{"id":"https://openalex.org/W2785537381","doi":"https://doi.org/10.1109/ascc.2017.8287318","title":"Nesterov accelerated gradient descent-based convolution neural network with dropout for facial expression recognition","display_name":"Nesterov accelerated gradient descent-based convolution neural network with dropout for facial expression recognition","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2785537381","doi":"https://doi.org/10.1109/ascc.2017.8287318","mag":"2785537381"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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":"https://openalex.org/A5008451144","display_name":"Wanjuan Su","orcid":"https://orcid.org/0000-0002-5497-4682"},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanjuan Su","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029643093","display_name":"Luefeng Chen","orcid":"https://orcid.org/0000-0003-3571-7493"},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luefeng Chen","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074710425","display_name":"Min Wu","orcid":"https://orcid.org/0000-0002-0668-8315"},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Wu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055465909","display_name":"Mengtian Zhou","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengtian Zhou","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101455965","display_name":"Zhentao Liu","orcid":"https://orcid.org/0000-0003-4100-9557"},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhentao Liu","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071282606","display_name":"Weihua Cao","orcid":"https://orcid.org/0000-0002-9677-9586"},"institutions":[{"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"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Cao","raw_affiliation_strings":["Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","School of Automation, China, University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Automation, China, University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.241,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":10,"citation_normalized_percentile":{"value":0.699021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":null,"issue":null,"first_page":"1063","last_page":"1068"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9979,"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":0.9979,"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":0.9956,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9906,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.87011445},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.8304896},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7332538},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6355722},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5913799},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic Gradient Descent","score":0.5020616},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.47395778}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.87011445},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.8304896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77871406},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7332538},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6355722},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5913799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58722043},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.561513},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5520391},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5020616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49947596},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.47395778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47041634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32756072},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2017.8287318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1973845020","https://openalex.org/W2003238582","https://openalex.org/W2014185685","https://openalex.org/W2018036034","https://openalex.org/W2058098602","https://openalex.org/W2061715187","https://openalex.org/W2095705004","https://openalex.org/W2100495367","https://openalex.org/W2176950688","https://openalex.org/W2198512331","https://openalex.org/W2297337743","https://openalex.org/W2338772450","https://openalex.org/W2343166405","https://openalex.org/W2413757304","https://openalex.org/W2487852963","https://openalex.org/W2551059751","https://openalex.org/W2560006649","https://openalex.org/W2561231440","https://openalex.org/W2584561145","https://openalex.org/W2936995161","https://openalex.org/W2963430672","https://openalex.org/W3034751874","https://openalex.org/W3144058330"],"related_works":["https://openalex.org/W4307654087","https://openalex.org/W4298017035","https://openalex.org/W4226354336","https://openalex.org/W3128220493","https://openalex.org/W3110700750","https://openalex.org/W2998675825","https://openalex.org/W2951100320","https://openalex.org/W2897443685","https://openalex.org/W2792147139","https://openalex.org/W2736804899"],"abstract_inverted_index":{"Nesterov":[0,64],"accelerated":[1,65],"gradient":[2,66],"descent-based":[3],"convolution":[4,19,30],"neural":[5,20,31],"network":[6,21,32,74],"(NAGDCNN)":[7],"with":[8,23],"dropout":[9,44],"is":[10,46,69,126],"proposed":[11],"for":[12],"facial":[13],"expression":[14,38],"recognition,":[15],"which":[16,52],"fuses":[17],"the":[18,49,58,63,73,80,91,95,99,102,111,116,119,123,131,134,137],"(CNN)":[22],"Softmax":[24],"regression":[25],"to":[26,71],"construct":[27],"a":[28],"deep":[29],"(DCNN)":[33],"that":[34,76,115],"can":[35,53,77],"excavate":[36],"high-level":[37],"features":[39],"and":[40,57,89,110,130],"classify":[41],"them.":[42],"The":[43],"layer":[45,51],"added":[47],"after":[48],"sub-sampling":[50],"effectively":[54],"reduce":[55],"overfitting":[56],"network's":[59],"training":[60],"time,":[61],"moreover,":[62],"descent":[67],"(NAGD)":[68],"used":[70],"optimize":[72],"weights":[75],"predictably":[78],"prevent":[79],"algorithm":[81],"from":[82],"going":[83],"too":[84,87],"fast":[85],"or":[86],"slow":[88],"enhance":[90],"response":[92],"capability":[93],"of":[94,101,136],"network.":[96],"To":[97],"verify":[98],"effectiveness":[100],"proposal,":[103],"experiments":[104],"on":[105],"benchmark":[106],"database":[107],"are":[108],"conducted,":[109],"experimental":[112],"results":[113,132],"show":[114],"proposal":[117,138],"outperforms":[118],"state-of-the-art":[120],"methods.":[121],"Futhermore,":[122],"application":[124],"experiment":[125],"also":[127],"curried":[128],"out":[129],"indicate":[133],"feasibility":[135],"in":[139],"practical":[140],"applications.":[141]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2785537381","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-09T20:27:11.316303","created_date":"2018-02-23"}