{"id":"https://openalex.org/W2764218490","doi":"https://doi.org/10.3906/elk-1606-115","title":"Adaptive joint block-weighted collaborative representation for facial expression recognition","display_name":"Adaptive joint block-weighted collaborative representation for facial expression recognition","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2764218490","doi":"https://doi.org/10.3906/elk-1606-115","mag":"2764218490"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1606-115","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1606-115","pdf_url":"https://doi.org/10.3906/elk-1606-115","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.3906/elk-1606-115","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049529533","display_name":"Zhe Sun","orcid":"https://orcid.org/0000-0002-4633-7675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe SUN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101027173","display_name":"Zhengping Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengping HU","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng WANG","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014599311","display_name":"Shuhuan Zhao","orcid":"https://orcid.org/0000-0001-5518-7368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuhuan ZHAO","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14751397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"3699","last_page":"3712"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996999979019165,"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":0.996999979019165,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9919000267982483,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9811000227928162,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.8246161937713623},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6804780960083008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6365349292755127},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.6205239295959473},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5662415027618408},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5599086284637451},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5576486587524414},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5435833930969238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5091745257377625},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5087030529975891},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5073427557945251},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43134206533432007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4307674169540405},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11414036154747009}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.8246161937713623},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6804780960083008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6365349292755127},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.6205239295959473},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5662415027618408},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5599086284637451},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5576486587524414},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5435833930969238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5091745257377625},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5087030529975891},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5073427557945251},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43134206533432007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4307674169540405},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11414036154747009},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3906/elk-1606-115","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1606-115","pdf_url":"https://doi.org/10.3906/elk-1606-115","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3906/elk-1606-115","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1606-115","pdf_url":"https://doi.org/10.3906/elk-1606-115","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W758560933","https://openalex.org/W1115808681","https://openalex.org/W1426606741","https://openalex.org/W1826272299","https://openalex.org/W1932822184","https://openalex.org/W1966999409","https://openalex.org/W1975976087","https://openalex.org/W1978493291","https://openalex.org/W1989243451","https://openalex.org/W2014185685","https://openalex.org/W2064647952","https://openalex.org/W2064895144","https://openalex.org/W2080296254","https://openalex.org/W2095176685","https://openalex.org/W2132467081","https://openalex.org/W2138583841","https://openalex.org/W2151331026","https://openalex.org/W2152194780","https://openalex.org/W2188901757","https://openalex.org/W2302333535","https://openalex.org/W2308837722","https://openalex.org/W2320196946","https://openalex.org/W2400589594","https://openalex.org/W7037509055"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W3046185751","https://openalex.org/W2032875729","https://openalex.org/W2475308993","https://openalex.org/W2477273251","https://openalex.org/W2790526747","https://openalex.org/W2069575426","https://openalex.org/W2108799769","https://openalex.org/W3002212064","https://openalex.org/W2113267837"],"abstract_inverted_index":{"Facial":[0],"expression":[1],"recognition":[2],"(FER)":[3],"plays":[4],"a":[5,27,76],"significant":[6],"role":[7],"in":[8,20,26,117],"human-computer":[9],"interactions.":[10],"Recently,":[11],"regularized":[12],"linear":[13],"representation-based":[14,44],"classification":[15,45,158],"has":[16],"achieved":[17],"satisfying":[18],"results":[19],"FER.":[21],"Considering":[22],"that":[23,147],"different":[24,56,64,101,119],"blocks":[25,65],"sample":[28,72],"should":[29],"contribute":[30],"differently":[31],"to":[32,48,110],"the":[33,51,70,91,94,98,115,118,128,143,148],"representation":[34],"and":[35,53,66,135,142],"classification,":[36],"we":[37],"propose":[38],"an":[39],"adaptive":[40],"joint":[41],"block-weighted":[42],"collaborative":[43],"(JBW_CRC)":[46],"method":[47,124,150],"effectively":[49],"exploit":[50],"similarity":[52,92],"distinctiveness":[54,99,116],"of":[55,69,100,130],"blocks.":[57],"In":[58],"JBW_CRC,":[59],"samples":[60],"are":[61],"divided":[62],"into":[63],"each":[67],"block":[68,87],"query":[71],"is":[73,82,104,125,151],"represented":[74],"as":[75],"feature":[77,80,95,102,120],"vector.":[78],"Each":[79],"vector":[81],"coded":[83],"on":[84,139],"its":[85,108],"related":[86],"dictionary,":[88],"which":[89,113],"considers":[90],"among":[93],"vectors.":[96,121],"Additionally,":[97],"vectors":[103],"obtained":[105],"by":[106],"weighting":[107],"distance":[109],"other":[111],"features,":[112],"addresses":[114],"The":[122],"proposed":[123,149],"verified":[126],"from":[127],"aspect":[129],"training":[131],"samples,":[132],"time":[133],"complexity,":[134],"Gaussian":[136],"noise":[137],"variances":[138],"benchmark":[140],"databases":[141],"extensive":[144],"experiments":[145],"show":[146],"very":[152],"competitive":[153],"with":[154],"some":[155],"similar":[156],"pattern":[157],"methods.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2025-10-10T00:00:00"}
