{"id":"https://openalex.org/W1969204685","doi":"https://doi.org/10.1007/s10994-009-5125-7","title":"Semi-supervised local Fisher discriminant analysis for\u00a0dimensionality reduction","display_name":"Semi-supervised local Fisher discriminant analysis for\u00a0dimensionality reduction","publication_year":2009,"publication_date":"2009-07-10","ids":{"openalex":"https://openalex.org/W1969204685","doi":"https://doi.org/10.1007/s10994-009-5125-7","mag":"1969204685"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-009-5125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-009-5125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-009-5125-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-009-5125-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072744508","display_name":"Masashi Sugiyama","orcid":"https://orcid.org/0000-0001-6658-6743"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masashi Sugiyama","raw_affiliation_strings":["Department of Computer Science, Tokyo Institute of Technology, 2-12-2 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan","Department of Computer Science, Tokyo Institute of Technology, Meguro-ku, Japan 152-8552#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, 2-12-2 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Department of Computer Science, Tokyo Institute of Technology, Meguro-ku, Japan 152-8552#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022048163","display_name":"Tsuyoshi Id\u00e9","orcid":"https://orcid.org/0000-0001-8993-2776"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210145865","display_name":"IBM Research - Tokyo","ror":"https://ror.org/04915qk43","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145865"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Id\u00e9","raw_affiliation_strings":["IBM Research, Tokyo Research Laboratory, 1623-14 Shimo-tsuruma, Yamato-shi, Kanagawa, 242-8502, Japan","IBM Research, Tokyo Research Laboratory, Yamato-shi, Japan 242-8502#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Research, Tokyo Research Laboratory, 1623-14 Shimo-tsuruma, Yamato-shi, Kanagawa, 242-8502, Japan","institution_ids":["https://openalex.org/I4210145865"]},{"raw_affiliation_string":"IBM Research, Tokyo Research Laboratory, Yamato-shi, Japan 242-8502#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034738514","display_name":"Shinichi Nakajima","orcid":"https://orcid.org/0000-0003-3970-4569"},"institutions":[{"id":"https://openalex.org/I122368001","display_name":"Nikon (United States)","ror":"https://ror.org/0280y9h11","country_code":"US","type":"company","lineage":["https://openalex.org/I122368001","https://openalex.org/I4210106587"]},{"id":"https://openalex.org/I4210106587","display_name":"Nikon (Japan)","ror":"https://ror.org/01bvqg661","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210106587"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Shinichi Nakajima","raw_affiliation_strings":["Nikon Corporation, 201-9 Oaza-Miizugahara, Kumagaya-shi, Saitama, 360-8559, Japan","Nikon Corporation, Kumagaya-shi, Japan 360-8559#TAB#"],"affiliations":[{"raw_affiliation_string":"Nikon Corporation, 201-9 Oaza-Miizugahara, Kumagaya-shi, Saitama, 360-8559, Japan","institution_ids":["https://openalex.org/I4210106587"]},{"raw_affiliation_string":"Nikon Corporation, Kumagaya-shi, Japan 360-8559#TAB#","institution_ids":["https://openalex.org/I122368001"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022912020","display_name":"Jun Sese","orcid":"https://orcid.org/0000-0003-3495-4382"},"institutions":[{"id":"https://openalex.org/I114030911","display_name":"Otsuka (Japan)","ror":"https://ror.org/013k5y296","country_code":"JP","type":"company","lineage":["https://openalex.org/I114030911"]},{"id":"https://openalex.org/I26120043","display_name":"Ochanomizu University","ror":"https://ror.org/03599d813","country_code":"JP","type":"education","lineage":["https://openalex.org/I26120043"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Sese","raw_affiliation_strings":["Department of Information Science, Ochanomizu University, 2-1-1 Otsuka, Bunkyo, Tokyo, 112-8610, Japan","Department of Information Science, Ochanomizu University, Bunkyo, Japan 112-8610#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information Science, Ochanomizu University, 2-1-1 Otsuka, Bunkyo, Tokyo, 112-8610, Japan","institution_ids":["https://openalex.org/I26120043","https://openalex.org/I114030911"]},{"raw_affiliation_string":"Department of Information Science, Ochanomizu University, Bunkyo, Japan 112-8610#TAB#","institution_ids":["https://openalex.org/I26120043"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072744508"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":15.7459,"has_fulltext":true,"cited_by_count":261,"citation_normalized_percentile":{"value":0.99266043,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"78","issue":"1-2","first_page":"35","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9731000065803528,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9577000141143799,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8464852571487427},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8354294300079346},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7627217769622803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7089701294898987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987106204032898},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5564205050468445},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5351003408432007},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.5174175500869751},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5116872787475586},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5106015801429749},{"id":"https://openalex.org/keywords/optimal-discriminant-analysis","display_name":"Optimal discriminant analysis","score":0.4526994228363037},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.43528464436531067},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4305015504360199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4298434853553772},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4000503420829773},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12515506148338318}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8464852571487427},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8354294300079346},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7627217769622803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7089701294898987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987106204032898},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5564205050468445},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5351003408432007},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.5174175500869751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5116872787475586},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5106015801429749},{"id":"https://openalex.org/C104500394","wikidata":"https://www.wikidata.org/wiki/Q17104912","display_name":"Optimal discriminant analysis","level":3,"score":0.4526994228363037},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.43528464436531067},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4305015504360199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4298434853553772},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4000503420829773},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12515506148338318},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-009-5125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-009-5125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-009-5125-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-009-5125-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-009-5125-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-009-5125-7.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G12401395","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320327431","display_name":"Tateishi Science and Technology Foundation","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1969204685.pdf","grobid_xml":"https://content.openalex.org/works/W1969204685.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W189742998","https://openalex.org/W1479807131","https://openalex.org/W1485321296","https://openalex.org/W1486401986","https://openalex.org/W1490308602","https://openalex.org/W1511160855","https://openalex.org/W1516503742","https://openalex.org/W1522512418","https://openalex.org/W1540007258","https://openalex.org/W1540550673","https://openalex.org/W1564277727","https://openalex.org/W1578099820","https://openalex.org/W1596981350","https://openalex.org/W1604792744","https://openalex.org/W1770825568","https://openalex.org/W1816257748","https://openalex.org/W1835509607","https://openalex.org/W1986280275","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2017337590","https://openalex.org/W2032536435","https://openalex.org/W2034368206","https://openalex.org/W2046649434","https://openalex.org/W2053186076","https://openalex.org/W2080322700","https://openalex.org/W2085536277","https://openalex.org/W2097308346","https://openalex.org/W2100495367","https://openalex.org/W2104290444","https://openalex.org/W2104752854","https://openalex.org/W2106053110","https://openalex.org/W2109531142","https://openalex.org/W2113043986","https://openalex.org/W2117154949","https://openalex.org/W2121921208","https://openalex.org/W2127713198","https://openalex.org/W2130556178","https://openalex.org/W2131479089","https://openalex.org/W2135346934","https://openalex.org/W2140095548","https://openalex.org/W2144935315","https://openalex.org/W2145450006","https://openalex.org/W2148694408","https://openalex.org/W2151850920","https://openalex.org/W2152322845","https://openalex.org/W2154872931","https://openalex.org/W2162651021","https://openalex.org/W2163406054","https://openalex.org/W2163584563","https://openalex.org/W2184179413","https://openalex.org/W2296319761","https://openalex.org/W2595697910","https://openalex.org/W2612972698","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W4214585779","https://openalex.org/W4250589301","https://openalex.org/W4285719527","https://openalex.org/W4292023222","https://openalex.org/W6628746421","https://openalex.org/W6629057494","https://openalex.org/W6634702315","https://openalex.org/W6638258969","https://openalex.org/W6675655370","https://openalex.org/W6676236601","https://openalex.org/W6680962578","https://openalex.org/W6682541512","https://openalex.org/W6682644385","https://openalex.org/W6986839675","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2063246903","https://openalex.org/W2141981133","https://openalex.org/W2375208160","https://openalex.org/W2350751952","https://openalex.org/W1999647744","https://openalex.org/W1984472287","https://openalex.org/W2113920489","https://openalex.org/W1534459252","https://openalex.org/W2044228987","https://openalex.org/W2128307858"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":28},{"year":2016,"cited_by_count":20},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":25},{"year":2013,"cited_by_count":20},{"year":2012,"cited_by_count":25}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}