{"id":"https://openalex.org/W2540300791","doi":"https://doi.org/10.1109/iccv.2009.5459312","title":"Matching as a non-cooperative game","display_name":"Matching as a non-cooperative game","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2540300791","doi":"https://doi.org/10.1109/iccv.2009.5459312","mag":"2540300791"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10278/26385","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030155299","display_name":"Andrea Albarelli","orcid":"https://orcid.org/0000-0002-3659-5099"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Albarelli","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073916921","display_name":"Samuel Rota Bul\u00f2","orcid":"https://orcid.org/0000-0002-2372-1367"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Samuel Rota Bulo","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004269930","display_name":"Andrea Torsello","orcid":"https://orcid.org/0000-0001-9189-4924"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Torsello","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088359990","display_name":"Marcello Pelillo","orcid":"https://orcid.org/0000-0001-8992-9243"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marcello Pelillo","raw_affiliation_strings":["Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Informatica, Universit\u00e0 Ca Foscari di Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030155299"],"corresponding_institution_ids":["https://openalex.org/I149461666"],"apc_list":null,"apc_paid":null,"fwci":7.2509,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.97369964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1319","last_page":"1326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.991599977016449,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6434605717658997},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6411937475204468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5764532685279846},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5547505617141724},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4886644184589386},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.45580601692199707},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.42292261123657227},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4018886089324951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39305418729782104},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3592185974121094},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34756264090538025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3064897656440735},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.30537599325180054}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6434605717658997},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6411937475204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5764532685279846},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5547505617141724},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4886644184589386},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.45580601692199707},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.42292261123657227},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4018886089324951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39305418729782104},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3592185974121094},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34756264090538025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3064897656440735},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.30537599325180054},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccv.2009.5459312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.5607","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.5607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.select.cs.cmu.edu/meetings/nips09perm/abstracts/torsello.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.308.6129","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.6129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dsi.unive.it/~pelillo/papers/ICCV 2009.pdf","raw_type":"text"},{"id":"pmh:oai:iris.unive.it:10278/26385","is_oa":true,"landing_page_url":"http://hdl.handle.net/10278/26385","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unive.it:10278/26385","is_oa":true,"landing_page_url":"http://hdl.handle.net/10278/26385","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3981126665","display_name":null,"funder_award_id":"Seventh Framework Programme","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7316332234","display_name":"Beyond Features: Similarity-Based Pattern Analysis and Recognition","funder_award_id":"213250","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1479994108","https://openalex.org/W1576445103","https://openalex.org/W1999478155","https://openalex.org/W2021925584","https://openalex.org/W2042498858","https://openalex.org/W2049981393","https://openalex.org/W2059608229","https://openalex.org/W2068379792","https://openalex.org/W2071140863","https://openalex.org/W2104808398","https://openalex.org/W2108182844","https://openalex.org/W2116801532","https://openalex.org/W2117708060","https://openalex.org/W2118782734","https://openalex.org/W2145862222","https://openalex.org/W2147975091","https://openalex.org/W2151103935","https://openalex.org/W2159537329","https://openalex.org/W2161444532","https://openalex.org/W2164117311","https://openalex.org/W2171707672","https://openalex.org/W2797585760","https://openalex.org/W3022265742","https://openalex.org/W3152232274","https://openalex.org/W4233756358","https://openalex.org/W6682431704"],"related_works":["https://openalex.org/W1994974439","https://openalex.org/W2025767136","https://openalex.org/W2408729172","https://openalex.org/W4315489088","https://openalex.org/W4299551322","https://openalex.org/W2013767790","https://openalex.org/W615573743","https://openalex.org/W2569414037","https://openalex.org/W4312141693","https://openalex.org/W1528395754"],"abstract_inverted_index":{"With":[0],"this":[1,52],"paper":[2],"we":[3,17,86],"offer":[4],"a":[5,23,66,74,89],"game-theoretic":[6],"perspective":[7],"for":[8],"the":[9,19,28,32,44,54,57,71,102,118,136,144],"all-pervasive":[10],"matching":[11,20,58,84,132,154],"problem":[12,21,59],"in":[13,135],"computer":[14],"vision.":[15],"Specifically,":[16],"formulate":[18],"as":[22],"(population)":[24],"non-cooperative":[25],"game":[26,93],"where":[27],"potential":[29,142],"associations":[30],"between":[31,48],"items":[33],"to":[34,38,61,79,126],"be":[35],"matched":[36],"correspond":[37,60],"(pure)":[39],"strategies,":[40],"while":[41],"payoffs":[42],"reflect":[43],"degree":[45],"of":[46,56,70,73,82,117,138,143,152,157],"compatibility":[47],"competing":[49],"hypotheses.":[50],"Within":[51],"formulation,":[53],"solutions":[55],"evolutionary":[62,92],"stable":[63],"states":[64],"(ESS's),":[65],"robust":[67],"population-based":[68],"generalization":[69],"notion":[72],"Nash":[75],"equilibrium.":[76],"In":[77],"order":[78],"find":[80],"ESS's":[81],"our":[83,161],"game,":[85],"propose":[87],"using":[88,166],"novel,":[90],"fast":[91],"dynamics":[94],"motivated":[95],"by":[96],"Darwinian":[97],"selection":[98],"processes,":[99],"which":[100,158],"let":[101],"pure":[103],"strategies":[104],"play":[105],"against":[106],"each":[107],"other":[108],"until":[109],"an":[110],"equilibrium":[111],"is":[112,121,147],"reached.":[113],"A":[114],"distinguishing":[115],"feature":[116],"proposed":[119,145],"framework":[120],"that":[122,160],"it":[123],"allows":[124],"one":[125],"naturally":[127],"deal":[128],"with":[129],"general":[130],"many-to-many":[131],"problems":[133],"even":[134],"presence":[137],"asymmetric":[139],"compatibilities.":[140],"The":[141],"approach":[146],"demonstrated":[148],"via":[149],"two":[150],"sets":[151],"image":[153],"experiments,":[155],"both":[156],"show":[159],"results":[162],"outperform":[163],"those":[164],"obtained":[165],"well-known":[167],"domain-specific":[168],"algorithms.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
