{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T19:57:25Z","timestamp":1760385445364,"version":"3.37.3"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2016,10,1]],"date-time":"2016-10-01T00:00:00Z","timestamp":1475280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["CDJXS11181162","CDJZR12098801"],"award-info":[{"award-number":["CDJXS11181162","CDJZR12098801"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91118005"],"award-info":[{"award-number":["91118005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/tcsvt.2015.2455751","type":"journal-article","created":{"date-parts":[[2015,7,13]],"date-time":"2015-07-13T18:50:00Z","timestamp":1436813400000},"page":"1835-1845","source":"Crossref","is-referenced-by-count":2,"title":["Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5610-0826","authenticated-orcid":false,"given":"Sheng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Dan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Ahmed","family":"Elgammal","sequence":"additional","affiliation":[]},{"given":"Dong","family":"Yang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.244"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2190083"},{"key":"ref33","first-page":"88","article-title":"Similarity scores based on background samples","author":"wolf","year":"2009","journal-title":"Proc Asian Conf Comput Vis (ACCV)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACV.1994.341300"},{"article-title":"The AR face database","year":"1998","author":"mart\u00ednez","key":"ref31"},{"journal-title":"Yale Face Database","year":"0","key":"ref30"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.128"},{"article-title":"Caltech-256 object category dataset","year":"2007","author":"griffin","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540144"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2005.11.006"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.38"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1109\/TSMCB.2009.2032926","article-title":"Regularized locality preserving projections and its extensions for face recognition","volume":"40","author":"lu","year":"2010","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2014.6890566"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2014.8"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2241353"},{"key":"ref15","first-page":"1208","article-title":"Neighborhood preserving embedding","volume":"2","author":"he","year":"2005","journal-title":"Proc 10th IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"ref17","first-page":"1","article-title":"Non-negative graph embedding","author":"yang","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-4457-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.11.003"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.010"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/34.598228"},{"key":"ref27","first-page":"2224","article-title":"Relaxed collaborative representation for pattern classification","author":"yang","year":"2012","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref3","first-page":"1561","article-title":"Nonnegative sparse PCA","author":"zass","year":"2006","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2307\/2289860"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-8480-7"},{"key":"ref5","first-page":"48","article-title":"Sparse linear discriminant analysis with applications to high dimensional low sample size data","volume":"39","author":"qiao","year":"2009","journal-title":"Int J Appl Math"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2188389"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2024759"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1198\/106186006X113430"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.55"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/jocn.1991.3.1.71"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref22","first-page":"899","article-title":"Truncated power method for sparse eigenvalue problems","volume":"14","author":"yuan","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref21","first-page":"45","article-title":"Sparse uncorrelated linear discriminant analysis","author":"zhang","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.87"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.61"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540018"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1109\/TIP.2009.2038764","article-title":"Learning with $\\ell ^{1}$ -graph for image analysis","volume":"19","author":"cheng","year":"2010","journal-title":"IEEE Trans Image Process"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126277"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611973440.19"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.871582"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/76\/7580586\/07155540.pdf?arnumber=7155540","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T02:34:06Z","timestamp":1633919646000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7155540\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":43,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2015.2455751","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"type":"print","value":"1051-8215"},{"type":"electronic","value":"1558-2205"}],"subject":[],"published":{"date-parts":[[2016,10]]}}}