{"id":"https://openalex.org/W2974990566","doi":"https://doi.org/10.1109/access.2019.2944211","title":"Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition","display_name":"Low-Rank Constrained Latent Domain Adaptation Co-Regression for Robust Depression Recognition","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2974990566","doi":"https://doi.org/10.1109/access.2019.2944211","mag":"2974990566"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2944211","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944211","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851226.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028623549","display_name":"Jianwen Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143969","display_name":"Ningbo Polytechnic","ror":"https://ror.org/04c154n61","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390","https://openalex.org/I4210143969"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianwen Tao","raw_affiliation_strings":["School of Electronics and Information Engineering, Ningbo Polytechnic, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0001-7207-5894","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Ningbo Polytechnic, Ningbo, China","institution_ids":["https://openalex.org/I4210143969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011080373","display_name":"Haote Xu","orcid":"https://orcid.org/0000-0002-4601-3152"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haote Xu","raw_affiliation_strings":["School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041595358","display_name":"Jianjing Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141176","display_name":"Communication University of Zhejiang","ror":"https://ror.org/04t7gxr16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjing Fu","raw_affiliation_strings":["College of New Media, Communication University of Zhejiang, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of New Media, Communication University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I4210141176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028623549"],"corresponding_institution_ids":["https://openalex.org/I4210143969"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2033,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61746784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"145406","last_page":"145425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9901000261306763,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9846000075340271,"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":0.9617000222206116,"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/discriminative-model","display_name":"Discriminative model","score":0.8322345018386841},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6993566751480103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6893340349197388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660681962966919},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5211341977119446},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5203975439071655},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4457627832889557},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4387666583061218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3657502233982086}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8322345018386841},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6993566751480103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6893340349197388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660681962966919},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5211341977119446},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5203975439071655},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4457627832889557},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4387666583061218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3657502233982086},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2944211","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944211","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8276813ed25143ef8c7e57e88f4276eb","is_oa":true,"landing_page_url":"https://doaj.org/article/8276813ed25143ef8c7e57e88f4276eb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 145406-145425 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2944211","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944211","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08851226.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1739399600","display_name":null,"funder_award_id":"LY19F020012","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G827801133","display_name":null,"funder_award_id":"LY18F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8407574043","display_name":null,"funder_award_id":"2018A610056","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2974990566.pdf","grobid_xml":"https://content.openalex.org/works/W2974990566.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W1587447546","https://openalex.org/W1686810756","https://openalex.org/W1722318740","https://openalex.org/W1934241014","https://openalex.org/W1971695614","https://openalex.org/W1971816655","https://openalex.org/W1976066595","https://openalex.org/W1982696459","https://openalex.org/W1988088279","https://openalex.org/W1991060033","https://openalex.org/W1999042468","https://openalex.org/W2005347517","https://openalex.org/W2019337445","https://openalex.org/W2023687307","https://openalex.org/W2027192823","https://openalex.org/W2046385669","https://openalex.org/W2049485546","https://openalex.org/W2055600015","https://openalex.org/W2056403322","https://openalex.org/W2056935845","https://openalex.org/W2057266281","https://openalex.org/W2090923791","https://openalex.org/W2097117768","https://openalex.org/W2100664256","https://openalex.org/W2102505790","https://openalex.org/W2110176078","https://openalex.org/W2113590298","https://openalex.org/W2115403315","https://openalex.org/W2120149881","https://openalex.org/W2121010533","https://openalex.org/W2124449901","https://openalex.org/W2128053425","https://openalex.org/W2129579709","https://openalex.org/W2131828344","https://openalex.org/W2141581971","https://openalex.org/W2149466042","https://openalex.org/W2154683974","https://openalex.org/W2159570078","https://openalex.org/W2162574641","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2326887180","https://openalex.org/W2570412145","https://openalex.org/W2573268259","https://openalex.org/W2593853439","https://openalex.org/W2736814566","https://openalex.org/W2760537051","https://openalex.org/W2793374993","https://openalex.org/W2800833042","https://openalex.org/W2811444512","https://openalex.org/W2888232134","https://openalex.org/W2897536120","https://openalex.org/W2898177880","https://openalex.org/W2963756240","https://openalex.org/W3023646171","https://openalex.org/W6601848957","https://openalex.org/W6637373629","https://openalex.org/W6676531042","https://openalex.org/W6681637710","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1487808658","https://openalex.org/W3119773509","https://openalex.org/W2905271011","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W156213964","https://openalex.org/W2050960118","https://openalex.org/W4388405611","https://openalex.org/W3164948662"],"abstract_inverted_index":{"Focusing":[0],"on":[1,65,124,161,205],"the":[2,7,47,71,107,111,120,139,148,167,170,187,190,210],"facial-based":[3],"depression":[4,52,207],"recognition":[5],"where":[6],"feature":[8,67,163],"distribution":[9,49,73],"could":[10],"be":[11,134],"shifted":[12],"due":[13],"to":[14,45,56,69,78,133],"unlimited":[15],"variations":[16],"in":[17,51],"facial":[18,37],"image":[19],"acquisition,":[20],"we":[21,54],"propose":[22],"a":[23,58,115],"novel":[24],"Low-rank":[25],"constrained":[26,132],"latent":[27,63,88],"Domain":[28],"Adaptation":[29],"Depression":[30,182],"Recognition":[31,183],"(LDADR)":[32],"framework":[33],"by":[34,105],"jointly":[35],"utilizing":[36],"appearance":[38,66,126],"and":[39,60,92,128,192,209],"dynamics":[40,129],"features.":[41],"Under":[42],"this":[43,86],"framework,":[44],"alleviate":[46],"domain":[48,72],"bias":[50],"recognition,":[53],"devote":[55],"uncover":[57],"compact":[59],"more":[61,80],"informative":[62],"space":[64],"representation":[68],"minimize":[70],"divergence":[74],"as":[75,77,99,114],"well":[76],"share":[79],"discriminative":[81,140],"structures":[82],"between":[83],"domains.":[84],"In":[85],"optimal":[87],"space,":[89],"both":[90,125],"source":[91,179,191],"target":[93,121,193],"classification":[94],"loss":[95,155],"functions":[96],"are":[97,131,195,203],"incorporated":[98],"parts":[100],"of":[101,110,169,189],"its":[102],"co-regression":[103],"function":[104,156],"encoding":[106],"common":[108],"components":[109],"classifier":[112],"models":[113],"low-rank":[116],"constraint":[117],"term.":[118],"Moreover,":[119],"prediction":[122],"results":[123],"features":[127,130,188],"consistent":[135],"for":[136,157,180,213],"better":[137],"fusing":[138],"information":[141],"from":[142,166,177],"different":[143,162,197],"representations.":[144,164],"We":[145],"specially":[146],"adopt":[147],"l":[149],"<sub":[150],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2,1</sub>":[152],"-norm":[153],"based":[154],"learning":[158,216],"robust":[159],"classifiers":[160],"Different":[165],"state":[168],"arts,":[171],"our":[172],"algorithm":[173],"can":[174],"adapt":[175],"knowledge":[176],"another":[178],"Automated":[181],"(ADR)":[184],"even":[185],"if":[186],"domains":[194],"partially":[196],"but":[198],"overlapping.":[199],"The":[200],"proposed":[201],"methods":[202],"evaluated":[204],"three":[206],"databases,":[208],"outstanding":[211],"performance":[212],"almost":[214],"all":[215],"tasks":[217],"has":[218],"been":[219],"achieved":[220],"compared":[221],"with":[222],"several":[223],"representative":[224],"algorithms.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}