{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T10:27:28Z","timestamp":1782210448540,"version":"3.54.5"},"reference-count":81,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2015,3,1]],"date-time":"2015-03-01T00:00:00Z","timestamp":1425168000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"University of Ulster Vice Chancellors Research Scholarship Scheme"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2015,3]]},"DOI":"10.1109\/tnnls.2014.2320293","type":"journal-article","created":{"date-parts":[[2014,5,16]],"date-time":"2014-05-16T18:06:19Z","timestamp":1400263579000},"page":"576-588","source":"Crossref","is-referenced-by-count":25,"title":["Novelty Detection Using Level Set Methods"],"prefix":"10.1109","volume":"26","author":[{"family":"Xuemei Ding","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"family":"Yuhua Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ammar","family":"Belatreche","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liam P.","family":"Maguire","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","author":"frank","year":"2010","journal-title":"UCI Machine Learning Repository"},{"key":"ref72","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1109\/TSMC.1977.4309789","article-title":"Fuzzy sets and decisionmaking approaches in vowel and speaker recognition","volume":"7","author":"pal","year":"1977","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"key":"ref71","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1109\/TPAMI.2010.188","article-title":"Selecting critical patterns based on local geometrical and statistical information","volume":"33","author":"li","year":"2011","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref70","author":"ihler","year":"2013","journal-title":"Kernel Density Estimation Toolbox for Matlab"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1145\/355744.355745"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1182"},{"key":"ref74","first-page":"1","article-title":"Statistical comparisons of classifiers over multiple data sets","volume":"7","author":"demsar","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.01.019"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.884673"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0625-3"},{"key":"ref78","first-page":"100","article-title":"A k-means clustering algorithm","volume":"28","author":"hartigan","year":"1979","journal-title":"Appl Stat J Roy Statist Soc Ser C"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1017\/S0962492904000182"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2125961"},{"key":"ref32","first-page":"1625","article-title":"One-class classification based finance news story recommendation","volume":"5","author":"wei","year":"2009","journal-title":"J Comput Inform Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.01.019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.04.013"},{"key":"ref37","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":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2011.01.007"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.07.003"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-23878-9_27"},{"key":"ref60","author":"sethian","year":"1999","journal-title":"Level Set Methods and Fast Marching Methods Evolving Interfaces in Computational Geometry Fluid Mechanics Computer Vision and Materials Science"},{"key":"ref62","first-page":"303","article-title":"On the relationship between active contours and contextual classification","author":"tomczyk","year":"2005","journal-title":"Proc 4th Int Conf Comput Recognition Syst Rydzyna Castle Poland"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/OCCBIO.2009.30"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74958-5_11"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000008084.60811.49"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2011.03.010"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.21"},{"key":"ref66","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref29","first-page":"582","article-title":"Support vector method for novelty detection","volume":"12","author":"sch\u00f6lkopf","year":"2000","journal-title":"Adv Neural Inform Process Syst"},{"key":"ref67","author":"chang","year":"2011","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref68","author":"duin","year":"2010","journal-title":"PRTOOLS A Matlab Toolbox for Pattern Recognition"},{"key":"ref69","author":"tax","year":"2012","journal-title":"DDtools the Data Description Toolbox for Matlab"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2008.4526423"},{"key":"ref1","first-page":"946","article-title":"Support vector novelty detection applied to jet engine vibration spectra","volume":"13","author":"hayton","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.03.006"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2010.10.018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.07.002"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2058578"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252712"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsv.2009.07.020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2012.02.036"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1287\/opre.1100.0825"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2122247"},{"key":"ref59","doi-asserted-by":"crossref","DOI":"10.1007\/b98879","author":"osher","year":"2003","journal-title":"Level Set Methods and Dynamic Implicit Surfaces"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-007-9174-4"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/0021-9991(88)90002-2"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.117"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2010.07.006"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2010.10.008"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.07.002"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-010-0513-6"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxr026"},{"key":"ref11","author":"gupta","year":"2013","journal-title":"Outlier Detection for Temporal Data A Survey"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2012.03.004"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1613\/jair.3623","article-title":"Toward supervised anomaly detection","volume":"46","author":"gornitz","year":"2013","journal-title":"J Artif Intell Res"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2009.09.009"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1109\/TPAMI.2009.24","article-title":"A small sphere and large margin approach for novelty detection using training data with outliers","volume":"31","author":"wu","year":"2009","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596456"},{"key":"ref16","first-page":"536","article-title":"Relative novelty detection","volume":"5","author":"smola","year":"2009","journal-title":"J Mach Learn Res"},{"key":"ref81","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1098\/rsta.2006.1931","article-title":"Static and dynamic novelty detection methods for jet engine health monitoring","volume":"365","author":"paul","year":"2007","journal-title":"Philos Trans Roy Soc A Math Phys Eng Sci"},{"key":"ref17","first-page":"2973","article-title":"Semi-supervised novelty detection","volume":"11","author":"blanchard","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.72"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2010.2049754"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.898969"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.910175"},{"key":"ref3","first-page":"491","article-title":"Classification using geometric level sets","volume":"11","author":"varshney","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2000449"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2007.02.001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1023\/B:AIRE.0000045502.10941.a9"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252703"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596353"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.61"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.07.024"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2010.2060732"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2008.05.003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-007-0169-8"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.204"},{"key":"ref43","first-page":"452","article-title":"A new outlier detection algorithm based on manifold learning","author":"tang","year":"2010","journal-title":"Proc CCDC"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/7042870\/06817597.pdf?arnumber=6817597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:40:54Z","timestamp":1642005654000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6817597\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,3]]},"references-count":81,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2014.2320293","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,3]]}}}