{"id":"https://openalex.org/W1977193486","doi":"https://doi.org/10.1145/1823746.1823752","title":"Semi-supervised distance metric learning for collaborative image retrieval and clustering","display_name":"Semi-supervised distance metric learning for collaborative image retrieval and clustering","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1977193486","doi":"https://doi.org/10.1145/1823746.1823752","mag":"1977193486"},"language":"en","primary_location":{"id":"doi:10.1145/1823746.1823752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1823746.1823752","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5074834854","display_name":"Steven C. H. Hoi","orcid":"https://orcid.org/0000-0002-4584-3453"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Steven C.h. Hoi","raw_affiliation_strings":["Nanyang Technological University, Singapore","Nanyang Technological University (Singapore)"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University (Singapore)","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074834854"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":10.344,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.98617219,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"6","issue":"3","first_page":"1","last_page":"26"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980000257492065,"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":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.7576751708984375},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7209246158599854},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6977903246879578},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6514143943786621},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5557738542556763},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5374935269355774},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5268738865852356},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4925575852394104},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.44964396953582764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4470154047012329},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44610798358917236},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.43520355224609375},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3819257616996765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37559622526168823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3215733766555786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7576751708984375},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7209246158599854},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6977903246879578},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6514143943786621},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5557738542556763},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5374935269355774},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5268738865852356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4925575852394104},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.44964396953582764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4470154047012329},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44610798358917236},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.43520355224609375},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3819257616996765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37559622526168823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3215733766555786},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1823746.1823752","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1823746.1823752","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-3307","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/2307","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/1823746.1823752","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321026","display_name":"Ministry of Earth Sciences","ror":"https://ror.org/013cf5k59"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1480487340","https://openalex.org/W1522930108","https://openalex.org/W1538021842","https://openalex.org/W1654865708","https://openalex.org/W1733921475","https://openalex.org/W1770825568","https://openalex.org/W1852582905","https://openalex.org/W1964851734","https://openalex.org/W1966918398","https://openalex.org/W1967073510","https://openalex.org/W1978394996","https://openalex.org/W1981025032","https://openalex.org/W1992419399","https://openalex.org/W2001141328","https://openalex.org/W2008089766","https://openalex.org/W2053186076","https://openalex.org/W2065024433","https://openalex.org/W2065856250","https://openalex.org/W2075515499","https://openalex.org/W2088548213","https://openalex.org/W2101498401","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2108588392","https://openalex.org/W2117154949","https://openalex.org/W2124216369","https://openalex.org/W2127921742","https://openalex.org/W2130556178","https://openalex.org/W2130660124","https://openalex.org/W2133296809","https://openalex.org/W2135346934","https://openalex.org/W2137736727","https://openalex.org/W2138079527","https://openalex.org/W2144935315","https://openalex.org/W2147069236","https://openalex.org/W2148603752","https://openalex.org/W2149332881","https://openalex.org/W2151483828","https://openalex.org/W2152010828","https://openalex.org/W2152073437","https://openalex.org/W2152645449","https://openalex.org/W2162657934","https://openalex.org/W2168955003","https://openalex.org/W2296319761","https://openalex.org/W2493235117","https://openalex.org/W2963673689","https://openalex.org/W2999575747","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2376453013","https://openalex.org/W1794064547","https://openalex.org/W1491915929","https://openalex.org/W2844723172","https://openalex.org/W2149478418","https://openalex.org/W2543381692","https://openalex.org/W2112167252","https://openalex.org/W2120663665","https://openalex.org/W2285154760","https://openalex.org/W2013076598"],"abstract_inverted_index":{"Learning":[0,74],"a":[1,6,19,67,89,110,117,210],"good":[2],"distance":[3,31,46,78],"metric":[4,32,47],"plays":[5],"vital":[7],"role":[8],"in":[9],"many":[10],"multimedia":[11],"retrieval":[12,23,167],"and":[13,92,101,114,222],"data":[14,87,95,98,163,188],"mining":[15],"tasks.":[16,198],"For":[17],"example,":[18],"typical":[20],"content-based":[21],"image":[22,195],"(CBIR)":[24],"system":[25,91],"often":[26,48],"relies":[27],"on":[28],"an":[29],"effective":[30,77],"to":[33,50,56,133,144,158,183,203],"measure":[34],"similarity":[35],"between":[36],"any":[37],"two":[38,145],"images.":[39],"Conventional":[40],"CBIR":[41,90,161,170,186],"systems":[42],"simply":[43],"adopting":[44],"Euclidean":[45],"fail":[49],"return":[51],"satisfactory":[52],"results":[53,230],"mainly":[54],"due":[55],"the":[57,82,106,135,141,160,166,185,191,205,232,235],"well-known":[58],"semantic":[59],"gap":[60],"challenge.":[61],"In":[62],"this":[63],"article,":[64],"we":[65,139],"present":[66,116],"novel":[68],"framework":[69],"of":[70,88,169,194,212,234],"Semi-Supervised":[71],"Distance":[72],"Metric":[73,124],"for":[75,151,164,176,189],"learning":[76,107],"metrics":[79,225],"by":[80],"exploring":[81],"historical":[83],"relevance":[84],"feedback":[85],"log":[86,97,162,187],"utilizing":[93],"unlabeled":[94],"when":[96],"are":[99,130],"limited":[100],"noisy.":[102],"We":[103,199],"formally":[104],"formulate":[105],"problem":[108],"into":[109],"convex":[111],"optimization":[112],"task":[113],"then":[115,131],"new":[118],"technique,":[119],"named":[120],"as":[121],"\u201cLaplacian":[122],"Regularized":[123],"Learning\u201d":[125],"(LRML).":[126],"Two":[127],"efficient":[128],"algorithms":[129],"proposed":[132,142,206,236],"solve":[134],"LRML":[136,207],"task.":[137],"Further,":[138],"apply":[140],"technique":[143],"applications.":[146],"One":[147],"direct":[148],"application":[149,174],"is":[150,175],"Collaborative":[152,177],"Image":[153,178],"Retrieval":[154],"(CIR),":[155],"which":[156,181],"aims":[157,182],"explore":[159,184],"improving":[165],"performance":[168,193],"systems.":[171],"The":[172],"other":[173],"Clustering":[179],"(CIC),":[180],"enhancing":[190],"clustering":[192,197],"pattern":[196],"conduct":[200],"extensive":[201],"evaluation":[202],"compare":[204],"method":[208],"with":[209,226],"number":[211],"competing":[213],"methods,":[214],"including":[215],"2":[216],"standard":[217],"metrics,":[218,221],"3":[219],"unsupervised":[220],"4":[223],"supervised":[224],"side":[227],"information.":[228],"Encouraging":[229],"validate":[231],"effectiveness":[233],"technique.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
