{"id":"https://openalex.org/W2138235717","doi":"https://doi.org/10.1109/ijcnn.2007.4371331","title":"A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid","display_name":"A New Minimax Probability Based Classifier Using Fuzzy Hyper-Ellipsoid","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2138235717","doi":"https://doi.org/10.1109/ijcnn.2007.4371331","mag":"2138235717"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371331","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5042607110","display_name":"Zhaohong Deng","orcid":"https://orcid.org/0000-0002-0790-6492"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Zhaohong Deng","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","School of Information Engineering, Southern Yangtze University, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Information Engineering, Southern Yangtze University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043016512","display_name":"Fu-Lai Chung","orcid":"https://orcid.org/0000-0001-5294-8168"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fu-Lai Chung","raw_affiliation_strings":["Department of Computing, Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003183751","display_name":"Shitong Wang","orcid":"https://orcid.org/0000-0002-8393-6554"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitong Wang","raw_affiliation_strings":["School of Information Engineering, Southern Yangtze University, Wuxi, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Southern Yangtze University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042607110"],"corresponding_institution_ids":["https://openalex.org/I111599522","https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.4391,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.55701254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"286","issue":null,"first_page":"2385","last_page":"2390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9929999709129333,"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":0.9929999709129333,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9829000234603882,"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/minimax","display_name":"Minimax","score":0.7832745313644409},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.7384637594223022},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6971506476402283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5486352443695068},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4852280616760254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4743056297302246},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44053131341934204},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4401571750640869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4338718354701996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4227520227432251},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4142743647098541}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7832745313644409},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.7384637594223022},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6971506476402283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5486352443695068},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4852280616760254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4743056297302246},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44053131341934204},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4401571750640869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4338718354701996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4227520227432251},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4142743647098541},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371331","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/11054","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/11054","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W624054654","https://openalex.org/W1972284617","https://openalex.org/W2004241089","https://openalex.org/W2024495121","https://openalex.org/W2054373203","https://openalex.org/W2061293389","https://openalex.org/W2084812512","https://openalex.org/W2100294832","https://openalex.org/W2108067579","https://openalex.org/W2109363337","https://openalex.org/W2119320253","https://openalex.org/W2129541942","https://openalex.org/W2137476312","https://openalex.org/W2151833442","https://openalex.org/W2152813753","https://openalex.org/W2156213105","https://openalex.org/W2156246479","https://openalex.org/W2493386833","https://openalex.org/W2612380938","https://openalex.org/W4285719527","https://openalex.org/W6677891154","https://openalex.org/W6679380049","https://openalex.org/W6682791397","https://openalex.org/W7024225124"],"related_works":["https://openalex.org/W1986006778","https://openalex.org/W2005485125","https://openalex.org/W2390718407","https://openalex.org/W2016058626","https://openalex.org/W2085363807","https://openalex.org/W2474724840","https://openalex.org/W2034124193","https://openalex.org/W2379017606","https://openalex.org/W2941765012","https://openalex.org/W2171970890"],"abstract_inverted_index":{"In":[0,77],"this":[1],"paper,":[2],"a":[3,116],"new":[4],"classifier":[5,107],"called":[6],"minimax-probability":[7],"based":[8,24,40],"fuzzy":[9],"hyper-ellipsoid":[10],"machine":[11],"(MP-FHM)":[12],"is":[13,108,115],"proposed.":[14],"It":[15],"offers":[16],"an":[17,34],"alternative":[18],"implementation":[19],"of":[20,37,53],"the":[21,38,43,50,60,79,101,105,111],"minimax":[22],"probability":[23],"classification":[25,90,119],"with":[26,110],"hyper":[27],"plane":[28],"and":[29,48,65,84,100,114],"can":[30,55,70,81],"be":[31,56,72,82],"taken":[32],"as":[33],"extended":[35],"version":[36],"ball-model":[39],"classifier.":[41],"By":[42],"theorem":[44],"proposed":[45,106],"by":[46],"Marshall":[47],"Qlkin,":[49],"training":[51],"procedure":[52],"MP-FHM":[54,80],"transformed":[57],"into":[58],"solving":[59],"corresponding":[61],"unconstrained":[62],"optimization":[63,68],"problems,":[64],"thereby":[66],"various":[67],"techniques":[69],"easily":[71],"adopted":[73],"to":[74],"solve":[75],"them.":[76],"addition,":[78],"kernelized,":[83],"therefore":[85],"it":[86],"has":[87],"strong":[88],"nonlinear":[89],"capabilities":[91],"like":[92],"other":[93],"kernel-based":[94],"classifiers.":[95],"Various":[96],"experiments":[97],"were":[98],"conducted":[99],"results":[102],"demonstrate":[103],"that":[104],"competitive":[109],"state-of-the-art":[112],"classifiers":[113],"very":[117],"promising":[118],"method.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
