{"id":"https://openalex.org/W3088590657","doi":"https://doi.org/10.1109/iccse49874.2020.9201819","title":"Facial Expression Recognition Based on Sparse Autoencoder and Shallow Convolutional Neural Network","display_name":"Facial Expression Recognition Based on Sparse Autoencoder and Shallow Convolutional Neural Network","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3088590657","doi":"https://doi.org/10.1109/iccse49874.2020.9201819","mag":"3088590657"},"language":"en","primary_location":{"id":"doi:10.1109/iccse49874.2020.9201819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse49874.2020.9201819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 15th International Conference on Computer Science &amp; Education (ICCSE)","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":"https://openalex.org/A5071905012","display_name":"Menghan Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Menghan Sheng","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425448","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0001-7914-0679"},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Fiberhome Telecommunication Technologies Co., Ltd, Wuhan, China","Wuhan Fiberhome Technical ServicesCo., Ltd, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Fiberhome Telecommunication Technologies Co., Ltd, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]},{"raw_affiliation_string":"Wuhan Fiberhome Technical ServicesCo., Ltd, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037591175","display_name":"Lingyu Yan","orcid":"https://orcid.org/0000-0003-2468-3881"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Yan","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072362529","display_name":"Chunzhi Wang","orcid":"https://orcid.org/0000-0002-6742-3644"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunzhi Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101590950","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-9329-1086"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016558149","display_name":"Huiling Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Xia","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684572","display_name":"Yujin Zhang","orcid":"https://orcid.org/0000-0003-1225-4334"},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujin Zhang","raw_affiliation_strings":["Fiberhome Telecommunication Technologies Co., Ltd, Wuhan, China","Wuhan Fiberhome Technical ServicesCo., Ltd, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Fiberhome Telecommunication Technologies Co., Ltd, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]},{"raw_affiliation_string":"Wuhan Fiberhome Technical ServicesCo., Ltd, Wuhan, China","institution_ids":["https://openalex.org/I4210155232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5071905012"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10178463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"669","last_page":"674"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9926999807357788,"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/T12676","display_name":"Machine Learning and ELM","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.8731014132499695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.776775598526001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7683336734771729},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7566958665847778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7395341396331787},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6984160542488098},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.61119544506073},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5978289246559143},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5322223901748657},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5070409774780273},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.48053795099258423},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4480382800102234},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40498122572898865}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8731014132499695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.776775598526001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7683336734771729},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7566958665847778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7395341396331787},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6984160542488098},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.61119544506073},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5978289246559143},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5322223901748657},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5070409774780273},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.48053795099258423},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4480382800102234},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40498122572898865}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccse49874.2020.9201819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse49874.2020.9201819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 15th International Conference on Computer Science &amp; Education (ICCSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2041616772","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2117539524","https://openalex.org/W2125430195","https://openalex.org/W2161969291","https://openalex.org/W2186774594","https://openalex.org/W2194775991","https://openalex.org/W2487852963","https://openalex.org/W2566938590","https://openalex.org/W2744909235","https://openalex.org/W2750692136","https://openalex.org/W2770241112","https://openalex.org/W2790342539","https://openalex.org/W2797802073","https://openalex.org/W2799041689","https://openalex.org/W3124054989"],"related_works":["https://openalex.org/W2769441402","https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W3086240734","https://openalex.org/W2736305774","https://openalex.org/W2951850672","https://openalex.org/W2789476480","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774"],"abstract_inverted_index":{"Facial":[0],"expression":[1,32,69],"recognition":[2,11,14,33,70],"is":[3,15,77],"an":[4],"important":[5],"research":[6],"issue":[7],"in":[8,20],"the":[9,47,66,87,90,96,99,120,125,129],"pattern":[10],"and":[12,38,58,74,89,128],"accurate":[13],"a":[16,28],"great":[17],"challenge,":[18],"especially":[19],"real":[21],"scenes.":[22],"In":[23],"this":[24,75],"paper,":[25],"we":[26],"propose":[27],"method":[29],"of":[30,49,53,98],"facial":[31,68],"based":[34],"on":[35,124],"sparse":[36],"autoencoder":[37],"shallow":[39,54],"convolution":[40,55],"neural":[41,56],"network,":[42],"which":[43],"can":[44],"effectively":[45],"solve":[46],"problems":[48],"insufficient":[50],"feature":[51],"extraction":[52],"network":[57],"limited":[59],"sample":[60],"datasets.":[61],"The":[62,82,115],"experimental":[63,116],"data":[64,76],"adopts":[65],"ICML2013":[67],"contest's":[71],"dataset":[72,127],"(FER-2013)":[73],"more":[78],"difficult":[79],"to":[80],"identify.":[81],"images":[83],"are":[84,93,104,109],"preprocessed":[85],"before":[86],"experiment":[88],"key":[91],"parts":[92],"selected":[94],"as":[95],"input":[97],"model.":[100],"After":[101],"these":[102],"features":[103],"extracted":[105],"many":[106],"times,":[107],"they":[108],"finally":[110],"classified":[111],"by":[112],"softmax":[113],"classifier.":[114],"results":[117],"indicate":[118],"that":[119],"model":[121],"performs":[122],"well":[123],"FER2013":[126],"accuracy":[130],"has":[131],"been":[132],"greatly":[133],"improved":[134],"compared":[135],"with":[136],"other":[137],"methods.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
