{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T10:10:10Z","timestamp":1746439810251,"version":"3.40.4"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819644445","type":"print"},{"value":"9789819644452","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-4445-2_8","type":"book-chapter","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T09:33:50Z","timestamp":1746437630000},"page":"88-99","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Comprehensive Multi-view Subspace Clustering with\u00a0Global-and-Local Representation Learning"],"prefix":"10.1007","author":[{"given":"Bin","family":"Xiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8815-2559","authenticated-orcid":false,"given":"Jipeng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juntao","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6245-1550","authenticated-orcid":false,"given":"Youqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,6]]},"reference":[{"key":"8_CR1","unstructured":"Xu, C., Tao, D., Xu, C.: A survey on multi-view learning. arXiv preprint arXiv:1304.5634 (2013)"},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.inffus.2017.02.007","volume":"38","author":"J Zhao","year":"2017","unstructured":"Zhao, J., Xie, X., Xu, X., Sun, S.: Multi-view learning overview: recent progress and new challenges. Information Fusion 38, 43\u201354 (2017)","journal-title":"Information Fusion"},{"issue":"5","key":"8_CR3","doi-asserted-by":"publisher","first-page":"785","DOI":"10.26599\/TST.2021.9010053","volume":"27","author":"L Han","year":"2022","unstructured":"Han, L., Wang, C., Xu, D., Zhang, D.: Algorithms for the prize-collecting $$ k $$-Steiner tree problem. Tsinghua Sci. Technol. 27(5), 785\u2013792 (2022)","journal-title":"Tsinghua Sci. Technol."},{"issue":"3","key":"8_CR4","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1007\/s41019-022-00190-8","volume":"7","author":"M-S Chen","year":"2022","unstructured":"Chen, M.-S., et al.: Representation learning in multi-view clustering: a literature review. Data Sci. Eng. 7(3), 225\u2013241 (2022)","journal-title":"Data Sci. Eng."},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.ins.2021.02.054","volume":"563","author":"H Wang","year":"2021","unstructured":"Wang, H., et al.: Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning. Inf. Sci. 563, 290\u2013308 (2021)","journal-title":"Inf. Sci."},{"issue":"7","key":"8_CR6","doi-asserted-by":"publisher","first-page":"3157","DOI":"10.1109\/TNNLS.2021.3071797","volume":"33","author":"J Guo","year":"2021","unstructured":"Guo, J., Sun, Y., Gao, J., Hu, Y., Yin, B.: Rank consistency induced multiview subspace clustering via low-rank matrix factorization. IEEE Trans. Neural Netw. Learn. Syst. 33(7), 3157\u20133170 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Cao, X., Zhang, C., Fu, H., Liu, S., Zhang, H.: Diversity-induced multi-view subspace clustering. In: CVPR, pp. 586\u2013594 (2015)","DOI":"10.1109\/CVPR.2015.7298657"},{"issue":"12","key":"8_CR8","doi-asserted-by":"publisher","first-page":"10279","DOI":"10.1109\/TNNLS.2022.3165542","volume":"34","author":"G Du","year":"2022","unstructured":"Du, G., Zhou, L., L\u00fc, K., Wu, H., Xu, Z.: Multiview subspace clustering with multilevel representations and adversarial regularization. IEEE Trans. Neural Netw. Learn. Syst. 34(12), 10279\u201310293 (2022)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Zhang, C., Hu, Q., Fu, H., Zhu, P., Cao, X.: Latent multi-view subspace clustering. In: CVPR, pp. 4333\u20134341 (2017)","DOI":"10.1109\/CVPR.2017.461"},{"issue":"1","key":"8_CR10","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TPAMI.2018.2877660","volume":"42","author":"C Zhang","year":"2020","unstructured":"Zhang, C., et al.: Generalized latent multi-view subspace clustering. IEEE Trans. Pattern Anal. Mach. Intell. 42(1), 86\u201399 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Li, R., Zhang, C., Hu, Q., Zhu, P., Wang, Z.: Flexible multi-view representation learning for subspace clustering. In: IJCAI 2019, pp. 2916\u20132922 (2019)","DOI":"10.24963\/ijcai.2019\/404"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, C., Fu, H., Liu, S., Liu, G., Cao, X.: Low-rank tensor constrained multiview subspace clustering. In: ICCV, pp. 1582\u20131590 (2015)","DOI":"10.1109\/ICCV.2015.185"},{"key":"8_CR13","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1007\/s11263-018-1086-2","volume":"126","author":"Y Xie","year":"2018","unstructured":"Xie, Y., Tao, D., Zhang, W., Liu, Y., Zhang, L., Qu, Y.: On unifying multi-view self-representations for clustering by tensor multi-rank minimization. Int. J. Comput. Vis. 126, 1157\u20131179 (2018)","journal-title":"Int. J. Comput. Vis."},{"key":"8_CR14","doi-asserted-by":"publisher","first-page":"4022","DOI":"10.1109\/TIP.2021.3068646","volume":"30","author":"Y Chen","year":"2021","unstructured":"Chen, Y., Wang, S., Peng, C., Hua, Z., Zhou, Y.: Generalized nonconvex low-rank tensor approximation for multi-view subspace clustering. IEEE Trans. Image Process. 30, 4022\u20134035 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR15","unstructured":"Greenfeld, D., Shalit, U.: Robust learning with the Hilbert-Schmidt independence criterion. In: ICML, pp. 3759\u20133768 (2020)"},{"issue":"3","key":"8_CR16","first-page":"3396","volume":"45","author":"J Guo","year":"2022","unstructured":"Guo, J., Sun, Y., Gao, J., Hu, Y., Yin, B.: Logarithmic schatten-$$ p $$ norm minimization for tensorial multi-View subspace clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(3), 3396\u20133410 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"7191","DOI":"10.1109\/TIP.2022.3220949","volume":"31","author":"J Guo","year":"2022","unstructured":"Guo, J., Sun, Y., Gao, J., Hu, Y., Yin, B.: Multi-attribute subspace clustering via auto-weighted tensor nuclear norm minimization. IEEE Trans. Image Process. 31, 7191\u20137205 (2022)","journal-title":"IEEE Trans. Image Process."},{"key":"8_CR18","unstructured":"Lin, Z., Chen, M., Ma, Y.: The augmented Lagrange multiplier method for exact recovery of corrupted low-rank matrices. arXiv preprint arXiv:1009.5055 (2010)"},{"issue":"11","key":"8_CR19","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.: Sparse subspace clustering: algorithm, theory, and applications. IEEE Trans. Pattern Anal. Mach. Intell. 35(11), 2765\u20132781 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Xia, R., Pan, Y., Du, L., Yin, J.: Robust multi-view spectral clustering via low-rank and sparse decomposition. In: AAAI, pp. 2149\u20132155 (2014)","DOI":"10.1609\/aaai.v28i1.8950"},{"issue":"12","key":"8_CR21","doi-asserted-by":"publisher","first-page":"5910","DOI":"10.1109\/TIP.2019.2916740","volume":"28","author":"J Wu","year":"2019","unstructured":"Wu, J., Lin, Z., Zha, H.: Essential tensor learning for multi-view spectral clustering. IEEE Trans. Image Process. 28(12), 5910\u20135922 (2019)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Combinatorial Optimization and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-4445-2_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T09:33:55Z","timestamp":1746437635000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-4445-2_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819644445","9789819644452"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-4445-2_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"6 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"COCOA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Combinatorial Optimization and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Beijing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cocoa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cocoa2024.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}