{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:58Z","timestamp":1750220578040,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,9,18]],"date-time":"2020-09-18T00:00:00Z","timestamp":1600387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,18]]},"DOI":"10.1145\/3422713.3422733","type":"proceedings-article","created":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T04:12:48Z","timestamp":1603512768000},"page":"63-68","source":"Crossref","is-referenced-by-count":0,"title":["Regularized Multi-view Spectral Clustering With Noisy Data"],"prefix":"10.1145","author":[{"given":"Xiaozhu","family":"Gao","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Southwest University of Science and Technology, MianYang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Southwest University of Science and Technology, MianYang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Southwest University of Science and Technology, MianYang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,23]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Bicker S. and Scheffer T. 2004. Multi-view clustering. In ICDM 19--26. Bicker S. and Scheffer T. 2004. Multi-view clustering. In ICDM 19--26."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"De Sa V.R. Gallagher P.W. Lewis J.M. and Malave V.L. 2010. Multi-view kernel construction. Machine learning 79 47--71. De Sa V.R. Gallagher P.W. Lewis J.M. and Malave V.L. 2010. Multi-view kernel construction. Machine learning 79 47--71.","DOI":"10.1007\/s10994-009-5157-z"},{"volume-title":"Proceedings of the 26th annual international conference on machine learning, 129--136","author":"Chaudhuri K.","key":"e_1_3_2_1_3_1"},{"volume-title":"2009 Ninth IEEE International Conference on Data Mining IEEE, 159--168","author":"Gu Q.","key":"e_1_3_2_1_4_1"},{"volume-title":"ICML workshop on learning with multiple views, 20--27","year":"2005","author":"De Sa V.R.","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273642"},{"volume-title":"Proceedings of the 28th international conference on machine learning (ICML-11)","author":"Kumar A.","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","unstructured":"Kumar A. Rai P. and Daum\u00e9 H. 2011. Co-regularized multi-view spectral clustering. In Advances in neural information processing systems 1413--1421. Kumar A. Rai P. and Daum\u00e9 H. 2011. Co-regularized multi-view spectral clustering. In Advances in neural information processing systems 1413--1421."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Appice A. and Malerba D. 2015. A co-training strategy for multiple view clustering in process mining. IEEE transactions on services computing 9 832--845. Appice A. and Malerba D. 2015. A co-training strategy for multiple view clustering in process mining. IEEE transactions on services computing 9 832--845.","DOI":"10.1109\/TSC.2015.2430327"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/TPAMI.2011.255","article-title":"Optimized data fusion for kernel k-means clustering","volume":"34","author":"Yu S.","year":"2011","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.005"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2891460.2891514"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2748148.2748522"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition, 586--594","author":"Cao X.","key":"e_1_3_2_1_14_1"},{"volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Zhang X.","key":"e_1_3_2_1_15_1"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2603983"},{"volume-title":"Proceedings of the 2013 SIAM International Conference on Data Mining SIAM, 234--242","author":"Wang X.","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","unstructured":"Niu D. Dy J.G. and Jordan M.I. 2010. Multiple nonredundant spectral clustering views. In ICML. Niu D. Dy J.G. and Jordan M.I. 2010. Multiple nonredundant spectral clustering views. In ICML."},{"volume-title":"Twenty-Ninth AAAI Conference on Artificial Intelligence.","author":"Li Y.","key":"e_1_3_2_1_19_1"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2015.12.007"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2553459"},{"volume-title":"Thirty-First AAAI Conference on Artificial Intelligence.","author":"Son J.-W.","key":"e_1_3_2_1_22_1"},{"volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence.","author":"Zong L.","key":"e_1_3_2_1_23_1"},{"volume-title":"Twenty-Eighth AAAI Conference on Artificial Intelligence.","author":"Xia R.","key":"e_1_3_2_1_24_1"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Feng L. Cai L. Liu Y. and Liu S. 2017. Multi-view spectral clustering via robust local subspace learning. soft computing 21 1937--1948. Feng L. Cai L. Liu Y. and Liu S. 2017. Multi-view spectral clustering via robust local subspace learning. soft computing 21 1937--1948.","DOI":"10.1007\/s00500-016-2120-3"},{"key":"e_1_3_2_1_26_1","unstructured":"Ng A.Y. Jordan M.I. and Weiss Y. 2002. On spectral clustering: Analysis and an algorithm. In Advances in neural information processing systems 849--856. Ng A.Y. Jordan M.I. and Weiss Y. 2002. On spectral clustering: Analysis and an algorithm. In Advances in neural information processing systems 849--856."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"crossref","unstructured":"Dasgupta S. Littman M.L. and Mcallester D.A. 2002. PAC generalization bounds for co-training. In Advances in neural information processing systems 375--382. Dasgupta S. Littman M.L. and Mcallester D.A. 2002. PAC generalization bounds for co-training. In Advances in neural information processing systems 375--382.","DOI":"10.7551\/mitpress\/1120.003.0053"},{"key":"e_1_3_2_1_28_1","unstructured":"Hunter B. and Strohmer T. 2010. Performance analysis of spectral clustering on compressed incomplete and inaccurate measurements. arXiv preprint arXiv:1011.0997. Hunter B. and Strohmer T. 2010. Performance analysis of spectral clustering on compressed incomplete and inaccurate measurements. arXiv preprint arXiv:1011.0997."},{"volume-title":"Proceedings of the 2015 SIAM International Conference on Data Mining SIAM, 388--396","author":"Liu J.","key":"e_1_3_2_1_29_1"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Li M. Liu X. Wang L. Dou Y. Yin J. and Zhu E. 2016. Multiple kernel clustering with local kernel alignment maximization. Li M. Liu X. Wang L. Dou Y. Yin J. and Zhu E. 2016. Multiple kernel clustering with local kernel alignment maximization.","DOI":"10.1016\/j.neucom.2017.06.044"}],"event":{"name":"ICBDT 2020: 2020 3rd International Conference on Big Data Technologies","acronym":"ICBDT 2020","location":"Qingdao China"},"container-title":["Proceedings of the 2020 3rd International Conference on Big Data Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3422713.3422733","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3422713.3422733","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:31:29Z","timestamp":1750195889000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3422713.3422733"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,18]]},"references-count":30,"alternative-id":["10.1145\/3422713.3422733","10.1145\/3422713"],"URL":"https:\/\/doi.org\/10.1145\/3422713.3422733","relation":{},"subject":[],"published":{"date-parts":[[2020,9,18]]}}}