{"id":"https://openalex.org/W1984608801","doi":"https://doi.org/10.1145/2168752.2168768","title":"Transfer Metric Learning with Semi-Supervised Extension","display_name":"Transfer Metric Learning with Semi-Supervised Extension","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1984608801","doi":"https://doi.org/10.1145/2168752.2168768","mag":"1984608801"},"language":"en","primary_location":{"id":"doi:10.1145/2168752.2168768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168752.2168768","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","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/A5100433691","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-1100-4835"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073139380","display_name":"Dit\u2010Yan Yeung","orcid":"https://orcid.org/0000-0003-3716-8125"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dit-Yan Yeung","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100433691"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":3.8532,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93250833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T12676","display_name":"Machine Learning and ELM","score":0.994700014591217,"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/T10057","display_name":"Face and Expression Recognition","score":0.9929999709129333,"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/computer-science","display_name":"Computer science","score":0.7814003229141235},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.7286427021026611},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6897388696670532},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6888203620910645},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6660794615745544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6405710577964783},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.6279910802841187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5877360701560974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5080082416534424},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4443191885948181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14420002698898315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7814003229141235},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.7286427021026611},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6897388696670532},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6888203620910645},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6660794615745544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6405710577964783},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.6279910802841187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5877360701560974},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5080082416534424},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4443191885948181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14420002698898315},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":2,"locations":[{"id":"doi:10.1145/2168752.2168768","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168752.2168768","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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 Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-55125","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-55125","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5429060480","display_name":null,"funder_award_id":"622209","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W304676660","https://openalex.org/W1479807131","https://openalex.org/W1556758798","https://openalex.org/W1578099820","https://openalex.org/W1959567017","https://openalex.org/W1977193486","https://openalex.org/W1988344179","https://openalex.org/W2004011892","https://openalex.org/W2011873184","https://openalex.org/W2014987111","https://openalex.org/W2030027397","https://openalex.org/W2039284087","https://openalex.org/W2049633694","https://openalex.org/W2065180801","https://openalex.org/W2091632079","https://openalex.org/W2093279820","https://openalex.org/W2104290444","https://openalex.org/W2105235982","https://openalex.org/W2106053110","https://openalex.org/W2107298017","https://openalex.org/W2108588392","https://openalex.org/W2116647992","https://openalex.org/W2116731705","https://openalex.org/W2117154949","https://openalex.org/W2119464071","https://openalex.org/W2120060023","https://openalex.org/W2130556178","https://openalex.org/W2133013156","https://openalex.org/W2134982367","https://openalex.org/W2137742200","https://openalex.org/W2143104527","https://openalex.org/W2144859853","https://openalex.org/W2152322845","https://openalex.org/W2152339685","https://openalex.org/W2164031334","https://openalex.org/W2165698076","https://openalex.org/W2169495281","https://openalex.org/W2296319761","https://openalex.org/W2595233870","https://openalex.org/W2798766386","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W2964121793","https://openalex.org/W2997701990","https://openalex.org/W3035219538","https://openalex.org/W3148198191","https://openalex.org/W4231421859","https://openalex.org/W4250589301"],"related_works":["https://openalex.org/W2821676139","https://openalex.org/W4382138864","https://openalex.org/W3043695725","https://openalex.org/W4387770285","https://openalex.org/W3022215768","https://openalex.org/W2584335068","https://openalex.org/W3135975972","https://openalex.org/W2150890437","https://openalex.org/W3016888008","https://openalex.org/W4387183713"],"abstract_inverted_index":{"Distance":[0],"metric":[1,79,112,123,131],"learning":[2,66,80,98,105,113,124],"plays":[3],"a":[4,23,49,74,90,100,145,186],"very":[5],"crucial":[6],"role":[7],"in":[8,31,52,86,160,169,178],"many":[9,32,170],"data":[10,29,60,174,203],"mining":[11],"algorithms":[12],"because":[13],"the":[14,27,38,65,68,83,87,108,115,130,133,137,141,151,179,196,201,206,218],"performance":[15,198],"of":[16,67,89,103,110,189,220],"an":[17,157,165],"algorithm":[18],"relies":[19],"heavily":[20],"on":[21,205,211],"choosing":[22],"good":[24],"metric.":[25],"However,":[26],"labeled":[28,59],"available":[30,62,177],"applications":[33,216],"is":[34,175],"scarce,":[35],"and":[36,106,132,140,182],"hence":[37],"metrics":[39],"learned":[40],"are":[41,61],"often":[42],"unsatisfactory.":[43],"In":[44,126],"this":[45],"article,":[46],"we":[47,95,128,155,184],"consider":[48],"transfer-learning":[50,116,215],"setting":[51,117],"which":[53,161],"some":[54,172,212],"related":[55],"source":[56,138],"tasks":[57,139],"with":[58],"to":[63,114,193],"help":[64],"target":[69,142,180],"task.":[70],"We":[71],"first":[72],"propose":[73,185],"convex":[75,147,152],"formulation":[76,109],"for":[77,118],"multitask":[78,104,111],"by":[81,199],"modeling":[82],"task":[84,91,134,143],"relationships":[85],"form":[88],"covariance":[92],"matrix.":[93],"Then":[94],"regard":[96],"transfer":[97,122],"as":[99],"special":[101],"case":[102],"adapt":[107],"our":[119,221],"method,":[120],"called":[121,191],"(TML).":[125],"TML,":[127],"learn":[129],"covariances":[135],"between":[136],"under":[144],"unified":[146],"formulation.":[148],"To":[149],"solve":[150],"optimization":[153],"problem,":[154],"use":[156],"alternating":[158],"method":[159],"each":[162],"subproblem":[163],"has":[164],"efficient":[166],"solution.":[167],"Moreover,":[168],"applications,":[171],"unlabeled":[173,202],"also":[176],"task,":[181],"so":[183],"semi-supervised":[187],"extension":[188],"TML":[190],"STML":[192],"further":[194],"improve":[195],"generalization":[197],"exploiting":[200],"based":[204],"manifold":[207],"assumption.":[208],"Experimental":[209],"results":[210],"commonly":[213],"used":[214],"demonstrate":[217],"effectiveness":[219],"method.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}