{"id":"https://openalex.org/W2062992928","doi":"https://doi.org/10.1109/tip.2015.2416639","title":"Density Maximization for Improving Graph Matching With Its Applications","display_name":"Density Maximization for Improving Graph Matching With Its Applications","publication_year":2015,"publication_date":"2015-03-25","ids":{"openalex":"https://openalex.org/W2062992928","doi":"https://doi.org/10.1109/tip.2015.2416639","mag":"2062992928","pmid":"https://pubmed.ncbi.nlm.nih.gov/25823035"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2416639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2416639","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Density_maximization_for_improving_graph_matching_with_its_applications/27789987","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115076700","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0003-4887-923X"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW, Australia#TAB#","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100435848","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-0961-0441"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW, Australia","institution_ids":["https://openalex.org/I204824540"]},{"raw_affiliation_string":"Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW, Australia#TAB#","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070976480","display_name":"Lingqiao Liu","orcid":"https://orcid.org/0000-0003-3584-795X"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lingqiao Liu","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, SA, Australia","School of Computer Science, The University of Adelaide, Adelaide, SA, Australia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]},{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia#TAB#","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2856,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86446001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":"7","first_page":"2110","last_page":"2123"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9995999932289124,"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/T11106","display_name":"Data Management and Algorithms","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/outlier","display_name":"Outlier","score":0.648127555847168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6402091383934021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063443422317505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005635857582092},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5666626691818237},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5388004779815674},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5105108022689819},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.455729603767395},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.43782514333724976},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41079044342041016},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3442246913909912},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3123267889022827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17892324924468994},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.0872131884098053}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.648127555847168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6402091383934021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063443422317505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005635857582092},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5666626691818237},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5388004779815674},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5105108022689819},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.455729603767395},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.43782514333724976},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41079044342041016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3442246913909912},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3123267889022827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17892324924468994},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0872131884098053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tip.2015.2416639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2416639","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:25823035","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25823035","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:ro.uow.edu.au:eispapers-4613","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/eispapers/3594","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faculty of Engineering and Information Sciences - Papers: Part A","raw_type":"article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/91768","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/91768","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/tip.2015.2416639","raw_type":"Journal article"},{"id":"pmh:oai:figshare.com:article/27789987","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Density_maximization_for_improving_graph_matching_with_its_applications/27789987","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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:figshare.com:article/27789987","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Density_maximization_for_improving_graph_matching_with_its_applications/27789987","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W48175873","https://openalex.org/W1587878450","https://openalex.org/W1744214816","https://openalex.org/W1763426478","https://openalex.org/W1967929832","https://openalex.org/W1969552659","https://openalex.org/W1980911747","https://openalex.org/W1989417474","https://openalex.org/W1996140089","https://openalex.org/W1998840160","https://openalex.org/W2006957355","https://openalex.org/W2010339833","https://openalex.org/W2012592962","https://openalex.org/W2052094314","https://openalex.org/W2058507708","https://openalex.org/W2071975644","https://openalex.org/W2079272365","https://openalex.org/W2086052791","https://openalex.org/W2090518410","https://openalex.org/W2091244319","https://openalex.org/W2091408439","https://openalex.org/W2094539604","https://openalex.org/W2097746044","https://openalex.org/W2097922870","https://openalex.org/W2101639445","https://openalex.org/W2103375950","https://openalex.org/W2104974755","https://openalex.org/W2106199912","https://openalex.org/W2106505277","https://openalex.org/W2107855892","https://openalex.org/W2109294083","https://openalex.org/W2110096489","https://openalex.org/W2112965237","https://openalex.org/W2113137767","https://openalex.org/W2113221323","https://openalex.org/W2115733720","https://openalex.org/W2124386111","https://openalex.org/W2124465992","https://openalex.org/W2124861766","https://openalex.org/W2128017662","https://openalex.org/W2129155776","https://openalex.org/W2134236847","https://openalex.org/W2134292164","https://openalex.org/W2137145201","https://openalex.org/W2138910149","https://openalex.org/W2141362318","https://openalex.org/W2147237076","https://openalex.org/W2158256890","https://openalex.org/W2158893304","https://openalex.org/W2162098863","https://openalex.org/W2162246463","https://openalex.org/W2163148245","https://openalex.org/W2166820607","https://openalex.org/W2168002178","https://openalex.org/W2169551590","https://openalex.org/W2172188317","https://openalex.org/W2406442301","https://openalex.org/W4206610958","https://openalex.org/W4248635988","https://openalex.org/W4249022109","https://openalex.org/W6601914428","https://openalex.org/W6635241246","https://openalex.org/W6637760914","https://openalex.org/W6637776403","https://openalex.org/W6673165685","https://openalex.org/W6674934797","https://openalex.org/W6675328369","https://openalex.org/W6675352095","https://openalex.org/W6676075050","https://openalex.org/W6680439912","https://openalex.org/W6682759379","https://openalex.org/W6713818579"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W3006513224","https://openalex.org/W4366700029","https://openalex.org/W2046456988","https://openalex.org/W3175363083","https://openalex.org/W4285230481","https://openalex.org/W2357409937","https://openalex.org/W4385769873","https://openalex.org/W4210897550","https://openalex.org/W1987537206"],"abstract_inverted_index":{"Graph":[0],"matching":[1,133],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6],"both":[7,103,136],"image":[8,29,171,178],"processing":[9],"and":[10,57,105,117,130,138,150,176],"computer":[11],"vision":[12],"domain":[13],"due":[14,67],"to":[15,28,48,68,109,134,146],"its":[16,51,69],"powerful":[17],"performance":[18],"for":[19],"structural":[20],"pattern":[21],"representation.":[22],"However,":[23],"it":[24,45,59,124,145],"poses":[25],"three":[26,167],"challenges":[27,84],"sparse":[30],"feature":[31,113],"matching:":[32],"1)":[33,169],"the":[34,38,41,95,110,127,155,161],"combinatorial":[35],"nature":[36],"limits":[37],"size":[39],"of":[40,71,75,97,112,163],"possible":[42],"matches;":[43,56],"2)":[44,173],"is":[46],"sensitive":[47],"outliers":[49,137],"because":[50],"objective":[52],"function":[53],"prefers":[54],"more":[55],"3)":[58,177],"works":[60],"poorly":[61],"when":[62],"handling":[63],"many-to-many":[64,139],"object":[65,140],"correspondences,":[66],"assumption":[70],"one":[72],"single":[73],"cluster":[74,118],"true":[76,128],"matches.":[77],"In":[78],"this":[79],"paper,":[80],"we":[81],"address":[82],"these":[83],"with":[85],"a":[86,98],"unified":[87],"framework":[88],"called":[89],"density":[90,101],"maximization":[91],"(DM),":[92],"which":[93],"maximizes":[94],"values":[96],"proposed":[99],"graph":[100,132],"estimator":[102],"locally":[104],"globally.":[106],"DM":[107],"leads":[108],"integration":[111],"matching,":[114],"outlier":[115],"elimination,":[116],"detection.":[119],"Experimental":[120],"evaluation":[121],"demonstrates":[122],"that":[123],"significantly":[125],"boosts":[126],"matches":[129],"enables":[131],"handle":[135],"correspondences.":[141],"We":[142,158],"also":[143],"extend":[144],"dense":[147],"correspondence":[148],"estimation":[149],"obtain":[151],"large":[152],"improvement":[153],"over":[154],"state-of-the-art":[156],"methods.":[157],"further":[159],"demonstrate":[160],"usefulness":[162],"our":[164],"methods":[165],"using":[166],"applications:":[168],"instance-level":[170],"retrieval;":[172],"mask":[174],"transfer;":[175],"enhancement.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}