{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T05:22:05Z","timestamp":1771305725930,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62076115"],"award-info":[{"award-number":["62076115"]}],"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":["61771229"],"award-info":[{"award-number":["61771229"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"LiaoNing Revitalization Talents Program","doi-asserted-by":"crossref","award":["XLYC1907169"],"award-info":[{"award-number":["XLYC1907169"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Program of Star of Dalian Youth Science and Technology","award":["2019RQ033"],"award-info":[{"award-number":["2019RQ033"]}]},{"name":"Program of Star of Dalian Youth Science and Technology","award":["2020RQ053"],"award-info":[{"award-number":["2020RQ053"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pattern Anal Applic"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s10044-022-01085-0","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T05:03:11Z","timestamp":1656478991000},"page":"879-890","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Consistent auto-weighted multi-view subspace clustering"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4846-2231","authenticated-orcid":false,"given":"Kewei","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liying","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"issue":"2","key":"1085_CR1","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MSP.2010.939739","volume":"28","author":"R Vidal","year":"2011","unstructured":"Vidal R (2011) Subspace clustering. IEEE Signal Process Mag 28(2):52\u201368","journal-title":"IEEE Signal Process Mag"},{"key":"1085_CR2","doi-asserted-by":"crossref","unstructured":"Liu G, Yan S (2011) Latent low-rank representation for subspace segmentation and feature extraction. In: ICCV, pp 1615\u20131622","DOI":"10.1109\/ICCV.2011.6126422"},{"issue":"10","key":"1085_CR3","doi-asserted-by":"publisher","first-page":"1832","DOI":"10.1109\/TPAMI.2009.191","volume":"32","author":"SR Rao","year":"2010","unstructured":"Rao SR, Tron R, Vidal R, Ma Y (2010) Motion segmentation in the presence of outlying, incomplete, or corrupted trajectories. IEEE Trans Pattern Anal Mach Intell 32(10):1832\u20131845","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"9","key":"1085_CR4","doi-asserted-by":"publisher","first-page":"1546","DOI":"10.1109\/TPAMI.2007.1085","volume":"29","author":"Y Ma","year":"2007","unstructured":"Ma Y, Derksen H, Hong W, Wright J (2007) Segmentation of multivariate mixed data via lossy data coding and compression. IEEE Trans Pattern Anal Mach Intell 29(9):1546\u20131562","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"1085_CR5","doi-asserted-by":"publisher","first-page":"5076","DOI":"10.1109\/TIP.2018.2848470","volume":"27","author":"X Peng","year":"2018","unstructured":"Peng X, Feng J, Xiao S, Yau W, Zhou JT, Yang S (2018) Structured autoencoders for subspace clustering. IEEE Trans Image Process 27(10):5076\u20135086","journal-title":"IEEE Trans Image Process"},{"key":"1085_CR6","doi-asserted-by":"crossref","unstructured":"Zhang S, You C, Vidal R, CL (2021) Learning a self-expressive network for subspace clustering. In: CVPR, pp 12393\u201312403","DOI":"10.1109\/CVPR46437.2021.01221"},{"issue":"1","key":"1085_CR7","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s10044-018-00774-z","volume":"22","author":"W Dong","year":"2019","unstructured":"Dong W, Wu X, Kittler J, Yin H (2019) Sparse subspace clustering via nonconvex approximation. Pattern Anal Appl 22(1):165\u2013176","journal-title":"Pattern Anal Appl"},{"issue":"1","key":"1085_CR8","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1007\/s10044-019-00786-3","volume":"23","author":"L Wei","year":"2020","unstructured":"Wei L, Zhou R, Zhu C, Zhang X, Yin J (2020) Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal Appl 23(1):443\u2013453","journal-title":"Pattern Anal Appl"},{"key":"1085_CR9","doi-asserted-by":"crossref","unstructured":"Li S, Li K, Fu Y (2015) Temporal subspace clustering for human motion segmentation. In: ICCV, pp 4453\u20134461","DOI":"10.1109\/ICCV.2015.506"},{"issue":"11","key":"1085_CR10","doi-asserted-by":"publisher","first-page":"2765","DOI":"10.1109\/TPAMI.2013.57","volume":"35","author":"E Elhamifar","year":"2013","unstructured":"Elhamifar E, Vidal R (2013) Sparse subspace clustering: algorithm, theory, and applications. IEEE Trans Pattern Anal Mach Intell 35(11):2765\u20132781","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"1085_CR11","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1109\/TPAMI.2012.88","volume":"35","author":"G Liu","year":"2013","unstructured":"Liu G, Lin Z, Yan S, Sun J, Yu Y, Ma Y (2013) Robust recovery of subspace structures by low-rank representation. IEEE Trans Pattern Anal Mach Intell 35(1):171\u2013184","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"8","key":"1085_CR12","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans Pattern Anal Mach Intell 22(8):888\u2013905","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1085_CR13","unstructured":"Lin Z, Chen M, Wu L, Ma Y (2009)The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices. UIUC Technical Report, UILU-ENG-09-2215"},{"key":"1085_CR14","doi-asserted-by":"crossref","unstructured":"Chen Y, Li C, You C (2020) Stochastic sparse subspace clustering. In: CVPR, pp 4154\u20134163","DOI":"10.1109\/CVPR42600.2020.00421"},{"key":"1085_CR15","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.patcog.2018.12.025","volume":"89","author":"K Tang","year":"2019","unstructured":"Tang K, Su Z, Liu Y, Jiang W, Zhang J, Sun X (2019) Subspace segmentation with a large number of subspaces using infinity norm minimization. Pattern Recognit 89:45\u201354","journal-title":"Pattern Recognit"},{"issue":"12","key":"1085_CR16","doi-asserted-by":"publisher","first-page":"2167","DOI":"10.1109\/TNNLS.2014.2306063","volume":"25","author":"K Tang","year":"2014","unstructured":"Tang K, Liu R, Su Z, Zhang J (2014) Structure-constrained low-rank representation. IEEE Trans Neural Netw Learn Syst 25(12):2167\u20132179","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1085_CR17","doi-asserted-by":"crossref","unstructured":"Lu C, Min H, Zhao Z, Zhu L, Huang D, Yan S (2012) Robust and efficient subspace segmentation via least squares regression. In: ECCV, vol. 7578, pp 347\u2013360","DOI":"10.1007\/978-3-642-33786-4_26"},{"issue":"3","key":"1085_CR18","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1007\/s10044-020-00863-y","volume":"23","author":"C Zhu","year":"2020","unstructured":"Zhu C, Chen C, Zhou R, Wei L, Zhang X (2020) A new multi-view learning machine with incomplete data. Pattern Anal Appl 23(3):1085\u20131116","journal-title":"Pattern Anal Appl"},{"key":"1085_CR19","doi-asserted-by":"crossref","unstructured":"Tao Z, Liu H, Li S, Ding Z, Fu Y (2017) From ensemble clustering to multi-view clustering. In: IJCAI, pp 2843\u20132849","DOI":"10.24963\/ijcai.2017\/396"},{"issue":"2","key":"1085_CR20","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TNNLS.2019.2906867","volume":"31","author":"Z Tao","year":"2020","unstructured":"Tao Z, Liu H, Li S, Ding Z, Fu Y (2020) Marginalized multiview ensemble clustering. IEEE Trans Neural Netw Learn Syst 31(2):600\u2013611","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1085_CR21","unstructured":"de Sa VR (2005) Spectral clustering with two views. In: ICML Workshop, pp 20\u201327"},{"key":"1085_CR22","unstructured":"Kumar A, Rai P, III HD (2011) Co-regularized multi-view spectral clustering. In: NIPS, pp 1413\u20131421"},{"key":"1085_CR23","doi-asserted-by":"crossref","unstructured":"Zhang C, Fu H, Liu S, Liu G, Cao X (2015) Low-rank tensor constrained multiview subspace clustering. In: ICCV, pp 1582\u20131590","DOI":"10.1109\/ICCV.2015.185"},{"key":"1085_CR24","doi-asserted-by":"crossref","unstructured":"Cao X, Zhang C, Fu H, Liu S, Zhang H (2015) Diversity-induced multi-view subspace clustering. In: CVPR, pp 586\u2013594","DOI":"10.1109\/CVPR.2015.7298657"},{"key":"1085_CR25","doi-asserted-by":"crossref","unstructured":"Zhang C, Liu Y, Fu H (2019) Ae2-nets: autoencoder in autoencoder networks. In: CVPR, pp 2577\u20132585","DOI":"10.1109\/CVPR.2019.00268"},{"issue":"8","key":"1085_CR26","doi-asserted-by":"publisher","first-page":"2344","DOI":"10.1007\/s11263-020-01307-0","volume":"128","author":"C Zhang","year":"2020","unstructured":"Zhang C, Fu H, Wang J, Li W, Cao X, Hu Q (2020) Tensorized multi-view subspace representation learning. Int J Comput Vis 128(8):2344\u20132361","journal-title":"Int J Comput Vis"},{"issue":"6","key":"1085_CR27","doi-asserted-by":"publisher","first-page":"1601","DOI":"10.1109\/JSTSP.2018.2875385","volume":"12","author":"M Abavisani","year":"2018","unstructured":"Abavisani M, Patel VM (2018) Deep multimodal subspace clustering networks. IEEE J Sel Top Signal Process 12(6):1601\u20131614","journal-title":"IEEE J Sel Top Signal Process"},{"key":"1085_CR28","doi-asserted-by":"crossref","unstructured":"Li R, Zhang C, Fu H, Peng X, Zhou JT, Hu Q (2019) Reciprocal multi-layer subspace learning for multi-view clustering. In: ICCV, pp 8171\u20138179","DOI":"10.1109\/ICCV.2019.00826"},{"issue":"1","key":"1085_CR29","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TPAMI.2018.2877660","volume":"42","author":"C Zhang","year":"2020","unstructured":"Zhang C, Fu H, Hu Q, Cao X, Xie Y, Tao D, Xu D (2020) Generalized latent multi-view subspace clustering. IEEE Trans Pattern Anal Mach Intell 42(1):86\u201399","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"1085_CR30","doi-asserted-by":"crossref","unstructured":"Gao H, Nie F, Li X, Huang H (2015) Multi-view subspace clustering. In: ICCV, pp 4238\u20134246","DOI":"10.1109\/ICCV.2015.482"},{"key":"1085_CR31","doi-asserted-by":"crossref","unstructured":"Wang X, Guo X, Lei Z, Zhang C, Li SZ (2017) Exclusivity-consistency regularized multi-view subspace clustering. In: CVPR, pp 1\u20139","DOI":"10.1109\/CVPR.2017.8"},{"key":"1085_CR32","doi-asserted-by":"crossref","unstructured":"Luo S, Zhang C, Zhang W, Cao X (2018) Consistent and specific multi-view subspace clustering. In: AAAI, pp 3730\u20133737","DOI":"10.1609\/aaai.v32i1.11617"},{"issue":"6","key":"1085_CR33","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1109\/TKDE.2019.2903810","volume":"32","author":"H Wang","year":"2020","unstructured":"Wang H, Yang Y, Liu B (2020) GMC: graph-based multi-view clustering. IEEE Trans Knowl Data Eng 32(6):1116\u20131129","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1085_CR34","unstructured":"Nie F, Li J, Li X (2016) Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification. In: IJCAI, pp 1881\u20131887"},{"key":"1085_CR35","unstructured":"Zhu P, Hui B, Zhang C, Du D, Wen L, Hu Q (2019) Multi-view deep subspace clustering networks. CoRR arXiv:1908.01978"},{"key":"1085_CR36","volume-title":"Matrix analysis and applications","author":"X Zhang","year":"2004","unstructured":"Zhang X (2004) Matrix analysis and applications. Tsinghua University Press, Beijing"},{"key":"1085_CR37","unstructured":"Liu G, Lin Z, Yu Y (2010) Robust subspace segmentation by low-rank representation. In: ICML, pp 663\u2013670"},{"key":"1085_CR38","doi-asserted-by":"crossref","unstructured":"Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: CVPR, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"issue":"3","key":"1085_CR39","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1109\/12.210173","volume":"42","author":"M Lades","year":"1993","unstructured":"Lades M, Vorbr\u00fcggen JC, Buhmann JM, Lange J, von der Malsburg C, W\u00fcrtz RP, Konen W (1993) Distortion invariant object recognition in the dynamic link architecture. IEEE Trans Comput 42(3):300\u2013311","journal-title":"IEEE Trans Comput"},{"key":"1085_CR40","doi-asserted-by":"crossref","unstructured":"Ojansivu V, Heikkil\u00e4 J (2008) Blur insensitive texture classification using local phase quantization. In: ICISP, vol. 5099, pp 236\u2013243","DOI":"10.1007\/978-3-540-69905-7_27"}],"container-title":["Pattern Analysis and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-022-01085-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10044-022-01085-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10044-022-01085-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T04:19:44Z","timestamp":1666153184000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10044-022-01085-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["1085"],"URL":"https:\/\/doi.org\/10.1007\/s10044-022-01085-0","relation":{},"ISSN":["1433-7541","1433-755X"],"issn-type":[{"value":"1433-7541","type":"print"},{"value":"1433-755X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"23 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflicts of interest to this work.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}