{"id":"https://openalex.org/W1530420445","doi":"https://doi.org/10.1109/fg.2015.7163101","title":"Pairwise linear regression: An efficient and fast multi-view facial expression recognition","display_name":"Pairwise linear regression: An efficient and fast multi-view facial expression recognition","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1530420445","doi":"https://doi.org/10.1109/fg.2015.7163101","mag":"1530420445"},"language":"en","primary_location":{"id":"doi:10.1109/fg.2015.7163101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","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/A5071880547","display_name":"Mahdi Jampour","orcid":"https://orcid.org/0000-0002-1559-1865"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Mahdi Jampour","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041607252","display_name":"Thomas Mauthner","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Mauthner","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011359067","display_name":"Horst Bischof","orcid":"https://orcid.org/0000-0002-9096-6671"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Bischof","raw_affiliation_strings":["Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]"],"affiliations":[{"raw_affiliation_string":"Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"[Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria]","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071880547"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":0.9359,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81471752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991000294685364,"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/T11448","display_name":"Face recognition and analysis","score":0.9973999857902527,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.7963942289352417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.773679256439209},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6999380588531494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886463165283203},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.574772834777832},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5380930304527283},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.49677544832229614},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4916079640388489},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.45834892988204956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45079687237739563},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43857550621032715},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4302043914794922},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.418714314699173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2241416871547699},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11812710762023926}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7963942289352417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.773679256439209},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6999380588531494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886463165283203},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.574772834777832},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5380930304527283},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.49677544832229614},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4916079640388489},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.45834892988204956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45079687237739563},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43857550621032715},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4302043914794922},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.418714314699173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2241416871547699},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11812710762023926},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg.2015.7163101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg.2015.7163101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.697.3202","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.697.3202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.icg.tugraz.at/Members/mauthner/Publications/fg_2015/at_download/file/","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"},{"id":"https://openalex.org/F4320325384","display_name":"Ministry of Science Research and Technology","ror":"https://ror.org/004v5tb85"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W114444734","https://openalex.org/W1488147239","https://openalex.org/W1544935352","https://openalex.org/W2002705009","https://openalex.org/W2012105950","https://openalex.org/W2068376131","https://openalex.org/W2068640973","https://openalex.org/W2083261714","https://openalex.org/W2097290407","https://openalex.org/W2097486709","https://openalex.org/W2107488200","https://openalex.org/W2119601766","https://openalex.org/W2126234799","https://openalex.org/W2127271355","https://openalex.org/W2132467081","https://openalex.org/W2137306662","https://openalex.org/W2138041069","https://openalex.org/W2147097131","https://openalex.org/W2150081556","https://openalex.org/W2152893717","https://openalex.org/W2153635508","https://openalex.org/W2155779606","https://openalex.org/W2156503193","https://openalex.org/W2160547390","https://openalex.org/W2161969291","https://openalex.org/W2540801879","https://openalex.org/W2548197316","https://openalex.org/W2912990735","https://openalex.org/W6629069941","https://openalex.org/W6632945078","https://openalex.org/W6678924644"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902","https://openalex.org/W3174613421"],"abstract_inverted_index":{"Multi-view":[0],"facial":[1,11,41,64,88],"expression":[2,89],"recognition":[3],"(MFER)":[4],"is":[5,23],"an":[6],"active":[7],"research":[8],"topic":[9],"in":[10,43,147],"analysis.":[12],"In":[13,28],"fact,":[14],"not":[15],"only":[16],"the":[17,117,120,145],"accuracy":[18],"but":[19],"also":[20],"time":[21],"complexity":[22],"desirable":[24],"for":[25,39,70,84,106],"real":[26],"applications.":[27],"this":[29],"paper,":[30],"we":[31],"introduce":[32],"a":[33,93,152],"new":[34],"fast":[35],"and":[36,57,104,140,143,165],"robust":[37,161],"approach":[38,47],"recognizing":[40],"expressions":[42],"arbitrary":[44],"views.":[45,76],"Our":[46],"relies":[48],"on":[49,116,137],"learning":[50],"linear":[51,68],"regressions":[52],"between":[53],"pairs":[54],"of":[55,95,98,119],"non-frontal":[56,73],"frontal":[58,75,79],"sets":[59],"to":[60,74,162],"virtually":[61],"compensate":[62],"occluded":[63],"parts.":[65],"We":[66,91,135],"learn":[67],"regression":[69,172],"projecting":[71],"from":[72],"Such":[77],"approximated":[78],"training":[80,85],"features":[81],"are":[82],"applied":[83],"view":[86],"specific":[87,112,155],"classifiers.":[90],"propose":[92],"number":[94],"different":[96],"variants":[97],"our":[99,124,170],"approach,":[100],"including":[101],"sparse":[102],"encoding":[103],"ridge-regression":[105],"feature":[107,163],"representation.":[108],"While":[109],"classical":[110],"pose":[111,121,133,154],"methods":[113],"strongly":[114],"depend":[115],"quality":[118],"estimation":[122,168],"step,":[123],"approaches":[125],"maintain":[126],"their":[127],"superior":[128],"behavior":[129],"even":[130,150],"under":[131],"severe":[132],"noise.":[134],"evaluate":[136],"both":[138],"BU3DFE":[139],"Multi-PIE":[141],"datasets":[142],"outperform":[144],"state-of-the-art":[146],"classification":[148],"accuracy,":[149],"with":[151,169],"simple":[153],"baseline":[156],"method,":[157],"while":[158],"being":[159],"extremely":[160],"noise":[164],"erroneous":[166],"viewpoint":[167],"pairwise":[171],"approaches.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
