{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:34:43Z","timestamp":1787013283392,"version":"build-2736575974"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61273196"],"award-info":[{"award-number":["61273196"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"publisher","award":["61573348"],"award-info":[{"award-number":["61573348"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council within Computational NeuroEngineering Laboratory","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1109\/tnnls.2016.2637351","type":"journal-article","created":{"date-parts":[[2016,12,29]],"date-time":"2016-12-29T14:14:22Z","timestamp":1483020862000},"page":"510-522","source":"Crossref","is-referenced-by-count":46,"title":["Robust C-Loss Kernel Classifiers"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3277-4858","authenticated-orcid":false,"given":"Guibiao","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bao-Gang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jose C.","family":"Principe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177704472"},{"key":"ref38","author":"vapnik","year":"1999","journal-title":"The Nature of Statistical Learning Theory"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495055"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00155"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1109\/TPAMI.2010.220","article-title":"Maximum correntropy criterion for robust face recognition","volume":"33","author":"he","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.09.023"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252721"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.907881"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.2002039"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4419-1570-2","author":"principe","year":"2010","journal-title":"Information Theoretic Learning R&#x00E9;nyi&#x2019;s Entropy and Kernel Perspectives"},{"key":"ref27","first-page":"243","article-title":"Efficient SVM training using low-rank kernel representations","volume":"2","author":"fine","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1002\/9780470434697","author":"huber","year":"2009","journal-title":"Robust Statist"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1079120130"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/72.914517"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2013.07.017"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1137\/030600862"},{"key":"ref21","author":"tikhonov","year":"1977","journal-title":"Solutions Ill-Posed Problems"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177697089"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2005.864173"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2007.896065"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176347872"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.820828"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(03)00429-6"},{"key":"ref57","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"dem\u0161ar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref56","first-page":"697","article-title":"TANAGRA: A free software for research and academic purposes","volume":"2","author":"rakotomalala","year":"2005","journal-title":"Proc EGC RNTI-E"},{"key":"ref55","first-page":"363","article-title":"Core vector machines: Fast SVM training on very large data sets","volume":"6","author":"tsang","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref54","first-page":"255","article-title":"Keel data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework","volume":"17","author":"alcal\u00e1-fdez","year":"2011","journal-title":"J Multiple-Valued Logic Soft Comput"},{"key":"ref53","author":"bache","year":"2013","journal-title":"UCI Machine Learning Repository"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-005-0012-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00644-0"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-013-0626-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2042721"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143870"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.109"},{"key":"ref15","first-page":"1098","article-title":"Outlier path: A homotopy algorithm for robust SVM","author":"suzumura","year":"2014","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref16","first-page":"1049","article-title":"On the design of loss functions for classification: Theory, robustness to outliers, and SavageBoost","author":"masnadi-shirazi","year":"2008","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.11"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.03.037"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1198\/016214507000000617"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1198\/016214505000000907"},{"key":"ref6","author":"hastie","year":"2009","journal-title":"The Elements of Statistical Learning Data Mining Inference and Prediction"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2292894"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1023\/B:AIRE.0000045502.10941.a9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2475750"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972719.13"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008082.80494.e0"},{"key":"ref45","author":"golub","year":"2012","journal-title":"Matrix Computations"},{"key":"ref48","first-page":"911","article-title":"Sparse greedy matrix approximation for machine learning","author":"smola","year":"2000","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2014.6889606"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553526"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2359798"},{"key":"ref43","first-page":"682","article-title":"Using the Nystr&#x00F6;m method to speed up kernel machines","author":"williams","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8301440\/07801825.pdf?arnumber=7801825","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:25:58Z","timestamp":1641986758000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7801825\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":57,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2016.2637351","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3]]}}}