{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T09:07:47Z","timestamp":1775034467702,"version":"3.50.1"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176203"],"award-info":[{"award-number":["62176203"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Initiative Postdocs Supporting Program"},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M653564"],"award-info":[{"award-number":["2019M653564"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011222","name":"Open Projects Program of National Laboratory of Pattern Recognition","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011222","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":[[2024,5]]},"DOI":"10.1109\/tnnls.2022.3213374","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T00:52:26Z","timestamp":1667523146000},"page":"7244-7250","source":"Crossref","is-referenced-by-count":49,"title":["Multi-View Subspace Clustering via Structured Multi-Pathway Network"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8217-5952","authenticated-orcid":false,"given":"Qianqian","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, the Key Laboratory of Ministry of Education of Intelligence and Image Understanding, and the School of Telecommunications Engineering, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5639-7540","authenticated-orcid":false,"given":"Zhiqiang","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Information, Golisano College of Computing and Information Science, Rochester Institute of Technology, Rochester, NY, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5082-2940","authenticated-orcid":false,"given":"Quanxue","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education of Intelligence and Image Understanding, School of Artificial Intelligence, Xidian University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"A survey on multi-view learning","author":"Xu","year":"2013","journal-title":"arXiv:1304.5634"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10867"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10249"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2873378"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01463"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2877660"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.28"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10909"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2906867"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3083072"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106807"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5808"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475319"},{"key":"ref16","first-page":"1247","article-title":"Deep canonical correlation analysis","volume-title":"Proc. ICML","author":"Andrew"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2875385"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2973981"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_32"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093277"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.198"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005601"},{"key":"ref24","article-title":"Fashion-MNIST: A novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv:1708.07747"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.05.019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.556"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8257992"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/2346830"},{"key":"ref29","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","volume-title":"Proc. NeurIPS","author":"Ng"},{"key":"ref30","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. ICML","author":"Xie"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2911833"},{"key":"ref32","first-page":"2598","article-title":"Multi-view k-means clustering on big data","volume-title":"Proc. IJCAI","author":"Cai"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2847335"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903810"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2922042"},{"key":"ref36","article-title":"On deep multi-view representation learning: Objectives and optimization","author":"Wang","year":"2016","journal-title":"arXiv:1602.01024"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w19-4301"},{"key":"ref38","article-title":"Jointly deep multi-view learning for clustering analysis","author":"Lin","year":"2018","journal-title":"arXiv:1808.06220"},{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10517792\/09931756.pdf?arnumber=9931756","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:55:07Z","timestamp":1714762507000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9931756\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":39,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2022.3213374","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}