{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T20:50:30Z","timestamp":1761598230779,"version":"3.41.0"},"reference-count":53,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2020,7,5]],"date-time":"2020-07-05T00:00:00Z","timestamp":1593907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Startup Foundation for Talents of Nanjing University of Information Science and Technology"},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61702273"],"award-info":[{"award-number":["61702273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"crossref","award":["BK20170956"],"award-info":[{"award-number":["BK20170956"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["NJ2019010"],"award-info":[{"award-number":["NJ2019010"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of the Jiangsu Higher Education Institutions of China","award":["17KJB520022"],"award-info":[{"award-number":["17KJB520022"]}]},{"name":"Open Projects Program of National Laboratory of Pattern Recognition","award":["202000007"],"award-info":[{"award-number":["202000007"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Intell. Syst. Technol."],"published-print":{"date-parts":[[2020,10,31]]},"abstract":"<jats:p>\n            Canonical correlation analysis (CCA) is a typical and useful learning paradigm in big data analysis for capturing correlation across multiple views of the same objects. When dealing with data with additional ordinal information, traditional CCA suffers from poor performance due to ignoring the ordinal relationships within the data. Such data is becoming increasingly common, as either temporal or sequential information is often associated with the data collection process. To incorporate the ordinal information into the objective function of CCA, the so-called ordinal discriminative CCA has been presented in the literature. Although ordinal discriminative CCA can yield better ordinal regression results, its performance deteriorates when data is corrupted with noise and outliers, as it tends to smear the order information contained in class centers. To address this issue, in this article we construct a robust manifold-preserved ordinal discriminative correlation regression (rmODCR). The robustness is achieved by replacing the traditional (\n            <jats:italic>l<\/jats:italic>\n            <jats:sub>2<\/jats:sub>\n            -norm) class centers with\n            <jats:italic>\n              l\n              <jats:sub>p<\/jats:sub>\n            <\/jats:italic>\n            -norm centers, where\n            <jats:italic>p<\/jats:italic>\n            is efficiently estimated according to the moments of the data distributions, as well as by incorporating the manifold distribution information of the data in the objective optimization. In addition, we further extend the robust manifold-preserved ordinal discriminative correlation regression to deep convolutional architectures. Extensive experimental evaluations have demonstrated the superiority of the proposed methods.\n          <\/jats:p>","DOI":"10.1145\/3402445","type":"journal-article","created":{"date-parts":[[2020,7,5]],"date-time":"2020-07-05T21:17:01Z","timestamp":1593983821000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data"],"prefix":"10.1145","volume":"11","author":[{"given":"Qing","family":"Tian","sequence":"first","affiliation":[{"name":"Nanjing University of Information Science and Technology, Ningliu Road, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University of Information Science and Technology, Ningliu Road, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Cao","sequence":"additional","affiliation":[{"name":"Nanjing University of Information Science and Technology, Ningliu Road, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangjun Road, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0030-3645","authenticated-orcid":false,"given":"Songcan","family":"Chen","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangjun Road, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hujun","family":"Yin","sequence":"additional","affiliation":[{"name":"University of Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,7,5]]},"reference":[{"volume-title":"Hinton","year":"2012","author":"Alex Krizhevsky","key":"e_1_2_1_1_1"},{"volume-title":"Proceedings of the International Conference on Machine Learning. 1239--1247","year":"2013","author":"Andrew Galen","key":"e_1_2_1_2_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_1","DOI":"10.1109\/TSMC.1979.4310229"},{"doi-asserted-by":"publisher","key":"e_1_2_1_4_1","DOI":"10.1109\/TMM.2015.2420374"},{"doi-asserted-by":"publisher","key":"e_1_2_1_5_1","DOI":"10.1162\/neco.2007.19.3.792"},{"doi-asserted-by":"publisher","key":"e_1_2_1_6_1","DOI":"10.1007\/s10994-010-5222-7"},{"volume-title":"Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP\u201906)","author":"Erzin Engin","key":"e_1_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_8_1","DOI":"10.1117\/1.JEI.26.5.053002"},{"doi-asserted-by":"publisher","key":"e_1_2_1_9_1","DOI":"10.1109\/TIFS.2016.2569061"},{"doi-asserted-by":"publisher","key":"e_1_2_1_10_1","DOI":"10.1109\/TCSVT.2012.2202075"},{"key":"e_1_2_1_11_1","first-page":"186","article-title":"Locality preserving projections","volume":"16","author":"He Xiaofei","year":"2003","journal-title":"Advances in Neural Information Processing Systems"},{"doi-asserted-by":"publisher","key":"e_1_2_1_12_1","DOI":"10.1016\/j.neucom.2004.04.013"},{"doi-asserted-by":"publisher","key":"e_1_2_1_13_1","DOI":"10.1093\/biomet\/28.3-4.321"},{"doi-asserted-by":"publisher","key":"e_1_2_1_14_1","DOI":"10.1016\/j.patcog.2009.07.015"},{"doi-asserted-by":"publisher","key":"e_1_2_1_15_1","DOI":"10.1016\/j.patcog.2010.02.007"},{"doi-asserted-by":"publisher","key":"e_1_2_1_16_1","DOI":"10.5244\/C.29.141"},{"doi-asserted-by":"publisher","key":"e_1_2_1_17_1","DOI":"10.1145\/2733373.2806299"},{"doi-asserted-by":"publisher","key":"e_1_2_1_18_1","DOI":"10.1109\/TPAMI.2015.2435740"},{"doi-asserted-by":"publisher","key":"e_1_2_1_19_1","DOI":"10.1109\/GCCE.2013.6664818"},{"doi-asserted-by":"publisher","key":"e_1_2_1_20_1","DOI":"10.1093\/biomet\/58.3.433"},{"key":"e_1_2_1_21_1","first-page":"473","article-title":"Seismological outliers: L1 or adaptive Lp norm application","volume":"84","author":"Kijko Andrzej","year":"1994","journal-title":"Bulletin of the Seismological Society of America"},{"unstructured":"Marius Kloft Ulf Brefeld Pavel Laskov Klaus-Robert M\u00fcller Alexander Zien and S\u00f6ren Sonnenburg. 2009. Efficient and accurate Lp-norm multiple kernel learning. In Advances in Neural Information Processing Systems. 997--1005.  Marius Kloft Ulf Brefeld Pavel Laskov Klaus-Robert M\u00fcller Alexander Zien and S\u00f6ren Sonnenburg. 2009. Efficient and accurate Lp-norm multiple kernel learning. In Advances in Neural Information Processing Systems. 997--1005.","key":"e_1_2_1_22_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_23_1","DOI":"10.5555\/1953048.2021033"},{"doi-asserted-by":"publisher","key":"e_1_2_1_24_1","DOI":"10.1007\/978-3-540-88682-2_27"},{"doi-asserted-by":"publisher","key":"e_1_2_1_25_1","DOI":"10.1109\/TPAMI.2005.92"},{"doi-asserted-by":"publisher","key":"e_1_2_1_26_1","DOI":"10.1142\/S012906570000034X"},{"doi-asserted-by":"publisher","key":"e_1_2_1_27_1","DOI":"10.1137\/S1052623498344562"},{"doi-asserted-by":"publisher","key":"e_1_2_1_28_1","DOI":"10.1016\/S0031-3203(03)00058-X"},{"volume-title":"Proceedings of the International Conference on Neural Information Processing Systems. 1813--1821","year":"2010","author":"Nie Feiping","key":"e_1_2_1_29_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_30_1","DOI":"10.2202\/1544-6115.1406"},{"volume-title":"Optimization Theory and Methods, W. Sun and Y.-X","author":"Radoslav Loki","key":"e_1_2_1_31_1"},{"volume-title":"Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval. 883--883","year":"2008","author":"Rupnik Jan","key":"e_1_2_1_32_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_33_1","DOI":"10.1109\/TMM.2007.906583"},{"doi-asserted-by":"publisher","key":"e_1_2_1_34_1","DOI":"10.1155\/2017\/2510251"},{"unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556.  Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv:1409.1556.","key":"e_1_2_1_35_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_36_1","DOI":"10.2514\/3.10553"},{"doi-asserted-by":"publisher","key":"e_1_2_1_37_1","DOI":"10.1109\/ICDM.2008.28"},{"volume-title":"Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition. 1283--1287","year":"2008","author":"Sun Ting Kai","key":"e_1_2_1_38_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_39_1","DOI":"10.1109\/TPAMI.2008.167"},{"volume-title":"IEEE Transactions on Neural Networks and Learning Systems. Epub","year":"2020","author":"Tian Qing","key":"e_1_2_1_40_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_41_1","DOI":"10.1016\/j.cviu.2018.06.003"},{"doi-asserted-by":"publisher","key":"e_1_2_1_42_1","DOI":"10.1016\/j.ins.2016.02.033"},{"doi-asserted-by":"publisher","key":"e_1_2_1_43_1","DOI":"10.1109\/TCYB.2020.2988721"},{"doi-asserted-by":"publisher","key":"e_1_2_1_44_1","DOI":"10.1007\/s11063-015-9423-8"},{"doi-asserted-by":"publisher","key":"e_1_2_1_45_1","DOI":"10.1016\/j.neucom.2018.06.041"},{"doi-asserted-by":"publisher","key":"e_1_2_1_46_1","DOI":"10.1109\/TPAMI.2006.244"},{"key":"e_1_2_1_47_1","first-page":"381","article-title":"Handwritten digit recognition by combined classifiers","volume":"34","author":"van Breukelen Martijn","year":"1998","journal-title":"Kybernetika"},{"unstructured":"Alexei Vinokourov John Shawe-Taylor and Nello Cristianini. 2002. Inferring a semantic representation of text via cross-language correlation analysis. In Advances in Neural Information Processing Systems. 1497--1504.  Alexei Vinokourov John Shawe-Taylor and Nello Cristianini. 2002. Inferring a semantic representation of text via cross-language correlation analysis. In Advances in Neural Information Processing Systems. 1497--1504.","key":"e_1_2_1_48_1"},{"doi-asserted-by":"publisher","key":"e_1_2_1_49_1","DOI":"10.1016\/j.patcog.2016.10.004"},{"doi-asserted-by":"publisher","key":"e_1_2_1_50_1","DOI":"10.1145\/2956556"},{"doi-asserted-by":"publisher","key":"e_1_2_1_51_1","DOI":"10.1145\/2168752.2168767"},{"key":"e_1_2_1_52_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3092692","article-title":"Real-time human mobility modeling with multi-view learning","volume":"9","author":"Zhang Desheng","year":"2017","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"key":"e_1_2_1_53_1","first-page":"2018","article-title":"Ordinal discriminative canonical correlation analysis","volume":"25","author":"Zhou Hangxing","year":"2014","journal-title":"Journal of Software"}],"container-title":["ACM Transactions on Intelligent Systems and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3402445","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3402445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:34Z","timestamp":1750200094000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3402445"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,5]]},"references-count":53,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020,10,31]]}},"alternative-id":["10.1145\/3402445"],"URL":"https:\/\/doi.org\/10.1145\/3402445","relation":{},"ISSN":["2157-6904","2157-6912"],"issn-type":[{"type":"print","value":"2157-6904"},{"type":"electronic","value":"2157-6912"}],"subject":[],"published":{"date-parts":[[2020,7,5]]},"assertion":[{"value":"2019-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-05-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-07-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}