{"id":"https://openalex.org/W3016607506","doi":"https://doi.org/10.1109/tcyb.2020.2979262","title":"Semisupervised Consistent Projection Metric Learning for Person Reidentification","display_name":"Semisupervised Consistent Projection Metric Learning for Person Reidentification","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3016607506","doi":"https://doi.org/10.1109/tcyb.2020.2979262","mag":"3016607506","pmid":"https://pubmed.ncbi.nlm.nih.gov/32310811"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2979262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2979262","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/95745","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070913913","display_name":"Bangyong Sun","orcid":"https://orcid.org/0000-0002-0265-1785"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bangyong Sun","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","School of Printing, Packaging and Digital Media, Xi’an University of Technology, Xi’an, China","an University of Technology, Xi&#x2019","Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","School of Printing, Packaging and Digital Media, Xi&#x2019","an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019","an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Printing, Packaging and Digital Media, Xi’an University of Technology, Xi’an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"an University of Technology, Xi&#x2019","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"School of Printing, Packaging and Digital Media, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019","institution_ids":["https://openalex.org/I4210144662"]},{"raw_affiliation_string":"an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006882196","display_name":"Yutao Ren","orcid":"https://orcid.org/0000-0002-0840-3918"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Ren","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","School of Science, Wuhan University of Technology, Wuhan, China","Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","an, China","an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Science, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019","institution_ids":["https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018824735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0002-7037-5188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","an, China","Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"an, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Spectral Imaging Technology CAS, Xi&#x2019","institution_ids":[]},{"raw_affiliation_string":"an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi&#x2019","institution_ids":["https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070913913"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210131919","https://openalex.org/I4210144662"],"apc_list":null,"apc_paid":null,"fwci":1.1777,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81011672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"52","issue":"2","first_page":"738","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9988999962806702,"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/T11448","display_name":"Face recognition and analysis","score":0.9896000027656555,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9650999903678894,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7704147100448608},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6886448860168457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6053502559661865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4433711767196655},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4309755563735962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4243015646934509},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3764346241950989},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3498695492744446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33513301610946655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3287205100059509},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1109890341758728},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09840691089630127},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.0771649181842804}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7704147100448608},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6886448860168457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6053502559661865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4433711767196655},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4309755563735962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4243015646934509},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3764346241950989},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3498695492744446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33513301610946655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3287205100059509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1109890341758728},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09840691089630127},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0771649181842804}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2020.2979262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2979262","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:32310811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32310811","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:ir.opt.ac.cn:181661/95745","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/95745","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/95745","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/95745","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"\u671f\u520a\u8bba\u6587"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2926447122","display_name":null,"funder_award_id":"QYZDB-SSW-JSC015","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4089340996","display_name":null,"funder_award_id":"61925112","funder_id":"https://openalex.org/F4320334953","funder_display_name":"China National Funds for Distinguished Young Scientists"},{"id":"https://openalex.org/G5697410714","display_name":null,"funder_award_id":"XAB2017B15","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G6349446410","display_name":null,"funder_award_id":"XAB2017B26","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G7869768529","display_name":null,"funder_award_id":"61772510","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320334953","display_name":"China National Funds for Distinguished Young Scientists","ror":"https://ror.org/01pab2602"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W46454230","https://openalex.org/W1544176085","https://openalex.org/W1602182271","https://openalex.org/W1911311607","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2022469758","https://openalex.org/W2068042582","https://openalex.org/W2070536799","https://openalex.org/W2089074647","https://openalex.org/W2098807270","https://openalex.org/W2106053110","https://openalex.org/W2117060632","https://openalex.org/W2125447566","https://openalex.org/W2139763424","https://openalex.org/W2169495281","https://openalex.org/W2220271458","https://openalex.org/W2289130514","https://openalex.org/W2291533986","https://openalex.org/W2295594159","https://openalex.org/W2300840837","https://openalex.org/W2342611082","https://openalex.org/W2467139031","https://openalex.org/W2471048925","https://openalex.org/W2472876510","https://openalex.org/W2474013209","https://openalex.org/W2519373641","https://openalex.org/W2567804583","https://openalex.org/W2585635281","https://openalex.org/W2589059234","https://openalex.org/W2597704789","https://openalex.org/W2605439166","https://openalex.org/W2606165952","https://openalex.org/W2612135493","https://openalex.org/W2731821979","https://openalex.org/W2736410039","https://openalex.org/W2757028014","https://openalex.org/W2766865858","https://openalex.org/W2769613401","https://openalex.org/W2790194629","https://openalex.org/W2804743778","https://openalex.org/W2962694323","https://openalex.org/W2963721283","https://openalex.org/W2963736028","https://openalex.org/W2963910742","https://openalex.org/W2964140013","https://openalex.org/W2972332787","https://openalex.org/W3098140381","https://openalex.org/W3101708136","https://openalex.org/W6601733005","https://openalex.org/W6675751002","https://openalex.org/W6677587182"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2351452215","https://openalex.org/W2617963432","https://openalex.org/W4224009465","https://openalex.org/W2959160600","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W3202199134","https://openalex.org/W1574341164","https://openalex.org/W4205958290"],"abstract_inverted_index":{"Person":[0],"reidentification":[1],"is":[2,41,54,64,84,119,155],"a":[3,18,27,65,94,116],"hot":[4],"topic":[5],"in":[6,74,99],"the":[7,34,38,44,49,69,75,88,101,108,111,127,142,147,152,165,168,181,185,189,194],"computer":[8],"vision":[9],"field.":[10],"Many":[11],"efforts":[12],"have":[13],"been":[14],"paid":[15],"on":[16,177,193],"modeling":[17],"discriminative":[19],"distance":[20],"metric.":[21],"However,":[22],"existing":[23],"metric-learning-based":[24],"methods":[25],"are":[26,104,138,175],"lack":[28],"of":[29,37,110,131,146,167],"generalization.":[30],"In":[31],"this":[32,159],"article,":[33],"poor":[35],"generalization":[36],"metric":[39,76,97,153],"model":[40],"argued":[42],"as":[43],"biased":[45,89],"estimation":[46,90,160],"problem":[47,91],"that":[48,62,184],"independent":[50],"identical":[51],"distribution":[52,109,144],"hypothesis":[53],"not":[55],"valid.":[56],"The":[57,134],"verification":[58],"experimental":[59],"result":[60],"shows":[61],"there":[63],"sharp":[66],"difference":[67],"between":[68],"training":[70,113,170],"and":[71,180],"test":[72,132,149],"samples":[73],"subspace.":[77],"A":[78],"semisupervised":[79,117],"consistent":[80,95],"projection":[81],"metric-learning":[82],"method":[83,118,187],"proposed":[85,120,186],"to":[86,106,121,140,161,164],"ease":[87],"by":[92,157],"learning":[93],"constrained":[96],"subspace":[98,154],"which":[100],"identified":[102],"pairs":[103,125,137],"forced":[105],"follow":[107],"positive":[112,148,169],"pairs.":[114,150,171],"First,":[115],"generate":[122],"potential":[123,135],"matching":[124,136],"from":[126],"k":[128],"-nearest":[129],"neighbors":[130],"samples.":[133],"used":[139],"estimate":[141],"distances'":[143],"center":[145,166],"Second,":[151],"improved":[156],"forcing":[158],"be":[162],"close":[163],"Finally,":[172],"extensive":[173],"experiments":[174],"conducted":[176],"five":[178],"datasets":[179],"results":[182],"demonstrate":[183],"reaches":[188],"best":[190],"performance,":[191],"especially":[192],"rank-1":[195],"identification":[196],"rate.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}