{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T18:27:40Z","timestamp":1775672860628,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018AAA0101902"],"award-info":[{"award-number":["2018AAA0101902"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017596","name":"Natural Science Basic Research Program of Shaanxi","doi-asserted-by":"publisher","award":["2021JM-071"],"award-info":[{"award-number":["2021JM-071"]}],"id":[{"id":"10.13039\/501100017596","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176212"],"award-info":[{"award-number":["62176212"]}],"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":["61936014"],"award-info":[{"award-number":["61936014"]}],"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":["61772427"],"award-info":[{"award-number":["61772427"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["G2019KY0501"],"award-info":[{"award-number":["G2019KY0501"]}],"id":[{"id":"10.13039\/501100012226","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":[[2024,2]]},"DOI":"10.1109\/tnnls.2022.3186171","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T19:32:28Z","timestamp":1657913548000},"page":"2014-2027","source":"Crossref","is-referenced-by-count":21,"title":["Unsupervised Feature Selection With Flexible Optimal Graph"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1143-2082","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer Science, the School of Artificial Intelligence, Optics and Electronics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-6519","authenticated-orcid":false,"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Computer Science, the School of Artificial Intelligence, Optics and Electronics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9240-6726","authenticated-orcid":false,"given":"Rong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2924-946X","authenticated-orcid":false,"given":"Xuelong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Optics and Electronics (iOPEN), and the Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi&#x2019;an, Shaanxi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.84"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273641"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2308902"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2879797"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.330110083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582746"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/00207160.2013.831082"},{"key":"ref8","first-page":"1","article-title":"$\\ell_{2,1}$\n-norm regularized discriminative feature selection for unsupervised","volume-title":"Proc. 32nd Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2884487"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v24i1.7671"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2014.03.007"},{"key":"ref12","first-page":"1","article-title":"Robust unsupervised feature selection","volume-title":"Proc. 23rd Int. Joint Conf. Artif. Intell.","author":"Qian"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref14","first-page":"1","article-title":"Exact top-k feature selection via $\\ell_{2,0}$\n-norm constraint","volume-title":"Proc. 23rd Int. Joint Conf. Artif. Intell.","author":"Cai"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2272642"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/442"},{"key":"ref17","first-page":"1","article-title":"Laplacian score for feature selection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10168"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3035677"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v26i1.8289"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835848"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.58"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682731"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682439"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783345"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2650978"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2937924"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2837100"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11904"},{"key":"ref30","first-page":"995","article-title":"Unsupervised feature selection by preserving stochastic neighbors","volume-title":"Proc. 19th Artif. Intell. Statist.","author":"Wei"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019357"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/501"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2015.7280391"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10811"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462261"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623726"},{"key":"ref37","first-page":"1813","article-title":"Efficient and robust feature selection via joint $\\ell_{2,1}$\n-norms minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nie"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref39","first-page":"1","article-title":"Learning feature sparse principal subspace","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Tian"},{"key":"ref40","volume-title":"Combinatorial Optimization: Algorithms and Complexity","author":"Papadimitriou","year":"1998"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.35.11.652"},{"key":"ref42","article-title":"The IMM face database-an annotated dataset of 240 face images","author":"Nordstr\u00f8m","year":"2004"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/34.817413"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref45","first-page":"583","article-title":"Cluster ensembles\u2014A knowledge reuse framework for combining multiple partitions","volume":"3","author":"Strehl","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00914"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5555\/2980539.2980649"},{"key":"ref48","first-page":"286","article-title":"Some matrix-inequalities and metrization of matric space","volume":"1","author":"Von Neumann","year":"1937","journal-title":"Tomsk Univ. Rev."}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10422842\/09831119.pdf?arnumber=9831119","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,16]],"date-time":"2024-02-16T19:14:12Z","timestamp":1708110852000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9831119\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":48,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3186171","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}