{"id":"https://openalex.org/W2241510067","doi":"https://doi.org/10.1109/access.2015.2510865","title":"Regularized Deep Learning for Face Recognition With Weight Variations","display_name":"Regularized Deep Learning for Face Recognition With Weight Variations","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2241510067","doi":"https://doi.org/10.1109/access.2015.2510865","mag":"2241510067"},"language":"en","primary_location":{"id":"doi:10.1109/access.2015.2510865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2015.2510865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7042252/07361971.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":null,"license_id":null,"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/ielx7/6287639/7042252/07361971.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066262755","display_name":"Shruti Nagpal","orcid":"https://orcid.org/0000-0002-0850-994X"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shruti Nagpal","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084235091","display_name":"Maneet Singh","orcid":"https://orcid.org/0000-0001-5086-1026"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maneet Singh","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["Indraprastha Institute of Information Technology Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066262755"],"corresponding_institution_ids":["https://openalex.org/I119939252"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0251,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.91377173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"3010","last_page":"3018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.993399977684021,"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/T10828","display_name":"Biometric Identification and Security","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7191723585128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7113545536994934},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6354643702507019},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5935158729553223},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5683587193489075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5043834447860718},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4963105320930481},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4846842586994171},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.4758062958717346},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.45207902789115906},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.44702625274658203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14397430419921875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7191723585128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7113545536994934},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6354643702507019},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5935158729553223},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5683587193489075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5043834447860718},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4963105320930481},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4846842586994171},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.4758062958717346},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.45207902789115906},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.44702625274658203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14397430419921875},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2015.2510865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2015.2510865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7042252/07361971.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a3ece6eb22ad44afb241aba2a737bab0","is_oa":true,"landing_page_url":"https://doaj.org/article/a3ece6eb22ad44afb241aba2a737bab0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 3, Pp 3010-3018 (2015)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2015.2510865","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2015.2510865","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7042252/07361971.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320729","display_name":"Department of Information Technology, Ministry of Communications and Information Technology","ror":"https://ror.org/02z31cn83"},{"id":"https://openalex.org/F4320330597","display_name":"Indraprastha Institute of Information Technology, Delhi","ror":"https://ror.org/03vfp4g33"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2241510067.pdf","grobid_xml":"https://content.openalex.org/works/W2241510067.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W804553622","https://openalex.org/W1930624869","https://openalex.org/W1951319388","https://openalex.org/W1989702938","https://openalex.org/W1998808035","https://openalex.org/W2083708558","https://openalex.org/W2095705004","https://openalex.org/W2106400123","https://openalex.org/W2110798204","https://openalex.org/W2125113755","https://openalex.org/W2129812935","https://openalex.org/W2138857742","https://openalex.org/W2144172034","https://openalex.org/W2145094598","https://openalex.org/W2145287260","https://openalex.org/W2181347294","https://openalex.org/W2200565374","https://openalex.org/W2295582178","https://openalex.org/W2606321545","https://openalex.org/W2616180702","https://openalex.org/W2623702739","https://openalex.org/W2997574889","https://openalex.org/W3099206234","https://openalex.org/W3102661353","https://openalex.org/W6602113894","https://openalex.org/W6607775107","https://openalex.org/W6674330103","https://openalex.org/W6676481782","https://openalex.org/W6680300913","https://openalex.org/W6681096077","https://openalex.org/W6681239517","https://openalex.org/W6685777803","https://openalex.org/W6697274609","https://openalex.org/W6738761513","https://openalex.org/W6785269020"],"related_works":["https://openalex.org/W3082178636","https://openalex.org/W2916681395","https://openalex.org/W1521968289","https://openalex.org/W2782041652","https://openalex.org/W2529583158","https://openalex.org/W1575733688","https://openalex.org/W2952088488","https://openalex.org/W2103994530","https://openalex.org/W3121267697","https://openalex.org/W3105107151"],"abstract_inverted_index":{"Body":[0],"weight":[1,22,47,97],"variations":[2,32],"are":[3],"an":[4,24],"integral":[5],"part":[6],"of":[7,15,23,76,96,104],"a":[8,42,67],"person's":[9],"aging":[10],"process.":[11],"However,":[12],"the":[13,18,21,73,88,94,101,105],"lack":[14],"association":[16],"between":[17],"age":[19],"and":[20,61,109],"individual":[25],"makes":[26],"it":[27],"challenging":[28],"to":[29,45,79],"model":[30],"these":[31,77],"for":[33],"automatic":[34],"face":[35],"recognition.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"propose":[41],"regularizer-based":[43],"approach":[44],"learn":[46,81],"invariant":[48],"facial":[49],"representations":[50],"using":[51],"two":[52],"different":[53],"deep":[54,62],"learning":[55],"architectures,":[56],"namely,":[57],"sparse-stacked":[58],"denoising":[59],"autoencoders":[60],"Boltzmann":[63],"machines.":[64],"We":[65],"incorporate":[66],"body-weight":[68],"aware":[69,98],"regularization":[70,99],"parameter":[71],"in":[72],"loss":[74],"function":[75],"architectures":[78,106],"help":[80],"weight-aware":[82],"features.":[83],"The":[84],"experiments":[85],"performed":[86],"on":[87],"extended":[89],"WIT":[90],"database":[91],"show":[92],"that":[93],"introduction":[95],"improves":[100],"identification":[102],"accuracy":[103],"both":[107],"with":[108],"without":[110],"dropout.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
