{"id":"https://openalex.org/W7101391626","doi":"https://doi.org/10.1109/tce.2025.3626525","title":"PAGM: Partially Aligned Global and Marginal Multi-View Contrastive Clustering for Facial Recognition in Consumer Electronics","display_name":"PAGM: Partially Aligned Global and Marginal Multi-View Contrastive Clustering for Facial Recognition in Consumer Electronics","publication_year":2025,"publication_date":"2025-10-28","ids":{"openalex":"https://openalex.org/W7101391626","doi":"https://doi.org/10.1109/tce.2025.3626525"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2025.3626525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3626525","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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":null,"display_name":"Dayu Hu","orcid":"https://orcid.org/0000-0002-9369-7390"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dayu Hu","raw_affiliation_strings":["College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tagrid Abdullah N. Alshalali","orcid":null},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Tagrid Abdullah N. Alshalali","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box, 84428, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box, 84428, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xu Xu","orcid":"https://orcid.org/0000-0002-3934-9096"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Por Lip Yee","orcid":"https://orcid.org/0000-0001-5865-1533"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Por Lip Yee","raw_affiliation_strings":["Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zaffar Ahmed Shaikh","orcid":"https://orcid.org/0000-0003-0323-2061"},"institutions":[{"id":"https://openalex.org/I1308893265","display_name":"Shaheed Benazir Bhutto University","ror":"https://ror.org/02zwhz281","country_code":"PK","type":"education","lineage":["https://openalex.org/I1308893265"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zaffar Ahmed Shaikh","raw_affiliation_strings":["Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Pakistan","institution_ids":["https://openalex.org/I1308893265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing Yang","orcid":"https://orcid.org/0009-0008-0467-5984"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Center of Research for Cyber Security and Network (CSNET), Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":null,"display_name":"Thippa Reddy Gadekallu","orcid":"https://orcid.org/0000-0003-0097-801X"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thippa Reddy Gadekallu","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A&#x0026;F University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A&#x0026;F University, Hangzhou, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":3.8352,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.94377998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"72","issue":"1","first_page":"2570","last_page":"2578"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.4242999851703644,"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/T11448","display_name":"Face recognition and analysis","score":0.4242999851703644,"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/T10057","display_name":"Face and Expression Recognition","score":0.15479999780654907,"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":0.11860000342130661,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.536300003528595},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5181999802589417},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.516700029373169},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5058000087738037},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4964999854564667},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.47929999232292175},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.4742000102996826},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.4700999855995178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4551999866962433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5946999788284302},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5181999802589417},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.516700029373169},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5058000087738037},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4964999854564667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49309998750686646},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4551999866962433},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4065000116825104},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.390500009059906},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3562000095844269},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2992999851703644},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C2781286587","wikidata":"https://www.wikidata.org/wiki/Q3693413","display_name":"Cordless","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2549999952316284},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3626525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3626525","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6831293106079102,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1998871699","https://openalex.org/W2060124823","https://openalex.org/W2083397494","https://openalex.org/W2096733369","https://openalex.org/W2109049412","https://openalex.org/W2111286514","https://openalex.org/W2132090144","https://openalex.org/W2168835473","https://openalex.org/W2786672272","https://openalex.org/W2809299793","https://openalex.org/W2965174731","https://openalex.org/W3117265891","https://openalex.org/W4283827931","https://openalex.org/W4290713716","https://openalex.org/W4312238451","https://openalex.org/W4315926876","https://openalex.org/W4323896988","https://openalex.org/W4324292597","https://openalex.org/W4385453259","https://openalex.org/W4385489679","https://openalex.org/W4386913514","https://openalex.org/W4388069771","https://openalex.org/W4388692588","https://openalex.org/W4392694056","https://openalex.org/W4392745198","https://openalex.org/W4400235880","https://openalex.org/W4403210286","https://openalex.org/W4403791813","https://openalex.org/W4403792469","https://openalex.org/W4404253834","https://openalex.org/W4409525161","https://openalex.org/W4410737652","https://openalex.org/W4411086523"],"related_works":[],"abstract_inverted_index":{"Facial":[0],"recognition":[1,75,229],"has":[2],"become":[3,24,47],"a":[4,83,127,206,237],"cornerstone":[5],"of":[6],"consumer":[7,29,91,232],"electronics,":[8],"underpinning":[9],"critical":[10],"functions":[11],"such":[12],"as":[13,201],"device":[14],"security,":[15],"user":[16,44],"authentication,":[17],"and":[18,36,42,68,109,121,143,155,174,204],"privacy-sensitive":[19],"applications.":[20],"As":[21],"these":[22,115],"systems":[23],"increasingly":[25],"embedded":[26],"in":[27,89,224,231],"daily":[28],"devices":[30],"like":[31],"smartphones,":[32],"smart":[33],"home":[34],"assistants,":[35],"wearables,":[37],"ensuring":[38],"their":[39],"forensic":[40],"reliability":[41],"preserving":[43],"privacy":[45,154],"have":[46],"paramount.":[48],"Despite":[49],"significant":[50],"advancements,":[51],"traditional":[52],"supervised":[53],"learning":[54,151,160,192],"methods":[55,76],"often":[56],"require":[57],"substantial":[58],"labeled":[59],"data,":[60],"making":[61],"unsupervised":[62,73],"approaches":[63],"more":[64,184],"desirable":[65],"for":[66,240],"scalable":[67],"privacy-preserving":[69,241],"deployments.":[70],"However,":[71],"existing":[72,221],"facial":[74,137,228],"commonly":[77],"assume":[78],"perfect":[79],"alignment":[80],"across":[81],"views,":[82],"condition":[84],"that":[85,97,183,217],"is":[86,162],"rarely":[87],"achieved":[88],"practical":[90],"electronics":[92],"environments.":[93],"Moreover,":[94],"conventional":[95],"techniques":[96],"combine":[98],"multi-view":[99,136,227],"information":[100],"through":[101],"concatenation":[102],"or":[103],"weighted":[104],"fusion":[105],"can":[106],"introduce":[107,118],"noise":[108],"compromise":[110],"system":[111],"integrity.":[112,157],"To":[113],"overcome":[114],"challenges,":[116],"we":[117],"Partially-Aligned":[119],"Global":[120],"Marginal":[122],"Multi-View":[123],"Contrastive":[124],"Clustering":[125],"(PAGM),":[126],"novel":[128],"method":[129],"specifically":[130],"designed":[131],"to":[132,147,178,209],"handle":[133],"partially":[134],"aligned":[135,199],"data.":[138],"PAGM":[139,218],"employs":[140],"both":[141],"global":[142,159],"marginal":[144],"contrastive":[145],"losses":[146],"enhance":[148],"discriminative":[149],"feature":[150],"while":[152],"maintaining":[153],"data":[156],"The":[158],"module":[161,193],"inspired":[163],"by":[164,197],"the":[165,169,190,195],"transformer":[166],"architecture,":[167],"employing":[168],"Query":[170],"(Q),":[171],"Key":[172],"(K),":[173],"Value":[175],"(V)":[176],"matrices":[177],"construct":[179],"an":[180],"attention":[181],"mechanism":[182],"effectively":[185],"fuses":[186],"cross-modal":[187],"information.":[188],"Meanwhile,":[189],"margin":[191,207],"optimizes":[194],"network":[196],"treating":[198],"samples":[200],"positive":[202],"pairs":[203],"introducing":[205],"term":[208],"prevent":[210],"trivial":[211],"solutions.":[212],"Extensive":[213],"experimental":[214],"results":[215],"validate":[216],"significantly":[219],"outperforms":[220],"methods,":[222],"particularly":[223],"challenging,":[225],"unaligned":[226],"scenarios":[230],"electronic":[233],"devices,":[234],"thereby":[235],"offering":[236],"promising":[238],"solution":[239],"biometric":[242],"systems.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-28T00:00:00"}
