{"id":"https://openalex.org/W2110723357","doi":"https://doi.org/10.1007/3-540-45014-9_11","title":"Combining Fisher Linear Discriminants for Dissimilarity Representations","display_name":"Combining Fisher Linear Discriminants for Dissimilarity Representations","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2110723357","doi":"https://doi.org/10.1007/3-540-45014-9_11","mag":"2110723357"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-45014-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_11","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/A5084835631","display_name":"El\u017cbieta P\u0119kalska","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"El\u017cbieta P\u0119kalska","raw_affiliation_strings":["Delft University of Technology,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072002887","display_name":"Marina Skurichina","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marina Skurichina","raw_affiliation_strings":["Pattern Recognition Group, Department of Applied Physics,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands","Delft University of Technology,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Group, Department of Applied Physics,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109106696","display_name":"Robert P. W. Duin","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Robert P. W. Duin","raw_affiliation_strings":["Pattern Recognition Group, Department of Applied Physics,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands","Delft University of Technology,,,,,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition Group, Department of Applied Physics,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Delft University of Technology,,,,,","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7674,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72963605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9980000257492065,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"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":0.735008716583252},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7014577388763428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728833913803101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.646933913230896},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6229867339134216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6132749915122986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.561367928981781},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.5518655180931091},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49878931045532227},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4916456341743469},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4901922345161438},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4867691993713379},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.43894678354263306},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.4162610173225403},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41506022214889526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2773258090019226},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13155820965766907}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.735008716583252},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7014577388763428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728833913803101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.646933913230896},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6229867339134216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6132749915122986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.561367928981781},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.5518655180931091},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49878931045532227},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4916456341743469},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4901922345161438},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4867691993713379},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.43894678354263306},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.4162610173225403},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41506022214889526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2773258090019226},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13155820965766907},{"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/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/3-540-45014-9_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-45014-9_11","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.28.7377","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.7377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ph.tn.tudelft.nl/People/bob/papers/mcs_00_dissrep.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/c5082b62-4c01-4011-91d9-7c64e1e3e1e9","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/c5082b62-4c01-4011-91d9-7c64e1e3e1e9","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pekalska, E, P\u0229kalska, E, Skurichina, M & Duin, R P W 2000, Combining fisher linear discriminants for dissimilarity representations. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 1857, Lecture Notes in Computer Science, Springer Nature, pp. 117-126, 1st International Workshop on Multiple Classifier Systems, MCS 2000, Cagliari, 1/07/00. < http://dblp.uni-trier.de/db/conf/mcs/mcs2000.html#PekalskaSD00 >","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/c5082b62-4c01-4011-91d9-7c64e1e3e1e9","is_oa":false,"landing_page_url":"http://dblp.uni-trier.de/db/conf/mcs/mcs2000.html#PekalskaSD00","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Pekalska, E, P\u0229kalska, E, Skurichina, M & Duin, R P W 2000, Combining fisher linear discriminants for dissimilarity representations. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 1857, Lecture Notes in Computer Science, Springer Nature, pp. 117-126, 1st International Workshop on Multiple Classifier Systems, MCS 2000, Cagliari, 1/07/00. < http://dblp.uni-trier.de/db/conf/mcs/mcs2000.html#PekalskaSD00 >","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W7299809","https://openalex.org/W1486484638","https://openalex.org/W1497310198","https://openalex.org/W1770825568","https://openalex.org/W1999772635","https://openalex.org/W2049235942","https://openalex.org/W2096709136","https://openalex.org/W2112076978","https://openalex.org/W2113242816","https://openalex.org/W2119821739","https://openalex.org/W2135346934","https://openalex.org/W2135807716","https://openalex.org/W2145277351","https://openalex.org/W2912934387","https://openalex.org/W4250689175","https://openalex.org/W6808111085","https://openalex.org/W6821113053"],"related_works":["https://openalex.org/W1963649114","https://openalex.org/W2538559652","https://openalex.org/W1978302214","https://openalex.org/W2162393942","https://openalex.org/W2068218029","https://openalex.org/W3147024994","https://openalex.org/W1741177776","https://openalex.org/W2025089370","https://openalex.org/W1984472287","https://openalex.org/W2022977822"],"abstract_inverted_index":null,"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}