{"id":"https://openalex.org/W2941263404","doi":"https://doi.org/10.1109/vcip.2018.8698736","title":"Simple Iterative Clustering on Graphs for Robust Model Fitting","display_name":"Simple Iterative Clustering on Graphs for Robust Model Fitting","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2941263404","doi":"https://doi.org/10.1109/vcip.2018.8698736","mag":"2941263404"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"article","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/A5053856154","display_name":"Hailing Luo","orcid":"https://orcid.org/0000-0003-0683-4711"},"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":true,"raw_author_name":"Hailing Luo","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050524397","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":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044594971","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, School of Information Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053856154"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.21135969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9968000054359436,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7641215324401855},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6179904937744141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6139386296272278},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5840473771095276},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5608183145523071},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49764612317085266},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.44262567162513733},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44155967235565186},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.44026339054107666},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41551434993743896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3609178960323334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35172152519226074},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1944696605205536},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10543191432952881}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7641215324401855},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6179904937744141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6139386296272278},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5840473771095276},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5608183145523071},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49764612317085266},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.44262567162513733},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44155967235565186},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.44026339054107666},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41551434993743896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3609178960323334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35172152519226074},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1944696605205536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10543191432952881},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698736","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698736","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W1519594923","https://openalex.org/W1927667002","https://openalex.org/W2011430131","https://openalex.org/W2037013808","https://openalex.org/W2053627315","https://openalex.org/W2067132795","https://openalex.org/W2085261163","https://openalex.org/W2114674762","https://openalex.org/W2115601136","https://openalex.org/W2118246710","https://openalex.org/W2134138606","https://openalex.org/W2135245997","https://openalex.org/W2150722677","https://openalex.org/W2154201540","https://openalex.org/W2171728525","https://openalex.org/W2202222344","https://openalex.org/W2753723525","https://openalex.org/W6603586546","https://openalex.org/W6683304699"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,22],"propose":[4,49],"a":[5,25,31,50,83],"novel":[6],"method,":[7],"simple":[8,51],"iterative":[9,52],"clustering":[10,53,59],"on":[11,105],"graphs":[12],"(SICG),":[13],"to":[14,61,74],"deal":[15],"with":[16,82],"robust":[17],"model":[18,32,42,45,64,102],"fitting":[19,97,103],"problems.":[20],"Specifically,":[21],"first":[23],"construct":[24],"graph,":[26],"where":[27],"each":[28,35],"vertex":[29],"denotes":[30],"hypothesis":[33],"and":[34,77,88],"edge":[36],"represents":[37],"the":[38,57],"similarity":[39],"between":[40],"two":[41],"hypotheses,":[43],"for":[44],"fitting.":[46],"We":[47],"then":[48],"algorithm,":[54,60],"which":[55],"adapts":[56],"k-medoids":[58],"intuitively":[62],"estimate":[63],"instances":[65],"in":[66],"data.":[67],"The":[68],"proposed":[69],"SICG":[70,94],"method":[71],"is":[72],"able":[73],"effectively":[75],"fit":[76],"segment":[78],"multiple-structure":[79],"data":[80],"contaminated":[81],"large":[84],"number":[85],"of":[86],"outliers":[87],"noises.":[89],"Experimental":[90],"results":[91,98],"show":[92],"that":[93],"achieves":[95],"superior":[96],"over":[99],"several":[100],"state-of-the-art":[101],"methods":[104],"real":[106],"images.":[107]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}