{"id":"https://openalex.org/W1987299554","doi":"https://doi.org/10.1109/icip.2013.6738571","title":"Coupled latent least squares regression for heterogeneous face recognition","display_name":"Coupled latent least squares regression for heterogeneous face recognition","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W1987299554","doi":"https://doi.org/10.1109/icip.2013.6738571","mag":"1987299554"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-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":null,"display_name":"Cai Xinyuan","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Xinyuan","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Chunheng","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Chunheng","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Baihua","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Baihua","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chen Xue","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xue","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100511444","display_name":"Lv Zhijian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lv Zhijian","raw_affiliation_strings":["Beijing Institute of Science and Technology Information, Beijing, 100044, China","Beijing Inst. of Sci. & Technol. Inf., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Science and Technology Information, Beijing, 100044, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Inst. of Sci. & Technol. Inf., Beijing, China","institution_ids":["https://openalex.org/I4210162962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003997085","display_name":"Shi Yanqin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Yanqin","raw_affiliation_strings":["Beijing Institute of Science and Technology Information, Beijing, 100044, China","Beijing Inst. of Sci. & Technol. Inf., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Science and Technology Information, Beijing, 100044, China","institution_ids":[]},{"raw_affiliation_string":"Beijing Inst. of Sci. & Technol. Inf., Beijing, China","institution_ids":["https://openalex.org/I4210162962"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2763,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57906924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2772","last_page":"2776"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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":0.9944999814033508,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7167091369628906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6554083824157715},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.617257833480835},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5886104106903076},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5813652873039246},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5769274830818176},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.5166957378387451},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5151489973068237},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.47952011227607727},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4351697862148285},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42562273144721985},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42134255170822144},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34832945466041565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22769618034362793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19421061873435974},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16370469331741333},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11799019575119019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167091369628906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6554083824157715},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.617257833480835},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5886104106903076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5813652873039246},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5769274830818176},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.5166957378387451},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5151489973068237},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.47952011227607727},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4351697862148285},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42562273144721985},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42134255170822144},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34832945466041565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22769618034362793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19421061873435974},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16370469331741333},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11799019575119019},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W38226588","https://openalex.org/W1480376833","https://openalex.org/W1500607227","https://openalex.org/W1538281814","https://openalex.org/W1573965745","https://openalex.org/W1971359334","https://openalex.org/W2030899956","https://openalex.org/W2034136097","https://openalex.org/W2053186076","https://openalex.org/W2117553576","https://openalex.org/W2119990023","https://openalex.org/W2120749805","https://openalex.org/W2121647436","https://openalex.org/W2141345255","https://openalex.org/W2149481809","https://openalex.org/W2151103935","https://openalex.org/W2152322845","https://openalex.org/W2153288431","https://openalex.org/W2154211011","https://openalex.org/W2154671648","https://openalex.org/W2160948341","https://openalex.org/W2232201864","https://openalex.org/W4237310896","https://openalex.org/W6601507811","https://openalex.org/W6630059800","https://openalex.org/W6632171826","https://openalex.org/W6634153291","https://openalex.org/W6677832493","https://openalex.org/W6681227110","https://openalex.org/W6682850959","https://openalex.org/W6687101057"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964","https://openalex.org/W2167701463","https://openalex.org/W4307407935"],"abstract_inverted_index":{"One":[0],"of":[1,54,67,116,132],"the":[2,42,52,77,86,94,99,109,130,133],"most":[3],"difficult":[4],"challenges":[5],"in":[6,18,58,76,98],"automatic":[7],"face":[8,23,44,118],"recognition":[9,45,119],"is":[10,50,102],"computing":[11],"facial":[12],"similarity":[13],"between":[14],"two":[15,114],"images":[16,53],"captured":[17,57],"different":[19,59,90],"modalities,":[20],"called":[21],"heterogeneous":[22,43,117],"recognition.":[24],"In":[25,92],"this":[26,74],"paper,":[27],"we":[28],"propose":[29],"a":[30,68,105],"novel":[31],"method,":[32],"named":[33],"as":[34,64,83,104],"coupled":[35,87],"latent":[36,69],"least":[37,78],"squares":[38,79],"regression,":[39],"to":[40,84,107],"improve":[41,108],"performance.":[46],"The":[47],"basic":[48],"assumption":[49,75],"that":[51],"one":[55],"person":[56],"modalities":[60],"can":[61],"be":[62],"viewed":[63],"modality-specific":[65],"transforms":[66,88],"ideal":[70],"object.":[71],"We":[72],"formulate":[73],"regression":[80],"framework,":[81],"so":[82],"learn":[85],"for":[89],"modalities.":[91],"particular,":[93],"local":[95],"consistency":[96],"information":[97],"each":[100],"modality":[101],"considered":[103],"constraint":[106],"generalization.":[110],"Extensive":[111],"experiments":[112],"on":[113],"cases":[115],"(visible":[120],"light":[121],"vs.":[122,127],"near":[123],"infrared,":[124],"and":[125],"photo":[126],"sketch)":[128],"validate":[129],"efficiency":[131],"proposed":[134],"method.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}