{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T21:45:12Z","timestamp":1782164712083,"version":"3.54.5"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation (NSF)-Business Finland Center for Visual and Decision Informatics (CVDI) Project Amalia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014438","name":"Business Finland projects VIRPA D and Industrial Data Excellence (INDEX) (Digital, Internet, Materials and Engineering Co-Creation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014438","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3007123","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T20:36:23Z","timestamp":1594067783000},"page":"122013-122025","source":"Crossref","is-referenced-by-count":23,"title":["Ellipsoidal Subspace Support Vector Data Description"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8080-4011","authenticated-orcid":false,"given":"Fahad","family":"Sohrab","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4631-9298","authenticated-orcid":false,"given":"Jenni","family":"Raitoharju","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandros","family":"Iosifidis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moncef","family":"Gabbouj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978035"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.12.008"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2272292"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545819"},{"key":"ref31","first-page":"13","article-title":"Ellipsoidal support vector data description in kernel PCA subspace","author":"wang","year":"2016","journal-title":"Proc 3rd Int Conf Digit Inf Process Data Mining Wireless Commun (DIPDMWC)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007960531949"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.222"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883537"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888924"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2815606"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref40","first-page":"1294","article-title":"Joint feature selection and subspace learning","author":"gu","year":"2011","journal-title":"Proc 22nd Int Joint Conf Artif Intell"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(98)00031-9"},{"key":"ref12","first-page":"1","article-title":"SV estimation of a distribution&#x2019;s support","volume":"12","author":"sch\u00f6lkopf","year":"1999","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"ref14","first-page":"4393","article-title":"Deep one-class classification","author":"ruff","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2010.01.018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s12541-018-0154-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.05.033"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-3277-0"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167180"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.070"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2905933"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03969-0_24"},{"key":"ref3","author":"fukunaga","year":"2013","journal-title":"Introduction to statistical pattern recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2016.7813387"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10922-010-9165-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-016-9541-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.884673"},{"key":"ref7","first-page":"1","article-title":"One-class classification: Concept learning in the absence of counter-examples","volume":"65","author":"tax","year":"2001"},{"key":"ref2","first-page":"3","article-title":"Supervised machine learning: A review of classification techniques","volume":"160","author":"kotsiantis","year":"2007","journal-title":"Emerg Artif Intell Appl Comput Eng"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1198\/016214502760047131"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7_14"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1142\/S021800140300240X"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.028"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21566-7"},{"key":"ref48","article-title":"A MATLAB toolbox for data description, outlier and novelty detection version 1.7.5","author":"tax","year":"2010"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-012-0484-y"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-017-0646-3"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2013.6691596"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1109\/TNN.2010.2053853","article-title":"Fast support vector data descriptions for novelty detection","volume":"21","author":"liu","year":"2010","journal-title":"IEEE Trans Neural Netw"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICSEE.2016.7806077"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2007.4379964"},{"key":"ref44","author":"dua","year":"2017","journal-title":"UCI Machine Learning Repository"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCKE.2011.6413318"},{"key":"ref43","author":"petersen","year":"2012","journal-title":"The Matrix Cookbook Version 20121115"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.04.001"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09133428.pdf?arnumber=9133428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:29Z","timestamp":1641949769000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9133428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3007123","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}