{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T10:34:18Z","timestamp":1784716458406,"version":"3.55.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61375065"],"award-info":[{"award-number":["61375065"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["61602066"],"award-info":[{"award-number":["61602066"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Program of National Science Foundation of China","award":["61432012"],"award-info":[{"award-number":["61432012"]}]},{"name":"State Key Program of National Science Foundation of China","award":["61432014"],"award-info":[{"award-number":["61432014"]}]},{"name":"Scientific Research Foundation of CUIT","award":["KYTZ201608"],"award-info":[{"award-number":["KYTZ201608"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/tnnls.2016.2614896","type":"journal-article","created":{"date-parts":[[2016,10,19]],"date-time":"2016-10-19T18:13:03Z","timestamp":1476900783000},"page":"51-62","source":"Crossref","is-referenced-by-count":55,"title":["An Efficient Representation-Based Method for Boundary Point and Outlier Detection"],"prefix":"10.1109","volume":"29","author":[{"given":"Xiaojie","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3341-4034","authenticated-orcid":false,"given":"Jiancheng","family":"Lv","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9961-0_2"},{"key":"ref38","first-page":"2862","article-title":"Manifold alignment based on sparse local structures of more corresponding pairs","author":"li","year":"2013","journal-title":"Proc Intern Joint Conf Artificial Intel (IJCAI)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","article-title":"A global geometric framework for nonlinear dimensionality reduction","volume":"290","author":"tenenbaum","year":"2000","journal-title":"Science"},{"key":"ref31","first-page":"392","article-title":"Finding underlying connections: A fast graph-based method for link analysis and collaboration queries","author":"kubica","year":"2003","journal-title":"Proc 20th Int Conf Mach Learn (ICML)"},{"key":"ref30","first-page":"55","article-title":"Sparse manifold clustering and embedding","author":"elhamifar","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","first-page":"663","article-title":"Robust subspace segmentation by low-rank representation","author":"liu","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref36","first-page":"234","article-title":"Locality preserving projections","volume":"16","author":"he","year":"2003","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref35","first-page":"119","article-title":"Think globally, fit locally: Unsupervised learning of low dimensional manifolds","volume":"4","author":"saul","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref34","article-title":"Locally linear embedded eigenspace analysis","author":"fu","year":"2005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2320293"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2011.04.013"},{"key":"ref29","first-page":"1464","article-title":"A surface representation approach for novelty detection","author":"li","year":"2008","journal-title":"Proc IEEE Int Conf Inf Autom (ICIA)"},{"key":"ref2","first-page":"37","article-title":"From data mining to knowledge discovery in databases","volume":"17","author":"fayyad","year":"1996","journal-title":"Advances in Knowledge Discovery and Data Mining"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2009.2038711"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335388"},{"key":"ref22","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":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401946"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/11731139_67"},{"key":"ref23","volume":"509","author":"shewhart","year":"1931","journal-title":"Economic Control of Quality of Manufactured Product"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.38"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1145\/1014052.1014102","article-title":"Eigenspace-based anomaly detection in computer systems","author":"id\u00e9","year":"2004","journal-title":"Proc ACM SIGKDD Int Conf Knowledge Discovery and Data Mining"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335415"},{"key":"ref51","first-page":"744","article-title":"Reverse kNN search in arbitrary dimensionality","volume":"30","author":"tao","year":"2004","journal-title":"Proc 30th Int Conf Very Large Data Bases"},{"key":"ref58","article-title":"A meta analysis study of outlier detection methods in classification","author":"acuna","year":"2004"},{"key":"ref57","author":"forsyth","year":"1990","journal-title":"Pc\/beagle User’s Guide"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1217299.1217303"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"1492","DOI":"10.1126\/science.1242072","article-title":"Clustering by fast search and find of density peaks","volume":"344","author":"rodriguez","year":"2014","journal-title":"Science"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-8-3"},{"key":"ref53","first-page":"55","article-title":"Sparse manifold clustering and embedding","author":"elhamifar","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.38"},{"key":"ref10","first-page":"1","article-title":"Outlier detection techniques","author":"kriegel","year":"2009","journal-title":"Proc 13th Pacific-Asia Conf Adv Knowl Discovery Data Mining"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","article-title":"Nonlinear dimensionality reduction by locally linear embedding","volume":"290","author":"roweis","year":"2000","journal-title":"Science"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/B:AIRE.0000045502.10941.a9"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2004.1334558"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/376284.375668"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-06605-9_40"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1033211"},{"key":"ref17","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":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-011-0625-3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2670109"},{"key":"ref4","author":"lv","year":"2011","journal-title":"Subspace Learning of Neural Networks"},{"key":"ref3","volume":"lnai 8444","author":"tseng","year":"2014","journal-title":"Advances in Knowledge Discovery and Data Mining"},{"key":"ref6","first-page":"433","article-title":"Angle-based outlier detection algorithm with more stable relationships","volume":"1","author":"li","year":"2014","journal-title":"Proc 8th Asia Pacific Symp Intell Evolution Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.891193"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/375663.375668"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1049\/cp:19950597"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2306063"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9961-0"},{"key":"ref48","first-page":"41","article-title":"Basis pursuit","volume":"1","author":"chen","year":"1994","journal-title":"Proc Conf Rec 28th Asilomar Conf Signals Syst Comput"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.57"},{"key":"ref42","first-page":"1745","article-title":"A local non-negative pursuit method for intrinsic manifold structure preservation","author":"chen","year":"2014","journal-title":"Proc 28th AAAI Conf Artif Intell"},{"key":"ref41","first-page":"120","article-title":"Semisupervised alignment of manifolds","author":"ham","year":"2005","journal-title":"Proc Int Workshop Artif Intell Statist"},{"key":"ref44","author":"bertsekas","year":"2009","journal-title":"Convex Optimization Theory"},{"key":"ref43","author":"joy","year":"2000","journal-title":"Affine Combinations Barycentric Coordinates and Convex Combinations"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8244326\/07593360.pdf?arnumber=7593360","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T14:34:03Z","timestamp":1692542043000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7593360\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":58,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2016.2614896","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}