{"id":"https://openalex.org/W2108473049","doi":"https://doi.org/10.1109/icpr.2008.4761279","title":"Locality preserving multi-nominal logistic regression","display_name":"Locality preserving multi-nominal logistic regression","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2108473049","doi":"https://doi.org/10.1109/icpr.2008.4761279","mag":"2108473049"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761279","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","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/A5101706262","display_name":"Kenji Watanabe","orcid":"https://orcid.org/0000-0003-3701-8119"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenji Watanabe","raw_affiliation_strings":["Department of Computer Science, Graduate School of Systems and Information Engineering University of Tsukuba"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Graduate School of Systems and Information Engineering University of Tsukuba","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086456461","display_name":"Takio Kurita","orcid":"https://orcid.org/0000-0003-3982-6750"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takio Kurita","raw_affiliation_strings":["National Institute for Advanced Industrial Science and Technology","National Institute of Advanced Industrial Science and Technology (AIST)"],"affiliations":[{"raw_affiliation_string":"National Institute for Advanced Industrial Science and Technology","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Advanced Industrial Science and Technology (AIST)","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101706262"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.8393,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.62228117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9897000193595886,"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/T12676","display_name":"Machine Learning and ELM","score":0.9855999946594238,"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/locality","display_name":"Locality","score":0.8660353422164917},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6809681057929993},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5956595540046692},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5596731901168823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5588536858558655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5581912994384766},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5065335035324097},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4820740818977356},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.4669892191886902},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44125843048095703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3610314130783081},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34524279832839966},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26122453808784485}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.8660353422164917},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6809681057929993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5956595540046692},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5596731901168823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5588536858558655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5581912994384766},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5065335035324097},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4820740818977356},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.4669892191886902},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44125843048095703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3610314130783081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34524279832839966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26122453808784485},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2008.4761279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761279","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2096572037","https://openalex.org/W2117553576","https://openalex.org/W2119464071","https://openalex.org/W2150579376","https://openalex.org/W2153635508","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2166218246","https://openalex.org/W3120740533","https://openalex.org/W6677950568","https://openalex.org/W6682644385","https://openalex.org/W6682755970","https://openalex.org/W6684629587"],"related_works":["https://openalex.org/W2747895175","https://openalex.org/W2614669534","https://openalex.org/W2104406636","https://openalex.org/W2123014508","https://openalex.org/W2105512057","https://openalex.org/W4252625449","https://openalex.org/W3131201603","https://openalex.org/W2115788596","https://openalex.org/W4387784741","https://openalex.org/W2741028958"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"algorithm":[7,52],"of":[8,28],"multi-nominal":[9,78],"logistic":[10,79],"regression":[11],"in":[12,35,61],"which":[13],"the":[14,25,29,36,42,50,58,76],"locality":[15,21],"regularization":[16],"term":[17],"is":[18,22,33],"introduced.":[19],"The":[20,65],"defined":[23],"by":[24],"neighborhood":[26],"information":[27],"data":[30],"set":[31],"and":[32],"preserved":[34],"mapped":[37],"feature":[38],"space.":[39],"By":[40],"using":[41],"standard":[43],"benchmark":[44],"datasets,":[45],"it":[46],"was":[47],"shown":[48],"that":[49],"proposed":[51],"gave":[53],"higher":[54],"recognition":[55,66],"rates":[56,67],"than":[57,75],"linear":[59],"SVM":[60],"binary":[62],"classification":[63,70],"problems.":[64],"for":[68],"multi-class":[69],"problem":[71],"were":[72],"also":[73],"better":[74],"general":[77],"regression.":[80]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}