"Feature selection via joint embedding learning and sparse regression","author":"hou","year":"2011","journal-title":"Proc 22th Int Joint Conf Artif Intell"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2205006"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2422994"},{"key":"ref51","article-title":"UCI machine learning repository","author":"lichman","year":"2013","journal-title":"Schl Inf Comput Sci"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2179539"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.88"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2152852"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(03)00054-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.128"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1109\/TSMCB.2007.911536","article-title":"Discriminant locally linear embedding with high-order tensor data","volume":"38","author":"li","year":"2008","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref13","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":"ref14","first-page":"1208","article-title":"Neighborhood preserving embedding","author":"he","year":"2005","journal-title":"Proc 10th IEEE Int Conf Comput Vis"},{"key":"ref15","first-page":"528","article-title":"Isometric projection","author":"cai","year":"2007","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref17","first-page":"1027","article-title":"Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis","volume":"8","author":"sugiyama","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref18","first-page":"708","article-title":"Locality sensitive discriminant analysis","author":"cai","year":"2007","journal-title":"Proc 20th Int Joint Conf Artif Intell"},{"key":"ref19","first-page":"846","article-title":"Local discriminant embedding and its variants","author":"chen","year":"2005","journal-title":"Proc Comput Vis Pattern Recognit (CVPR)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212721"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2013.30"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2253798"},{"key":"ref5","first-page":"1565","article-title":"Adaptive loss minimization for semi-supervised elastic embedding","author":"nie","year":"2013","journal-title":"Proc 23rd Int Joint Conf Artif Intell"},{"key":"ref8","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":"ref7","first-page":"2399","article-title":"Manifold regularization: A geometric framework for learning from labled and unlabeled examples","volume":"12","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref49","article-title":"The AR face database","author":"martinez","year":"1998"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2293418"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"1738","DOI":"10.1109\/TCYB.2013.2293391","article-title":"Integrating conventional and inverse representation for face recognition","volume":"44","author":"xu","year":"2014","journal-title":"IEEE Trans Cybern"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2300175"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1251154"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2425545"},{"key":"ref42","first-page":"3133","article-title":"Do we need hundreds of classifiers to solve real world classification problem?","volume":"15","author":"fernandez-delgado","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2011.20"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2015.07.002"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/103796"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8318959\/07839224.pdf?arnumber=7839224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:23:32Z","timestamp":1642004612000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7839224\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":54,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2017.2648880","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,4]]}}}