{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:21:23Z","timestamp":1740169283400,"version":"3.37.3"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62102331"],"award-info":[{"award-number":["62102331"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2022NSFSC0839"],"award-info":[{"award-number":["2022NSFSC0839"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004335","name":"Southwest University of Science and Technology Doctoral Fund Project","doi-asserted-by":"publisher","award":["22zx7110"],"award-info":[{"award-number":["22zx7110"]}],"id":[{"id":"10.13039\/501100004335","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3183901","type":"journal-article","created":{"date-parts":[[2022,6,17]],"date-time":"2022-06-17T19:28:43Z","timestamp":1655494123000},"page":"66290-66299","source":"Crossref","is-referenced-by-count":1,"title":["Low-Rank Subspace Learning of Multikernel Based on Weighted Truncated Nuclear Norm for Image Segmentation"],"prefix":"10.1109","volume":"10","author":[{"given":"Li","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, China"}]},{"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, China"}]},{"given":"Lei","family":"Pu","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, China"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4007-4501","authenticated-orcid":false,"given":"Xiaoqian","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Southwest University of Science and Technology, Mianyang, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IPEC51340.2021.9421206"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2963363"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3039742"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2806279"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3006202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003013"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3087575"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INDICON49873.2020.9342076"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3476514"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93046-2_36"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.08.023"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref13","first-page":"8","article-title":"Robust subspace segmentation by low-rank representation","volume-title":"Proc. ICML","volume":"1","author":"Liu"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247944"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.484"},{"key":"ref16","first-page":"1","article-title":"Provable subspace clustering: When LRR meets SSC","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Wang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF02570568"},{"key":"ref18","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"14","author":"Ng"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1014118"},{"key":"ref20","first-page":"3569","article-title":"A new simplex sparse learning model to measure data similarity for clustering","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Huang"},{"issue":"3","key":"ref21","first-page":"580","article-title":"Weighted-sparse subspace clustering method for image segmentation","volume":"36","author":"Tao","year":"2014","journal-title":"Syst. Eng. Electron."},{"issue":"10","key":"ref22","first-page":"2418","article-title":"Improved sparse subspace clustering method for image segmentation","volume":"37","author":"Li","year":"2010","journal-title":"Syst. Eng. Electron."},{"key":"ref23","first-page":"1825","article-title":"An extended level method for efficient multiple kernel learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"21","author":"Xu"},{"key":"ref24","first-page":"1","article-title":"Robust multiple kernel k-means using l 2,1-norm","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Du"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/320"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11613"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.09.009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-07884-8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.233"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-006-7934-5"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/34.87344"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2920514"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025576"},{"key":"ref35","article-title":"Adaptive low-rank kernel subspace clustering","volume-title":"arXiv:1707.04974","author":"Ji","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2794348"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896065"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2170175"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247748"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.063"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107243"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/860435.860485"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/DeSE.2019.00038"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937655"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CIS.2015.63"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1046"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2006.11.013"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09798846.pdf?arnumber=9798846","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T04:19:39Z","timestamp":1706761179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9798846\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3183901","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}