{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:22Z","timestamp":1760245042344,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,10,17]],"date-time":"2015-10-17T00:00:00Z","timestamp":1445040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"973 Program of China","award":["2014CB340501"],"award-info":[{"award-number":["2014CB340501"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61273301, 61333014"],"award-info":[{"award-number":["61273301, 61333014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,10,17]]},"DOI":"10.1145\/2806416.2806552","type":"proceedings-article","created":{"date-parts":[[2015,10,27]],"date-time":"2015-10-27T13:03:43Z","timestamp":1445951023000},"page":"991-1000","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Rank Consistency based Multi-View Learning"],"prefix":"10.1145","author":[{"given":"Han-Jia","family":"Ye","sequence":"first","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"De-Chuan","family":"Zhan","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Yuan","family":"Miao","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Yuan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]},{"given":"Zhi-Hua","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanjing University, Nanjing, China"}]}],"member":"320","published-online":{"date-parts":[[2015,10,17]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015424"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/15427951.2005.10129098"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.93"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/279943.279962"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"e_1_3_2_1_8_1","first-page":"1171","volume-title":"Proceedings of the 28th AAAI Conference on Artificial Intelligence","author":"Chang X.","year":"2014","unstructured":"X. Chang , F. Nie , Y. Yang , and H. Huang . A convex formulation for semi-supervised multi-label feature selection . In Proceedings of the 28th AAAI Conference on Artificial Intelligence , pages 1171 -- 1177 , Quebec, Canada , 2014 . X. Chang, F. Nie, Y. Yang, and H. Huang. A convex formulation for semi-supervised multi-label feature selection. In Proceedings of the 28th AAAI Conference on Artificial Intelligence, pages 1171--1177, Quebec, Canada, 2014."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104354"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390201"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021071"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2355004"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1093\/imanum\/drt060"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.271"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553434"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2662054"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33718-5_58"},{"key":"e_1_3_2_1_19_1","volume-title":"Non-sparse regularization and efficient training with multiple kernels. arxiv preprint arXiv:1003.0079","author":"Kloft M.","year":"2010","unstructured":"M. Kloft , U. Brefeld , S. Sonnenburg , and A. Zien . Non-sparse regularization and efficient training with multiple kernels. arxiv preprint arXiv:1003.0079 , 2010 . M. Kloft, U. Brefeld, S. Sonnenburg, and A. Zien. Non-sparse regularization and efficient training with multiple kernels. arxiv preprint arXiv:1003.0079, 2010."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/301136.301186"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505589"},{"key":"e_1_3_2_1_22_1","first-page":"339","volume-title":"Proceedings of the 25th conference on Uncertainty in Artificial Intelligence","author":"Liu J.","year":"2009","unstructured":"J. Liu , S. Ji , and J. Ye . Multi-task feature learning via efficient l2,1-norm minimization . In Proceedings of the 25th conference on Uncertainty in Artificial Intelligence , pages 339 -- 348 , Montreal, Canada , 2009 . J. Liu, S. Ji, and J. Ye. Multi-task feature learning via efficient l2,1-norm minimization. In Proceedings of the 25th conference on Uncertainty in Artificial Intelligence, pages 339--348, Montreal, Canada, 2009."},{"key":"e_1_3_2_1_23_1","first-page":"1062","volume-title":"Proceedings of the 31st International Conference on Machine Learning","author":"Nie F.","year":"2014","unstructured":"F. Nie , J. Yuan , and H. Huang . Optimal mean robust principal component analysis . In Proceedings of the 31st International Conference on Machine Learning , pages 1062 -- 1070 , Beijing, China , 2014 . F. Nie, J. Yuan, and H. Huang. Optimal mean robust principal component analysis. In Proceedings of the 31st International Conference on Machine Learning, pages 1062--1070, Beijing, China, 2014."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661993"},{"key":"e_1_3_2_1_25_1","first-page":"2491","volume":"9","author":"Rakotomamonjy A.","year":"2008","unstructured":"A. Rakotomamonjy , F. Bach , S. Canu , and Y. Grandvalet . SimpleMKL. Journal of Machine Learning Research , 9 : 2491 -- 2521 , 2008 . A. Rakotomamonjy, F. Bach, S. Canu, and Y. Grandvalet. SimpleMKL. Journal of Machine Learning Research, 9:2491--2521, 2008.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2355114"},{"key":"e_1_3_2_1_28_1","first-page":"74","volume-title":"Proceedings of ICML workshop on Learning With Multiple Views","author":"Sindhwani V.","year":"2005","unstructured":"V. Sindhwani , P. Niyogi , and M. Belkin . A co-regularization approach to semi-supervised learning with multiple views . In Proceedings of ICML workshop on Learning With Multiple Views , pages 74 -- 79 , Bonn, Germany , 2005 . V. Sindhwani, P. Niyogi, and M. Belkin. A co-regularization approach to semi-supervised learning with multiple views. In Proceedings of ICML workshop on Learning With Multiple Views, pages 74--79, Bonn, Germany, 2005."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1137\/100781894"},{"key":"e_1_3_2_1_30_1","first-page":"352","volume-title":"Proceedings of the 30th International Conference on Machine Learning","author":"Wang H.","year":"2013","unstructured":"H. Wang , F. Nie , and H. Huang . Multi-view clustering and feature learning via structured sparsity . In Proceedings of the 30th International Conference on Machine Learning , pages 352 -- 360 , Atlanta, GA. , 2013 . H. Wang, F. Nie, and H. Huang. Multi-view clustering and feature learning via structured sparsity. In Proceedings of the 30th International Conference on Machine Learning, pages 352--360, Atlanta, GA., 2013."},{"key":"e_1_3_2_1_31_1","first-page":"2388","volume-title":"Advances in Neural Information Processing Systems 23","author":"Wang W.","year":"2010","unstructured":"W. Wang and Z.-H. Zhou . Multi-view active learning in the non-realizable case . In Advances in Neural Information Processing Systems 23 , pages 2388 -- 2396 . Cambridge, MA. : MIT Press , 2010 . W. Wang and Z.-H. Zhou. Multi-view active learning in the non-realizable case. In Advances in Neural Information Processing Systems 23, pages 2388--2396. Cambridge, MA.: MIT Press, 2010."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104466"},{"key":"e_1_3_2_1_33_1","first-page":"467","volume-title":"Proceedings of the 5th Asian Conference on Machine Learning","author":"Wang W.","year":"2013","unstructured":"W. Wang and Z.-H. Zhou . Co-training with insufficient views . In Proceedings of the 5th Asian Conference on Machine Learning , pages 467 -- 482 , Canberra, Australia , 2013 . W. Wang and Z.-H. Zhou. Co-training with insufficient views. In Proceedings of the 5th Asian Conference on Machine Learning, pages 467--482, Canberra, Australia, 2013."},{"key":"e_1_3_2_1_34_1","volume-title":"A survey on multi-view learning. arXiv preprint arXiv:1304.5634","author":"Xu C.","year":"2013","unstructured":"C. Xu , D. Tao , and C. Xu . A survey on multi-view learning. arXiv preprint arXiv:1304.5634 , 2013 . C. Xu, D. Tao, and C. Xu. A survey on multi-view learning. arXiv preprint arXiv:1304.5634, 2013."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661973"},{"key":"e_1_3_2_1_36_1","first-page":"3021","volume-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"Ye G.","year":"2012","unstructured":"G. Ye , D. Liu , I.-H. Jhuo , and S.-F. Chang . Robust late fusion with rank minimization . In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition , pages 3021 -- 3028 , Providence, RI. , 2012 . G. Ye, D. Liu, I.-H. Jhuo, and S.-F. Chang. Robust late fusion with rank minimization. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 3021--3028, Providence, RI., 2012."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168767"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2157998"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-009-0209-z"},{"key":"e_1_3_2_1_40_1","first-page":"675","volume-title":"Proceedings of the 22nd AAAI conference on Artificial Intelligence","author":"Zhou Z.-H.","year":"2007","unstructured":"Z.-H. Zhou , D.-C. Zhan , and Q. Yang . Semi-supervised learning with very few labeled training examples . In Proceedings of the 22nd AAAI conference on Artificial Intelligence , pages 675 -- 680 , Vancouver, Canada , 2007 . Z.-H. Zhou, D.-C. Zhan, and Q. Yang. Semi-supervised learning with very few labeled training examples. In Proceedings of the 22nd AAAI conference on Artificial Intelligence, pages 675--680, Vancouver, Canada, 2007."}],"event":{"name":"CIKM'15: 24th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Melbourne Australia","acronym":"CIKM'15"},"container-title":["Proceedings of the 24th ACM International on Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2806416.2806552","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2806416.2806552","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:43:43Z","timestamp":1750225423000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2806416.2806552"}},"subtitle":["A Privacy-Preserving Approach"],"short-title":[],"issued":{"date-parts":[[2015,10,17]]},"references-count":40,"alternative-id":["10.1145\/2806416.2806552","10.1145\/2806416"],"URL":"https:\/\/doi.org\/10.1145\/2806416.2806552","relation":{},"subject":[],"published":{"date-parts":[[2015,10,17]]},"assertion":[{"value":"2015-10-17","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}