{"id":"https://openalex.org/W3080545096","doi":"https://doi.org/10.1109/tie.2020.3018074","title":"Hierarchical Representation Via Message Propagation for Robust Model Fitting","display_name":"Hierarchical Representation Via Message Propagation for Robust Model Fitting","publication_year":2020,"publication_date":"2020-08-25","ids":{"openalex":"https://openalex.org/W3080545096","doi":"https://doi.org/10.1109/tie.2020.3018074","mag":"3080545096"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2020.3018074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2020.3018074","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.14597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shuyuan Lin","orcid":"https://orcid.org/0000-0003-3247-4625"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Lin","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0003-3247-4625","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xing Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guobao Xiao","orcid":"https://orcid.org/0000-0003-2928-8100"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guobao Xiao","raw_affiliation_strings":["College of Computer and Control Engineering, Minjiang University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2928-8100","affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3674-7160","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hanzi Wang","orcid":"https://orcid.org/0000-0002-6913-9786"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzi Wang","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-6913-9786","affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, the School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3038,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84923876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"68","issue":"9","first_page":"8582","last_page":"8592"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.298799991607666,"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":0.298799991607666,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.2143000066280365,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.050200000405311584,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7156999707221985},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.5931000113487244},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5175999999046326},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5065000057220459},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.45910000801086426},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.42320001125335693},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.4065999984741211},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4056999981403351},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7156999707221985},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914000272750854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5616000294685364},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5175999999046326},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5065000057220459},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45910000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4465999901294708},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.42320001125335693},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.4065999984741211},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4056999981403351},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.3961000144481659},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.36169999837875366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31139999628067017},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C124527596","wikidata":"https://www.wikidata.org/wiki/Q17029359","display_name":"Hierarchical control system","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tie.2020.3018074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2020.3018074","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2012.14597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.14597","pdf_url":"https://arxiv.org/pdf/2012.14597","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.14597","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.14597","pdf_url":"https://arxiv.org/pdf/2012.14597","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3965486372","display_name":"\u57fa\u4e8e\u591a\u89c6\u56fe\u7a7a\u95f4\u4e00\u81f4\u6027\u7684\u9c81\u68d2\u6a21\u578b\u62df\u5408\u7406\u8bba\u7814\u7a76\u53ca\u5e94\u7528","funder_award_id":"62072223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6528361795","display_name":"\u590d\u6742\u573a\u666f\u4e0b\u7684\u957f\u7a0b\u76ee\u6807\u8ddf\u8e2a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61872307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8055606312","display_name":"\u57fa\u4e8e\u9c81\u68d2\u6a21\u578b\u62df\u5408\u548c\u6df1\u5ea6\u5b66\u4e60\u7684\u4eba\u8138\u5c5e\u6027\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1519594923","https://openalex.org/W2009953720","https://openalex.org/W2017485701","https://openalex.org/W2046434485","https://openalex.org/W2060446948","https://openalex.org/W2060479496","https://openalex.org/W2067191022","https://openalex.org/W2085261163","https://openalex.org/W2106199912","https://openalex.org/W2108836590","https://openalex.org/W2111073598","https://openalex.org/W2114674762","https://openalex.org/W2130017587","https://openalex.org/W2135245997","https://openalex.org/W2144989254","https://openalex.org/W2145023731","https://openalex.org/W2158911079","https://openalex.org/W2162137128","https://openalex.org/W2165232124","https://openalex.org/W2171728525","https://openalex.org/W2321984146","https://openalex.org/W2343144455","https://openalex.org/W2528666896","https://openalex.org/W2592419903","https://openalex.org/W2592655240","https://openalex.org/W2616020567","https://openalex.org/W2622287508","https://openalex.org/W2769591697","https://openalex.org/W2776964833","https://openalex.org/W2786092739","https://openalex.org/W2800412873","https://openalex.org/W2901173481","https://openalex.org/W6683304699"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,62,83,129],"propose":[4,130],"a":[5,72,86,92,97,177],"novel":[6],"hierarchical":[7,73,87,127,133],"representation":[8,74],"via":[9],"message":[10,134],"propagation":[11,135,141],"(HRMP)":[12],"method":[13],"for":[14,44],"robust":[15,45],"model":[16,37,46,59,93,102,110,168,200],"fitting,":[17],"which":[18,89],"simultaneously":[19],"takes":[20],"advantages":[21],"of":[22,35,49,53,91,166,180,205],"both":[23,185],"the":[24,28,33,51,64,68,77,113,126,149,162,193],"consensus":[25,65],"analysis":[26,30],"and":[27,67,96,112,137,147,164,188,208],"preference":[29,69],"to":[31,75,79,107,119,143],"estimate":[32,161],"parameters":[34,165],"multiple":[36,167],"instances":[38,169],"from":[39],"data":[40,55,98,114,151,174,187],"corrupted":[41],"by":[42],"outliers,":[43],"fitting.":[47],"Instead":[48],"analyzing":[50],"information":[52,66,70],"each":[54,58],"point":[56,99,115],"or":[57],"hypothesis":[60,94,103],"independently,":[61],"formulate":[63],"as":[71],"alleviate":[76],"sensitivity":[78],"gross":[80,121],"outliers.":[81,122,181],"Specifically,":[82],"first":[84],"construct":[85],"representation,":[88,128],"consists":[90],"layer":[95,104,116],"layer.":[100],"The":[101,154],"is":[105,117],"used":[106,118],"remove":[108,120],"insignificant":[109,145],"hypotheses":[111],"Then,":[123],"based":[124],"on":[125,184],"an":[131,138],"effective":[132],"algorithm":[136,142],"improved":[139],"affinity":[140],"prune":[144],"vertices":[146],"cluster":[148],"remaining":[150],"points,":[152],"respectively.":[153],"proposed":[155,194],"HRMP":[156,195],"can":[157],"not":[158],"only":[159],"accurately":[160],"number":[163,179],"but":[170],"also":[171],"handle":[172],"multistructural":[173],"contaminated":[175],"with":[176],"large":[178],"Experimental":[182],"results":[183],"synthetic":[186],"real":[189],"images":[190],"show":[191],"that":[192],"significantly":[196],"outperforms":[197],"several":[198],"state-of-the-art":[199],"fitting":[201,206],"methods":[202],"in":[203],"terms":[204],"accuracy":[207],"speed.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-09-01T00:00:00"}