{"id":"https://openalex.org/W2129730005","doi":"https://doi.org/10.1109/ett.2009.43","title":"Face Recognition Based on LFDA and LS-SVM","display_name":"Face Recognition Based on LFDA and LS-SVM","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2129730005","doi":"https://doi.org/10.1109/ett.2009.43","mag":"2129730005"},"language":"en","primary_location":{"id":"doi:10.1109/ett.2009.43","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ett.2009.43","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Second International Conference on Education Technology and Training","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102826951","display_name":"Qi Shen","orcid":"https://orcid.org/0000-0002-9651-1985"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Shen","raw_affiliation_strings":["School of Software Engineering, Beijing University of Technology, Beijing, China","Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Sch. of Software Eng., Beijing Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084787075","display_name":"Ruixiang Liu","orcid":"https://orcid.org/0009-0007-0779-4535"},"institutions":[{"id":"https://openalex.org/I114234892","display_name":"Beijing Union University","ror":"https://ror.org/01hg31662","country_code":"CN","type":"education","lineage":["https://openalex.org/I114234892"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixiang Liu","raw_affiliation_strings":["Information College, Beijing Union University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information College, Beijing Union University, Beijing, China","institution_ids":["https://openalex.org/I114234892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"136","last_page":"139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"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":0.998199999332428,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7449371218681335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7168073058128357},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7118203639984131},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7046422958374023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7024058699607849},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.618180513381958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5884649157524109},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49793577194213867},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4970698654651642},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3737722635269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20805948972702026}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7449371218681335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7168073058128357},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7118203639984131},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7046422958374023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7024058699607849},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.618180513381958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5884649157524109},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49793577194213867},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4970698654651642},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3737722635269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20805948972702026},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ett.2009.43","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ett.2009.43","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 Second International Conference on Education Technology and Training","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1527042480","https://openalex.org/W1596717185","https://openalex.org/W2102727375","https://openalex.org/W2109531142","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2154872931","https://openalex.org/W2156909104","https://openalex.org/W2799061466","https://openalex.org/W3014771378","https://openalex.org/W4211083646","https://openalex.org/W4244494905","https://openalex.org/W6676189307","https://openalex.org/W6682644385","https://openalex.org/W7014191107"],"related_works":["https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W2362114017","https://openalex.org/W3147024994","https://openalex.org/W2063246903","https://openalex.org/W2374055396","https://openalex.org/W1978302214","https://openalex.org/W2021817983","https://openalex.org/W1995039490","https://openalex.org/W2104382484"],"abstract_inverted_index":{"Face":[0],"recognition":[1,15,28],"is":[2,30],"one":[3],"of":[4,13,35,45,59],"the":[5,11,33,56,60],"most":[6],"challenging":[7],"research":[8],"topics":[9],"in":[10],"field":[12],"pattern":[14],"and":[16,41],"computer":[17],"vision.":[18],"To":[19],"efficiently":[20],"deal":[21],"with":[22],"this":[23],"problem,":[24],"a":[25],"novel":[26],"face":[27,52],"algorithm":[29],"proposed":[31,61],"by":[32],"combination":[34],"local":[36],"fisher":[37],"discriminant":[38],"analysis":[39],"(LFDA)":[40],"least":[42],"square":[43],"version":[44],"SVM":[46],"(LS-SVM).":[47],"Experimental":[48],"results":[49],"on":[50],"real":[51],"databases":[53],"have":[54],"demonstrated":[55],"better":[57],"performance":[58],"algorithm.":[62]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
