{"id":"https://openalex.org/W4408354145","doi":"https://doi.org/10.1109/icassp49660.2025.10889803","title":"Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering","display_name":"Unsupervised Multi-View Outlier Detection via Optimal Graph Filtering","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354145","doi":"https://doi.org/10.1109/icassp49660.2025.10889803"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057532833","display_name":"Zhiguo Hu","orcid":"https://orcid.org/0000-0003-3468-743X"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Hu","raw_affiliation_strings":["Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387128","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-3009-2669"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424705","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0002-3607-0022"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Anhui University,School of Computer Science and Technology,Hefei,China,230601"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University,School of Computer Science and Technology,Hefei,China,230601","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016197750","display_name":"Liang Du","orcid":"https://orcid.org/0000-0002-3294-5071"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Du","raw_affiliation_strings":["Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi University,School of Computer and Information Technology,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003563112","display_name":"Yuhua Qian","orcid":"https://orcid.org/0000-0001-6772-4247"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Qian","raw_affiliation_strings":["Shanxi University,Institute of Big Data Science and Industry,Taiyuan,China,030006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi University,Institute of Big Data Science and Industry,Taiyuan,China,030006","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089338846","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-3440-1596"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Tongji University,Department of Computer Science and Engineering,Shanghai,China,201804"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tongji University,Department of Computer Science and Engineering,Shanghai,China,201804","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yanming Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Zhang","raw_affiliation_strings":["China Mobile Communications Group Shanxi Co., Ltd.,Taiyuan,China,030032"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Communications Group Shanxi Co., Ltd.,Taiyuan,China,030032","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12391","display_name":"Artificial Immune Systems Applications","score":0.9319000244140625,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093340158462524},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6311241984367371},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5472632050514221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5100598931312561},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49116799235343933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.461650013923645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3221941590309143},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1865108609199524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093340158462524},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6311241984367371},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5472632050514221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100598931312561},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49116799235343933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.461650013923645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3221941590309143},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1865108609199524}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null},{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W580709845","https://openalex.org/W1967722387","https://openalex.org/W1982893028","https://openalex.org/W1986817851","https://openalex.org/W1991252559","https://openalex.org/W2016896048","https://openalex.org/W2048030021","https://openalex.org/W2101491865","https://openalex.org/W2137823674","https://openalex.org/W2404087539","https://openalex.org/W2521050763","https://openalex.org/W2621679680","https://openalex.org/W2758021822","https://openalex.org/W2780298283","https://openalex.org/W2788954130","https://openalex.org/W2904341359","https://openalex.org/W3093775371","https://openalex.org/W3174595918","https://openalex.org/W3176694003","https://openalex.org/W4214876032","https://openalex.org/W4226124542","https://openalex.org/W4293187572","https://openalex.org/W4367016851","https://openalex.org/W4385420750","https://openalex.org/W4386431991","https://openalex.org/W4386574351","https://openalex.org/W4387967896","https://openalex.org/W4390135198","https://openalex.org/W4390415045","https://openalex.org/W4390692039","https://openalex.org/W4392843872","https://openalex.org/W4392904746","https://openalex.org/W4401835920","https://openalex.org/W4402576543","https://openalex.org/W4402702916","https://openalex.org/W4403791292","https://openalex.org/W6680914561","https://openalex.org/W6697109910","https://openalex.org/W6803318553"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Unsupervised":[0],"multi-view":[1],"outlier":[2,43],"detection":[3,36,124],"has":[4],"garnered":[5],"increasing":[6],"attention":[7],"in":[8,45],"recent":[9],"years,":[10],"yet":[11],"existing":[12],"methods":[13,40],"face":[14],"persistent":[15],"challenges.":[16],"Many":[17],"approaches":[18],"rely":[19],"predominantly":[20],"on":[21,77],"first-order":[22],"neighborhood":[23,97],"information,":[24],"overlooking":[25],"the":[26,106,113],"richer":[27],"insights":[28],"offered":[29],"by":[30,99],"higher-order":[31],"structures,":[32],"which":[33],"can":[34],"degrade":[35],"accuracy.":[37],"Additionally,":[38],"some":[39],"suffer":[41],"from":[42],"domination":[44],"their":[46],"objective":[47,114],"functions,":[48],"leading":[49],"to":[50,111],"suboptimal":[51],"performance.":[52],"Integrating":[53],"information":[54],"effectively":[55],"across":[56,138],"multiple":[57],"views":[58],"also":[59],"remains":[60],"a":[61,70,87],"significant":[62],"hurdle.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68,104],"propose":[69],"novel":[71],"Multi-View":[72],"Outlier":[73],"Detection":[74],"method":[75,132],"based":[76],"Optimal":[78],"Graph":[79],"Filtering":[80],"(MODGF).":[81],"Our":[82],"approach":[83],"detects":[84],"outliers":[85],"using":[86],"high-order":[88],"graph":[89],"filtering":[90,101],"mechanism,":[91],"ensuring":[92],"consistency":[93],"between":[94],"feature":[95],"and":[96,116,136],"spaces":[98],"sharing":[100],"parameters.":[102],"Furthermore,":[103],"incorporate":[105],"Corr-entropy":[107],"Induced":[108],"Metric":[109],"(CIM)":[110],"refine":[112],"function":[115],"introduce":[117],"an":[118],"efficient":[119,137],"scoring":[120],"strategy":[121],"for":[122],"enhanced":[123],"reliability.":[125],"Extensive":[126],"experimental":[127],"results":[128],"demonstrate":[129],"that":[130],"our":[131],"is":[133,142],"both":[134],"stable":[135],"scenarios.":[139],"The":[140],"code":[141],"available":[143],"at":[144],"https://github.com/criticcc/MODGF.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}