{"id":"https://openalex.org/W2141932755","doi":"https://doi.org/10.1145/2168752.2168769","title":"Metric Learning for Estimating Psychological Similarities","display_name":"Metric Learning for Estimating Psychological Similarities","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2141932755","doi":"https://doi.org/10.1145/2168752.2168769","mag":"2141932755"},"language":"en","primary_location":{"id":"doi:10.1145/2168752.2168769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168752.2168769","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/A5008534153","display_name":"Junming Xu","orcid":"https://orcid.org/0000-0002-9687-5551"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jun-Ming Xu","raw_affiliation_strings":["University of Wisconsin-Madison","University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103428074","display_name":"Xiaojin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaojin Zhu","raw_affiliation_strings":["University of Wisconsin-Madison","University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020840610","display_name":"Timothy T. Rogers","orcid":"https://orcid.org/0000-0001-6304-755X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy T. Rogers","raw_affiliation_strings":["University of Wisconsin-Madison","University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008534153"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.2776,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61153923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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":0.9968000054359436,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9394999742507935,"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":0.7505520582199097},{"id":"https://openalex.org/keywords/multidimensional-scaling","display_name":"Multidimensional scaling","score":0.7461933493614197},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7396957278251648},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.65951007604599},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6585114598274231},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6038544774055481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5723071098327637},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5549870729446411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5387471914291382},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.511622965335846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45770713686943054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4333394765853882},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2064940333366394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7505520582199097},{"id":"https://openalex.org/C91682802","wikidata":"https://www.wikidata.org/wiki/Q620538","display_name":"Multidimensional scaling","level":2,"score":0.7461933493614197},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7396957278251648},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.65951007604599},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6585114598274231},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6038544774055481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5723071098327637},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5549870729446411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5387471914291382},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.511622965335846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45770713686943054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4333394765853882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2064940333366394},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2168752.2168769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2168752.2168769","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:CiteSeerX.psu:10.1.1.227.7501","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.7501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pages.cs.wisc.edu/%7Ejerryzhu/pub/yada.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5284046720","display_name":null,"funder_award_id":"IIS-0916038IIS-0953219","funder_id":"https://openalex.org/F4320337389","funder_display_name":"Division of Information and Intelligent Systems"},{"id":"https://openalex.org/G5929880926","display_name":null,"funder_award_id":"FA9550-09-1-0313","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320337389","display_name":"Division of Information and Intelligent Systems","ror":"https://ror.org/053a2cp42"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W622822632","https://openalex.org/W1509525679","https://openalex.org/W1540155273","https://openalex.org/W1540596182","https://openalex.org/W1588635063","https://openalex.org/W1596398496","https://openalex.org/W1830239953","https://openalex.org/W2001141328","https://openalex.org/W2017588182","https://openalex.org/W2045314411","https://openalex.org/W2053416992","https://openalex.org/W2067752346","https://openalex.org/W2084809122","https://openalex.org/W2096100960","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2112935422","https://openalex.org/W2113484479","https://openalex.org/W2117154949","https://openalex.org/W2118393783","https://openalex.org/W2120481923","https://openalex.org/W2134145060","https://openalex.org/W2144935315","https://openalex.org/W2152010828","https://openalex.org/W2167139429","https://openalex.org/W2169495281","https://openalex.org/W2172837168","https://openalex.org/W2560674852","https://openalex.org/W2604738573","https://openalex.org/W2951342632","https://openalex.org/W2999575747","https://openalex.org/W3046579346","https://openalex.org/W4231061463","https://openalex.org/W4285719527","https://openalex.org/W6632267817","https://openalex.org/W6680962578"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4200285273","https://openalex.org/W2374778813","https://openalex.org/W1582127415","https://openalex.org/W2334798979","https://openalex.org/W1900592362","https://openalex.org/W2410727088","https://openalex.org/W2324217881","https://openalex.org/W2029844969","https://openalex.org/W4233692833"],"abstract_inverted_index":{"An":[0],"important":[1],"problem":[2,20],"in":[3,63,79,123],"cognitive":[4],"psychology":[5],"is":[6],"to":[7,17,89,104],"quantify":[8],"the":[9,34,65,70,81,106],"perceived":[10,91],"similarities":[11],"between":[12,59,83],"stimuli.":[13],"Previous":[14],"work":[15],"attempted":[16],"address":[18],"this":[19],"with":[21],"multidimensional":[22],"scaling":[23],"(MDS)":[24],"and":[25,55,75,99,119,127],"its":[26],"variants.":[27],"However,":[28],"there":[29],"are":[30,67],"several":[31,116],"shortcomings":[32],"of":[33,86,108,125],"MDS":[35],"approaches.":[36],"We":[37,93],"propose":[38],"Yada,":[39],"a":[40,76,84],"novel":[41],"general":[42],"metric-learning":[43,120],"procedure":[44],"based":[45],"on":[46,96],"two-alternative":[47],"forced-choice":[48],"behavioral":[49,102],"experiments.":[50],"Our":[51],"method":[52],"learns":[53],"forward":[54],"backward":[56],"nonlinear":[57],"mappings":[58],"an":[60],"objective":[61],"space":[62,78],"which":[64,80],"stimuli":[66,87],"defined":[68],"by":[69],"standard":[71,117],"feature":[72],"vector":[73],"representation":[74],"subjective":[77],"distance":[82],"pair":[85],"corresponds":[88],"their":[90],"similarity.":[92],"conduct":[94],"experiments":[95],"both":[97,122],"synthetic":[98],"real":[100],"human":[101],"datasets":[103],"assess":[105],"effectiveness":[107],"Yada.":[109],"The":[110],"results":[111],"show":[112],"that":[113],"Yada":[114],"outperforms":[115],"embedding":[118],"algorithms,":[121],"terms":[124],"likelihood":[126],"recovery":[128],"error.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}