{"id":"https://openalex.org/W2609141003","doi":"https://doi.org/10.1109/icpr.2016.7900283","title":"Hybrid hypergraph construction for facial expression recognition","display_name":"Hybrid hypergraph construction for facial expression recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609141003","doi":"https://doi.org/10.1109/icpr.2016.7900283","mag":"2609141003"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5102101230","display_name":"Yuchi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuchi Huang","raw_affiliation_strings":["National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102146587","display_name":"Hanqing Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanqing Lu","raw_affiliation_strings":["National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Lab of Pattern Recognition, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102101230"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6168963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4142","last_page":"4147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9972000122070312,"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":0.9972000122070312,"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":0.9957000017166138,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9819999933242798,"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/hypergraph","display_name":"Hypergraph","score":0.7283469438552856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.606300413608551},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5212260484695435},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.46810293197631836},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.43707460165023804},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4157007932662964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40074294805526733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27930760383605957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1883302628993988},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1502888798713684},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12083965539932251}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7283469438552856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606300413608551},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5212260484695435},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.46810293197631836},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.43707460165023804},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4157007932662964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40074294805526733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27930760383605957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1883302628993988},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1502888798713684},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12083965539932251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7900283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"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":30,"referenced_works":["https://openalex.org/W1661563386","https://openalex.org/W1904365287","https://openalex.org/W1916406603","https://openalex.org/W1968015059","https://openalex.org/W1989889610","https://openalex.org/W2000820603","https://openalex.org/W2005676288","https://openalex.org/W2062118960","https://openalex.org/W2094651715","https://openalex.org/W2102570318","https://openalex.org/W2106390385","https://openalex.org/W2108445559","https://openalex.org/W2120901716","https://openalex.org/W2124386111","https://openalex.org/W2128700566","https://openalex.org/W2139916508","https://openalex.org/W2145287260","https://openalex.org/W2154455818","https://openalex.org/W2158579916","https://openalex.org/W2162359196","https://openalex.org/W2170057991","https://openalex.org/W2195207531","https://openalex.org/W2950094539","https://openalex.org/W2995034616","https://openalex.org/W4247044646","https://openalex.org/W6640036494","https://openalex.org/W6650590054","https://openalex.org/W6679194931","https://openalex.org/W6682494755","https://openalex.org/W6685083254"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"In":[0,88],"this":[1,89],"paper,":[2],"we":[3,46,69],"proposed":[4,157],"a":[5,21,67,117],"novel":[6],"framework":[7],"for":[8],"facial":[9,50,109],"expression":[10,27,110,114],"recognition,":[11],"in":[12,20],"which":[13,123],"face":[14,92],"images":[15,145],"were":[16],"taken":[17],"as":[18,31,62],"vertices":[19,131],"hypergraph":[22,35,118],"and":[23,57,162],"the":[24,32,79,101,127,138,156],"task":[25],"of":[26,34,49,104,143],"recognition":[28,111],"was":[29,41,94,165],"formulated":[30],"problem":[33],"based":[36,119],"inference.":[37],"A":[38],"hybrid":[39],"strategy":[40],"developed":[42],"to":[43,65,84,96,125,130,149,159],"construct":[44],"hyperedges:":[45],"generated":[47],"probabilities":[48],"action":[51,60],"units":[52],"by":[53,73,99,116,167],"deep":[54,105],"convolutional":[55,106],"networks":[56],"took":[58],"each":[59,91],"unit":[61],"an":[63],"\u2018attribute\u2019":[64],"represent":[66],"hyperedge;":[68],"also":[70],"formed":[71],"hyperedges":[72,98],"using":[74],"embedded":[75],"network":[76],"features":[77],"before":[78],"last":[80],"full":[81],"connected":[82],"layer":[83],"perform":[85],"local":[86],"clustering.":[87],"way,":[90],"image":[93],"assigned":[95],"various":[97],"exploiting":[100],"representational":[102],"power":[103],"networks.":[107],"Our":[108],"system":[112],"generates":[113],"labels":[115,142],"transductive":[120],"inference":[121],"approach,":[122],"tends":[124],"assign":[126],"same":[128],"label":[129],"that":[132,140],"share":[133],"many":[134],"incidental":[135],"hyperedges,":[136],"with":[137],"constraints":[139],"predicted":[141],"training":[144],"should":[146],"be":[147],"similar":[148],"their":[150],"ground":[151],"truth":[152],"labels.":[153],"We":[154],"compared":[155],"approach":[158],"state-of-the-art":[160],"methods":[161],"its":[163],"effectiveness":[164],"demonstrated":[166],"extensive":[168],"experimentation.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
