{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:53:08Z","timestamp":1776441188444,"version":"3.51.2"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Major Project of the New Generation of Artificial Intelligence","award":["2018AAA0102900"],"award-info":[{"award-number":["2018AAA0102900"]}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61773268"],"award-info":[{"award-number":["61773268"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of SZU","award":["000346"],"award-info":[{"award-number":["000346"]}]},{"DOI":"10.13039\/501100019443","name":"Shenzhen Research Foundation for Basic Research, China","doi-asserted-by":"publisher","award":["JCYJ20180305124149387"],"award-info":[{"award-number":["JCYJ20180305124149387"]}],"id":[{"id":"10.13039\/501100019443","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tcyb.2021.3060804","type":"journal-article","created":{"date-parts":[[2021,4,20]],"date-time":"2021-04-20T00:53:33Z","timestamp":1618880013000},"page":"8413-8424","source":"Crossref","is-referenced-by-count":28,"title":["Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression"],"prefix":"10.1109","volume":"52","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3941-5751","authenticated-orcid":false,"given":"Chen","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Software, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2818-4652","authenticated-orcid":false,"given":"Xiaojun","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software, Shenzhen University, Shenzhen, China"}]},{"given":"Guowen","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software, Shenzhen University, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-6519","authenticated-orcid":false,"given":"Feiping","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Computer Science and Center for Optical Imagery Analysis and Learning, Northwestern Polytechnical University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7345-5071","authenticated-orcid":false,"given":"Min","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5430\/air.v4n2p22"},{"key":"ref4","volume-title":"Pattern Classification","author":"Richard","year":"2010"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-247-2.50037-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-57868-4_57"},{"key":"ref7","first-page":"1813","article-title":"Efficient and robust feature selection via joint \u2113\u2082, \u2081-norms minimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Nie"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2426703"},{"key":"ref9","first-page":"507","article-title":"Laplacian score for feature selection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.58"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10168"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v27i1.8589"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972771.75"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.06.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.10.028"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2562670"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68125-0_101"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2984635"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2047114"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/211"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2740949"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.08.001"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.055"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12177"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2212721"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.12.055"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2713948"},{"key":"ref28","first-page":"1589","article-title":"\u2113\u2082, \u2081-norm regularized discriminative feature selection for unsupervised learning","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Yang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1835804.1835848"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9833007\/09407333.pdf?arnumber=9407333","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T22:57:18Z","timestamp":1704841038000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9407333\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":29,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2021.3060804","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}