{"id":"https://openalex.org/W3038711713","doi":"https://doi.org/10.1145/3364320","title":"Learning Distance Metrics from Probabilistic Information","display_name":"Learning Distance Metrics from Probabilistic Information","publication_year":2020,"publication_date":"2020-07-06","ids":{"openalex":"https://openalex.org/W3038711713","doi":"https://doi.org/10.1145/3364320","mag":"3038711713"},"language":"en","primary_location":{"id":"doi:10.1145/3364320","doi":"https://doi.org/10.1145/3364320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364320","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","jufo-3","norway-1","poland-100","russia-white-list-1"],"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 Knowledge Discovery from Data","raw_type":"journal-article"},"volume":null,"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/A5016035883","display_name":"Mengdi Huai","orcid":"https://orcid.org/0000-0001-6368-5973","observed_orcids":["https://orcid.org/0000-0001-6368-5973"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengdi Huai","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091132390","display_name":"Chenglin Miao","orcid":"https://orcid.org/0000-0002-9646-7099","observed_orcids":["https://orcid.org/0000-0002-9646-7099"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenglin Miao","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046576694","display_name":"Yaliang Li","orcid":"https://orcid.org/0000-0002-4204-6096","observed_orcids":["https://orcid.org/0000-0002-4204-6096"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaliang Li","raw_affiliation_strings":["Alibaba Group, Bellevue, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Bellevue, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033311476","display_name":"Qiuling Suo","orcid":"https://orcid.org/0000-0001-8072-6060","observed_orcids":["https://orcid.org/0000-0001-8072-6060"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiuling Suo","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732938","display_name":"L\u00fc Su","orcid":"https://orcid.org/0000-0001-7223-543X","observed_orcids":["https://orcid.org/0000-0001-7223-543X"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lu Su","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013588572","display_name":"Aidong Zhang","orcid":"https://orcid.org/0000-0001-9723-3246","observed_orcids":["https://orcid.org/0000-0001-9723-3246"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aidong Zhang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1261,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77461818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"14","issue":"5","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.3917999863624573,"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/T10057","display_name":"Face and Expression Recognition","score":0.3917999863624573,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.1225999966263771,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.04960000142455101,"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/metric-learning","display_name":"metric learning","score":0.9940000176429749},{"id":"https://openalex.org/keywords/probabilistic-information","display_name":"probabilistic information","score":0.6790000200271606},{"id":"https://openalex.org/keywords/label-uncertainty","display_name":"label uncertainty","score":0.4440000057220459}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8634313344955444},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8419145345687866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720176935195923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.632990300655365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6036543846130371},{"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":1,"locations":[{"id":"doi:10.1145/3364320","doi":"https://doi.org/10.1145/3364320","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364320","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-b","cwts-core","dongbi-a","jufo-3","norway-1","poland-100","russia-white-list-1"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7150224088","display_name":null,"funder_award_id":"1218393, 1514204, 1924928, 1938167, 1934600","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1490654344","https://openalex.org/W1965701254","https://openalex.org/W2106053110","https://openalex.org/W2122565017","https://openalex.org/W2135596962","https://openalex.org/W2152010828","https://openalex.org/W2157911873","https://openalex.org/W2164301055","https://openalex.org/W2212197243","https://openalex.org/W2386140083","https://openalex.org/W2542432701","https://openalex.org/W2585971786","https://openalex.org/W2602753196","https://openalex.org/W2741850692","https://openalex.org/W2747786576","https://openalex.org/W2771913841","https://openalex.org/W2772905286","https://openalex.org/W2801388832","https://openalex.org/W2808922551","https://openalex.org/W2809379039","https://openalex.org/W2809627483","https://openalex.org/W2886951144","https://openalex.org/W2901628803","https://openalex.org/W2907519982","https://openalex.org/W2908840458","https://openalex.org/W2943973369","https://openalex.org/W2966667571","https://openalex.org/W2989661724","https://openalex.org/W3012264151","https://openalex.org/W3017285694","https://openalex.org/W4236362309","https://openalex.org/W4250344912"],"related_works":["https://openalex.org/W2809627483","https://openalex.org/W2186874707","https://openalex.org/W3137025933","https://openalex.org/W4318977940","https://openalex.org/W1523884323","https://openalex.org/W7015840277","https://openalex.org/W3080164465","https://openalex.org/W1959567017","https://openalex.org/W7098731414","https://openalex.org/W7095721347"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,36,44,62,112,136,167],"metric":[3,11,37,95],"learning":[4,38,137],"is":[5,39],"to":[6,74,90,162],"learn":[7,92],"a":[8],"good":[9],"distance":[10,94,138],"that":[12,40,98],"can":[13],"capture":[14],"the":[15,33,41,45,54,70,93,116,121,127,142,152,164],"relationships":[16],"among":[17],"instances,":[18],"and":[19,102,120,155],"its":[20],"importance":[21],"has":[22],"long":[23],"been":[24],"recognized":[25],"in":[26,32,50,77,84],"many":[27,51],"fields.":[28],"An":[29],"implicit":[30],"assumption":[31],"traditional":[34],"settings":[35],"associated":[42,55],"labels":[43,56,144],"instances":[46],"are":[47,134],"deterministic.":[48],"However,":[49],"real-world":[52,160],"applications,":[53],"come":[57],"naturally":[58],"with":[59,126,145],"probabilities":[60],"instead":[61],"deterministic":[63],"values,":[64],"which":[65],"makes":[66],"it":[67],"difficult":[68],"for":[69,109],"existing":[71,128],"metric-learning":[72,107,129],"methods":[73],"work":[75],"well":[76],"these":[78,168],"applications.":[79],"To":[80],"address":[81],"this":[82,85],"challenge,":[83],"article,":[86],"we":[87],"study":[88],"how":[89],"effectively":[91],"from":[96,141],"datasets":[97,161],"contain":[99],"probabilistic":[100,113,118,123,143],"information,":[101],"then":[103],"propose":[104],"several":[105],"novel":[106],"mechanisms":[108,133,154],"two":[110],"types":[111],"labels,":[114],"i.e.,":[115],"instance-wise":[117],"label":[119],"group-wise":[122],"label.":[124],"Compared":[125],"methods,":[130],"our":[131],"proposed":[132,153],"capable":[135],"metrics":[139],"directly":[140],"high":[146],"accuracy.":[147],"We":[148],"also":[149],"theoretically":[150],"analyze":[151],"conduct":[156],"extensive":[157],"experiments":[158],"on":[159],"verify":[163],"desirable":[165],"properties":[166],"mechanisms.":[169]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-07-10T00:00:00"}
