{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T17:01:39Z","timestamp":1783702899398,"version":"3.55.0"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Key Laboratory of Mobile Network Application Technology of Zhejiang Province"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006131"],"award-info":[{"award-number":["62006131"]}],"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":["62071260"],"award-info":[{"award-number":["62071260"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Natural Science Foundation of Zhejiang Province","award":["LQ21F020009"],"award-info":[{"award-number":["LQ21F020009"]}]},{"name":"National Natural Science Foundation of Zhejiang Province","award":["LQ22F020020"],"award-info":[{"award-number":["LQ22F020020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tcsvt.2024.3411615","type":"journal-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T17:32:33Z","timestamp":1718040753000},"page":"10590-10603","source":"Crossref","is-referenced-by-count":6,"title":["Learning Low-Rank Representation Approximation for Few-Shot Deep Subspace Clustering"],"prefix":"10.1109","volume":"34","author":[{"given":"Qing","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0353-4748","authenticated-orcid":false,"given":"Xulun","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nongxiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Ningbo University, Ningbo, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3089480"},{"key":"ref2","first-page":"29406","article-title":"Learning with noisy correspondence for cross-modal matching","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Huang"},{"issue":"6","key":"ref3","first-page":"1","article-title":"XAI beyond classification: Interpretable neural clustering","volume":"23","author":"Peng","year":"2022","journal-title":"J. Mach. Learn. Res."},{"key":"ref4","first-page":"478","article-title":"Unsupervised deep embedding for clustering analysis","volume-title":"Proc. Int. Conf. Int. Conf. Mach. Learn.","author":"Xie"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3112816"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2962680"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/RCAR.2018.8621800"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3128325"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025577"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3110098"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3234556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3029033"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2703120"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3197230"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMD57530.2022.10058299"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098366"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3193567"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.88"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413597"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109438"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3207484"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3299318"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3276362"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2848470"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00172"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3079800"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00079"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3171421"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106199"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3162575"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3190450"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIEC49280.2020.9152261"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105377"},{"key":"ref36","first-page":"1842","article-title":"Meta-learning with memory-augmented neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Santoro"},{"key":"ref37","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref38","article-title":"Meta-SGD: Learning to learn quickly for few-shot learning","author":"Li","year":"2017","journal-title":"arXiv:1707.09835"},{"key":"ref39","article-title":"On first-order meta-learning algorithms","author":"Nichol","year":"2018","journal-title":"arXiv:1803.02999"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01348"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00882"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3215310"},{"key":"ref44","first-page":"3897","article-title":"Safe deep semi-supervised learning for unseen-class unlabeled data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guo"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5763"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_26"},{"key":"ref47","first-page":"25956","article-title":"OpenMatch: Open-set semi-supervised learning with open-set consistency regularization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Saito"},{"key":"ref48","first-page":"26714","article-title":"Universal semi-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Huang"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3304838"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25063-7_9"},{"key":"ref51","article-title":"Open-world semi-supervised learning","author":"Cao","year":"2021","journal-title":"arXiv:2102.03526"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00934"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-00979-3"},{"key":"ref54","article-title":"Automatically discovering and learning new visual categories with ranking statistics","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Han"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3091944"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00963"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025576"},{"key":"ref58","first-page":"24","article-title":"Deep subspace clustering networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Ji"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20873-8_30"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108041"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00012"},{"key":"ref62","first-page":"281","article-title":"Classification and analysis of multivariate observations","volume-title":"Proc. 5th Berkeley Symp. Math. Statist. Probab.","author":"MacQueen"},{"key":"ref63","article-title":"Self-tuning spectral clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"17","author":"Zelnik-manor"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/7503.003.0024"},{"key":"ref65","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"Vincent","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/243"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/273"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.556"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027761"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2889949"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(78)90018-3"},{"key":"ref73","first-page":"1010","article-title":"Locality preserving nonnegative matrix factorization","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Cai"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.626"},{"key":"ref75","first-page":"1","article-title":"Deep discriminative clustering analysis","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis.","author":"Chang"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00824"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00887"},{"issue":"11","key":"ref78","first-page":"1","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/10768433\/10552250.pdf?arnumber=10552250","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T19:50:06Z","timestamp":1732737006000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10552250\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":78,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3411615","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}