{"id":"https://openalex.org/W2414167845","doi":"https://doi.org/10.1109/acpr.2015.7486524","title":"Discriminant statistical analysis of local facial geometrical regions","display_name":"Discriminant statistical analysis of local facial geometrical regions","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2414167845","doi":"https://doi.org/10.1109/acpr.2015.7486524","mag":"2414167845"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2015.7486524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","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/A5063870730","display_name":"Misae Nakatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Misae Nakatsu","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029273968","display_name":"Ryosuke Kimura","orcid":"https://orcid.org/0000-0003-0100-273X"},"institutions":[{"id":"https://openalex.org/I32915989","display_name":"University of the Ryukyus","ror":"https://ror.org/02z1n9q24","country_code":"JP","type":"education","lineage":["https://openalex.org/I32915989"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Kimura","raw_affiliation_strings":["University of the Ryukyus, Okinawa, Japan"],"affiliations":[{"raw_affiliation_string":"University of the Ryukyus, Okinawa, Japan","institution_ids":["https://openalex.org/I32915989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086851360","display_name":"Xian\u2010Hua Han","orcid":"https://orcid.org/0000-0002-5003-3180"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xian-Hua Han","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yen-Wei Chen","raw_affiliation_strings":["Ritsumeikan University, Shiga, Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063870730"],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.5343,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70095972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"351","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9430000185966492,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5283597111701965},{"id":"https://openalex.org/keywords/phenotype","display_name":"Phenotype","score":0.5093446969985962},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49109983444213867},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.46101251244544983},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.43614518642425537},{"id":"https://openalex.org/keywords/morphological-analysis","display_name":"Morphological analysis","score":0.415240615606308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38408204913139343},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3481876850128174},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.33744359016418457},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.3284766674041748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2811150848865509}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5283597111701965},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.5093446969985962},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49109983444213867},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.46101251244544983},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.43614518642425537},{"id":"https://openalex.org/C76297474","wikidata":"https://www.wikidata.org/wiki/Q1898737","display_name":"Morphological analysis","level":2,"score":0.415240615606308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38408204913139343},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3481876850128174},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.33744359016418457},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.3284766674041748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2811150848865509}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2015.7486524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2015.7486524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W33507944","https://openalex.org/W1261855544","https://openalex.org/W2032618685","https://openalex.org/W2074067714","https://openalex.org/W2117857206","https://openalex.org/W2118890802","https://openalex.org/W2123428193","https://openalex.org/W2128409098","https://openalex.org/W2170685496"],"related_works":["https://openalex.org/W2156856390","https://openalex.org/W1921169094","https://openalex.org/W2160698598","https://openalex.org/W1983848850","https://openalex.org/W32502520","https://openalex.org/W1809065030","https://openalex.org/W2380666260","https://openalex.org/W4232979854","https://openalex.org/W2023698157","https://openalex.org/W2038099157"],"abstract_inverted_index":{"The":[0,169],"residences":[1],"of":[2,42,84,99,126,134,178],"Japanese":[3,15,93],"Archipelago":[4],"mainly":[5],"include":[6],"the":[7,11,13,17,36,39,61,66,80,85,91,95,97,118,142,183,189,195,205],"three":[8],"human":[9,43],"populations;":[10],"Ainu,":[12],"Mainland":[14,92],"and":[16,29,51,69,94,158,181,204],"Ryukyuan,":[18],"which":[19,56,193],"can":[20],"be":[21],"inferred":[22],"by":[23,31],"genome-wide":[24],"single-nucleotide":[25],"polymorphism":[26],"(SNP)":[27],"data":[28],"characterized":[30],"generic":[32],"base":[33,68,112],"sequences.":[34,113],"In":[35,114],"other":[37],"hand,":[38],"genetic":[40],"association":[41,198],"facial":[44,87,119,136],"morphological":[45,73,88,167,202],"variation":[46],"recently":[47],"becomes":[48],"a":[49,70,124],"more":[50,52],"active":[53],"research":[54],"field,":[55],"aims":[57],"to":[58,78,108,116],"quantitatively":[59],"analyze":[60],"possible":[62],"relation":[63],"measure":[64],"between":[65,90,102,200],"gene":[67,111],"kind":[71],"offacial":[72],"variations.":[74],"This":[75],"study":[76],"attempts":[77],"explore":[79,117],"discriminated":[81,155],"phenotype":[82,100,120,172,191,203],"features":[83,101,173],"common":[86],"variations":[89],"Ryukyuan;":[96],"difference":[98],"these":[103],"two":[104,179],"populations":[105],"is":[106],"prospected":[107],"infer":[109],"different":[110],"order":[115],"features,":[121],"we":[122,139],"propose":[123],"framework":[125],"local":[127,163,171,201],"statistical":[128],"analysis":[129,153,199],"for":[130,166,176,197],"adjacent":[131],"geometrical":[132,164],"regions":[133],"3D":[135],"images.":[137],"Therein,":[138],"firstly":[140],"select":[141],"surface":[143],"points":[144],"with":[145],"higher":[146],"distinguishable":[147],"values":[148],"based":[149],"fisher":[150],"linear":[151],"discriminate":[152],"as":[154],"coordinate":[156],"vectors,":[157],"further":[159],"cluster":[160],"them":[161],"into":[162],"groups":[165],"analysis.":[168],"extracted":[170],"are":[174],"applied":[175],"identification":[177],"populations,":[180],"achieve":[182],"comparable":[184],"or":[185],"better":[186],"performances":[187],"than":[188],"global":[190],"feature,":[192],"manifests":[194],"possibility":[196],"genes.":[206]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
