{"id":"https://openalex.org/W1604222306","doi":"https://doi.org/10.1007/978-3-540-45179-2_73","title":"A New Fisher-Based Method Applied to Face Recognition","display_name":"A New Fisher-Based Method Applied to Face Recognition","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W1604222306","doi":"https://doi.org/10.1007/978-3-540-45179-2_73","mag":"1604222306"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-45179-2_73","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45179-2_73","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5075626456","display_name":"Carlos Eduardo Thomaz","orcid":"https://orcid.org/0000-0001-5566-1963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Carlos E. Thomaz","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2BZ, United Kingdom","Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2BZ, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2BZ, United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2BZ, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103432003","display_name":"Duncan Gillies","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Duncan F. Gillies","raw_affiliation_strings":["Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2BZ, United Kingdom","Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2BZ, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queen\u2019s Gate, London, SW7 2BZ, United Kingdom","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Computing, Imperial College London, 180 Queen's Gate, London, SW7 2BZ, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075626456"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.3424,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.56537385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9678999781608582,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9567999839782715,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8491361141204834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7559573650360107},{"id":"https://openalex.org/keywords/scatter-matrix","display_name":"Scatter matrix","score":0.7542299032211304},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7540239095687866},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.7315244674682617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7018328309059143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6753983497619629},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48587197065353394},{"id":"https://openalex.org/keywords/fisher-kernel","display_name":"Fisher kernel","score":0.48160335421562195},{"id":"https://openalex.org/keywords/singularity","display_name":"Singularity","score":0.47553253173828125},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4716324508190155},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46744880080223083},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.465329110622406},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.46134310960769653},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41300058364868164},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.2683306336402893},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26793816685676575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2581544518470764},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.06437250971794128}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8491361141204834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7559573650360107},{"id":"https://openalex.org/C176917957","wikidata":"https://www.wikidata.org/wiki/Q7430596","display_name":"Scatter matrix","level":4,"score":0.7542299032211304},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7540239095687866},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.7315244674682617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7018328309059143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6753983497619629},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48587197065353394},{"id":"https://openalex.org/C207798031","wikidata":"https://www.wikidata.org/wiki/Q8563425","display_name":"Fisher kernel","level":5,"score":0.48160335421562195},{"id":"https://openalex.org/C16171025","wikidata":"https://www.wikidata.org/wiki/Q863349","display_name":"Singularity","level":2,"score":0.47553253173828125},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4716324508190155},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46744880080223083},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.465329110622406},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.46134310960769653},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41300058364868164},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.2683306336402893},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26793816685676575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2581544518470764},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.06437250971794128},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-540-45179-2_73","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-45179-2_73","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W7299809","https://openalex.org/W1761337995","https://openalex.org/W1963631516","https://openalex.org/W1974097586","https://openalex.org/W1985809919","https://openalex.org/W2012352340","https://openalex.org/W2035354907","https://openalex.org/W2040179990","https://openalex.org/W2040799517","https://openalex.org/W2046649434","https://openalex.org/W2068222852","https://openalex.org/W2088900896","https://openalex.org/W2121647436","https://openalex.org/W2135346934","https://openalex.org/W2138451337","https://openalex.org/W2140054106","https://openalex.org/W2150796457","https://openalex.org/W2157621607","https://openalex.org/W2511353375","https://openalex.org/W4238240379"],"related_works":["https://openalex.org/W2538559652","https://openalex.org/W2141981133","https://openalex.org/W2162393942","https://openalex.org/W2388682444","https://openalex.org/W2025089370","https://openalex.org/W2114217318","https://openalex.org/W1589494148","https://openalex.org/W2611104390","https://openalex.org/W2093905390","https://openalex.org/W2378459598"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}