{"id":"https://openalex.org/W2151483828","doi":"https://doi.org/10.1109/cvpr.2008.4587389","title":"Rank-based distance metric learning: An application to image retrieval","display_name":"Rank-based distance metric learning: An application to image retrieval","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2151483828","doi":"https://doi.org/10.1109/cvpr.2008.4587389","mag":"2151483828"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100456877","display_name":"Jungeun Lee","orcid":"https://orcid.org/0000-0002-3957-3469"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung-Eun Lee","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Jin","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613677","display_name":"Anil K. Jain","orcid":"https://orcid.org/0000-0002-6369-6995"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil K. Jain","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.905,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.94144637,"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":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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":0.9901000261306763,"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/T10057","display_name":"Face and Expression Recognition","score":0.9668999910354614,"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/metric","display_name":"Metric (unit)","score":0.7531324028968811},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565085649490356},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6494118571281433},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.5915820002555847},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5362393856048584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104798078536987},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5087009072303772},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4715949296951294},{"id":"https://openalex.org/keywords/distance-measures","display_name":"Distance measures","score":0.4633529484272003},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4349145293235779},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.42521989345550537},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.41082459688186646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3755394220352173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35967200994491577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2922685146331787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19186237454414368}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7531324028968811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565085649490356},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6494118571281433},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.5915820002555847},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5362393856048584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104798078536987},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5087009072303772},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4715949296951294},{"id":"https://openalex.org/C2639959","wikidata":"https://www.wikidata.org/wiki/Q1344778","display_name":"Distance measures","level":2,"score":0.4633529484272003},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4349145293235779},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.42521989345550537},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.41082459688186646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3755394220352173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35967200994491577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2922685146331787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19186237454414368},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.219.5745","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.219.5745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://biometrics.cse.msu.edu/Publications/SoftBiometrics/LeeRankDistMetricLearn2008.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.323.7993","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.7993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.washington.edu/research/VACE/VisionResearchGroup/cvpr08/049.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1513886033","https://openalex.org/W1523884323","https://openalex.org/W1564419782","https://openalex.org/W1606198627","https://openalex.org/W1663168359","https://openalex.org/W1733921475","https://openalex.org/W1823600381","https://openalex.org/W1964851734","https://openalex.org/W2039118116","https://openalex.org/W2091632079","https://openalex.org/W2094753663","https://openalex.org/W2102773363","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2109868644","https://openalex.org/W2117154949","https://openalex.org/W2118294761","https://openalex.org/W2118393783","https://openalex.org/W2130556178","https://openalex.org/W2134814621","https://openalex.org/W2137736727","https://openalex.org/W2138745909","https://openalex.org/W2139212933","https://openalex.org/W2144679084","https://openalex.org/W2144935315","https://openalex.org/W2159583439","https://openalex.org/W2160066518","https://openalex.org/W2478231958","https://openalex.org/W2912522929","https://openalex.org/W4248762352","https://openalex.org/W4285719527","https://openalex.org/W6636348609","https://openalex.org/W6637540137","https://openalex.org/W6638501681","https://openalex.org/W6675655370","https://openalex.org/W6675751002","https://openalex.org/W6677328822","https://openalex.org/W6677547472","https://openalex.org/W6677884823","https://openalex.org/W6680962578"],"related_works":["https://openalex.org/W4294328694","https://openalex.org/W1605858995","https://openalex.org/W2908357282","https://openalex.org/W2571943156","https://openalex.org/W2977833894","https://openalex.org/W4366087900","https://openalex.org/W4211248277","https://openalex.org/W4387741269","https://openalex.org/W4210963094","https://openalex.org/W4378223364"],"abstract_inverted_index":{"We":[0,131],"present":[1],"a":[2,16,114,120,158,166,170,173],"novel":[3],"approach":[4,95],"to":[5,136,153,165,183],"learn":[6],"distance":[7,13,34,51,60,91,188],"metric":[8,14,35,92,189],"for":[9,30,113,187],"information":[10,75],"retrieval.":[11],"Learning":[12],"from":[15,157],"number":[17],"of":[18,40,74,99,149],"queries":[19],"with":[20],"side":[21],"information,":[22],"i.e.,":[23],"relevance":[24],"judgements,":[25],"has":[26],"been":[27],"studied":[28],"widely,":[29],"example":[31],"pairwise":[32],"constraint-based":[33],"learning.":[36,93,190],"However,":[37],"the":[38,50,59,72,78,97,104,108,124,133,150,184],"capacity":[39],"existing":[41,100],"algorithms":[42,101],"is":[43,56,81,128,152],"limited,":[44],"because":[45],"they":[46],"usually":[47],"assume":[48],"that":[49,161],"between":[52,61],"two":[53,62],"similar":[54,164],"objects":[55,112],"smaller":[57],"than":[58],"dissimilar":[63],"objects.":[64],"This":[65],"assumption":[66],"may":[67],"not":[68],"hold,":[69],"especially":[70],"in":[71,140,181],"case":[73],"retrieval":[76,139],"when":[77],"input":[79],"space":[80],"heterogeneous.":[82],"To":[83,117],"address":[84],"this":[85],"problem":[86],"explicitly,":[87],"we":[88],"propose":[89],"rank-based":[90],"Our":[94],"overcomes":[96],"drawback":[98],"by":[102],"comparing":[103],"distances":[105],"only":[106],"among":[107],"relevant":[109],"and":[110,142],"irrelevant":[111],"given":[115],"query.":[116],"avoid":[118],"over-fitting,":[119],"regularizer":[121],"based":[122],"on":[123,169],"Burg":[125],"matrix":[126],"divergence":[127],"also":[129],"introduced.":[130],"apply":[132],"proposed":[134],"framework":[135],"tattoo":[137,155,167],"image":[138],"forensics":[141],"law":[143],"enforcement":[144],"application":[145,151],"domain.":[146],"The":[147,175],"goal":[148],"retrieve":[154],"images":[156],"gallery":[159],"database":[160],"are":[162],"visually":[163],"found":[168],"suspect":[171],"or":[172],"victim.":[174],"experimental":[176],"results":[177,180],"show":[178],"encouraging":[179],"comparison":[182],"standard":[185],"approaches":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
