{"id":"https://openalex.org/W2046712819","doi":"https://doi.org/10.1145/2671188.2749335","title":"Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval","display_name":"Unsupervised Distance Learning by Rank Correlation Measures for Image Retrieval","publication_year":2015,"publication_date":"2015-06-22","ids":{"openalex":"https://openalex.org/W2046712819","doi":"https://doi.org/10.1145/2671188.2749335","mag":"2046712819"},"language":"en","primary_location":{"id":"doi:10.1145/2671188.2749335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11449/168531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009308674","display_name":"C\u00e9sar Yugo Okada","orcid":null},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C\u00e9sar Yugo Okada","raw_affiliation_strings":["S\u00e3o Paulo State University, Rio Claro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S\u00e3o Paulo State University, Rio Claro, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078511671","display_name":"Daniel Carlos Guimar\u00e3es Pedronette","orcid":"https://orcid.org/0000-0002-2867-4838"},"institutions":[{"id":"https://openalex.org/I879563668","display_name":"Universidade Estadual Paulista (Unesp)","ror":"https://ror.org/00987cb86","country_code":"BR","type":"education","lineage":["https://openalex.org/I879563668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel Carlos Guimar\u00e3es Pedronette","raw_affiliation_strings":["S\u00e3o Paulo State University, Rio Claro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S\u00e3o Paulo State University, Rio Claro, Brazil","institution_ids":["https://openalex.org/I879563668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087058987","display_name":"Ricardo da Silva Torres","orcid":"https://orcid.org/0000-0001-9772-263X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo da S. Torres","raw_affiliation_strings":["University of Campinas, Campinas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Campinas, Campinas, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0594,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91302422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"331","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11550","display_name":"Text and Document Classification Technologies","score":0.9739000201225281,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8036999702453613},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7793797254562378},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7091920375823975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706717848777771},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6356037259101868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5752378106117249},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5371710658073425},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5318479537963867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4419627785682678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4410164952278137},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.43184950947761536},{"id":"https://openalex.org/keywords/rank-correlation","display_name":"Rank correlation","score":0.4265159070491791},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4206586480140686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36605268716812134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3498693108558655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22099635004997253}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8036999702453613},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7793797254562378},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7091920375823975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706717848777771},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6356037259101868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5752378106117249},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5371710658073425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5318479537963867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4419627785682678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4410164952278137},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.43184950947761536},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.4265159070491791},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4206586480140686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36605268716812134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498693108558655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22099635004997253},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2671188.2749335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2671188.2749335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio.unesp.br:11449/168531","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/168531","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"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/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:repositorio.unesp.br:11449/168531","is_oa":true,"landing_page_url":"http://hdl.handle.net/11449/168531","pdf_url":null,"source":{"id":"https://openalex.org/S4377196277","display_name":"UNESP Institutional Repository (S\u00e3o Paulo State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I879563668","host_organization_name":"Universidade Estadual Paulista (Unesp)","host_organization_lineage":["https://openalex.org/I879563668"],"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/conferencePaper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309938","display_name":"Centre of Excellence for Environmental Decisions, Australian Research Council","ror":"https://ror.org/01k8nkc73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W48298789","https://openalex.org/W72708899","https://openalex.org/W1552231868","https://openalex.org/W1589666435","https://openalex.org/W1597084354","https://openalex.org/W1687679254","https://openalex.org/W1854948231","https://openalex.org/W1917380066","https://openalex.org/W1981385563","https://openalex.org/W2009974611","https://openalex.org/W2021512179","https://openalex.org/W2021581601","https://openalex.org/W2027752285","https://openalex.org/W2030955019","https://openalex.org/W2031586513","https://openalex.org/W2039388884","https://openalex.org/W2050882854","https://openalex.org/W2057175746","https://openalex.org/W2057256380","https://openalex.org/W2067791040","https://openalex.org/W2086320398","https://openalex.org/W2093926511","https://openalex.org/W2106404777","https://openalex.org/W2124386111","https://openalex.org/W2126491576","https://openalex.org/W2128017662","https://openalex.org/W2130342593","https://openalex.org/W2134878079","https://openalex.org/W2150571057","https://openalex.org/W2154957805","https://openalex.org/W2163329495","https://openalex.org/W2163352848","https://openalex.org/W2163502583","https://openalex.org/W2165414070","https://openalex.org/W2170818070","https://openalex.org/W2177038588","https://openalex.org/W2914885528","https://openalex.org/W4293257135","https://openalex.org/W6684539355","https://openalex.org/W7062157157"],"related_works":["https://openalex.org/W2088097596","https://openalex.org/W2041335144","https://openalex.org/W2017593264","https://openalex.org/W159425995","https://openalex.org/W2027614354","https://openalex.org/W2297217129","https://openalex.org/W2059050506","https://openalex.org/W2247879423","https://openalex.org/W90388556","https://openalex.org/W2794341924"],"abstract_inverted_index":{"Ranking":[0],"accurately":[1],"collection":[2,51],"images":[3,19,52],"is":[4],"the":[5,16,22,27,40,50,58,74,78],"main":[6],"objective":[7,75],"of":[8,18,29,42,55,60,76,80,148],"Content-based":[9],"Image":[10],"Retrieval":[11],"(CBIR)":[12],"systems.":[13],"In":[14],"fact,":[15],"set":[17,47],"ranked":[20],"at":[21],"first":[23],"positions":[24],"generally":[25],"defines":[26],"effectiveness":[28,79,149],"provided":[30],"search":[31,43],"services,":[32],"i.e.,":[33],"they":[34],"are":[35,54,105,111],"used":[36,68],"for":[37,92,136],"assessing":[38],"automatically":[39],"quality":[41],"systems":[44],"as":[45],"this":[46],"usually":[48],"contains":[49],"that":[53,130],"interest.":[56],"Recently,":[57],"use":[59],"ranking":[61,131],"information":[62,132],"(e.g.,":[63],"rank":[64,89,102],"correlation)":[65],"has":[66],"been":[67],"in":[69,146],"different":[70],"research":[71],"initiatives":[72],"with":[73],"improving":[77],"image":[81,97,119],"retrieval":[82,98],"tasks.":[83,99],"This":[84],"paper":[85],"presents":[86],"a":[87],"broad":[88],"correlation":[90,103],"analysis":[91],"unsupervised":[93],"distance":[94,137],"learning":[95,138],"on":[96],"Various":[100],"well-known":[101],"measures":[104,110],"considered":[106],"and":[107,124],"two":[108],"new":[109],"proposed.":[112],"Several":[113],"experiments":[114],"were":[115],"conducted":[116],"considering":[117],"various":[118,151],"datasets":[120],"involving":[121],"shape,":[122],"color,":[123],"texture":[125],"descriptors.":[126],"Experimental":[127],"results":[128,145],"demonstrate":[129],"can":[133],"be":[134],"exploited":[135],"tasks":[139],"successfully.":[140],"Evaluated":[141],"approaches":[142],"yield":[143],"better":[144],"terms":[147],"than":[150],"state-of-the-art":[152],"algorithms.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
