{"id":"https://openalex.org/W1684874440","doi":"https://doi.org/10.1109/ijcnn.2003.1223741","title":"Submodular neural network is better than modular neural network and support vector machines for personal verification","display_name":"Submodular neural network is better than modular neural network and support vector machines for personal verification","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W1684874440","doi":"https://doi.org/10.1109/ijcnn.2003.1223741","mag":"1684874440"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/A5015695732","display_name":"Takashi Nagano","orcid":"https://orcid.org/0000-0003-4531-4401"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Nagano","raw_affiliation_strings":["Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","[Fac. of Eng., Hosei Univ., Koganei, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"[Fac. of Eng., Hosei Univ., Koganei, Japan]","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022808037","display_name":"Makoto Hirahara","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Hirahara","raw_affiliation_strings":["Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","[Fac. of Eng., Hosei Univ., Koganei, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"[Fac. of Eng., Hosei Univ., Koganei, Japan]","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047242310","display_name":"Hideaki Eguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Eguchi","raw_affiliation_strings":["Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","[Fac. of Eng., Hosei Univ., Koganei, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Hosei University, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"[Fac. of Eng., Hosei Univ., Koganei, Japan]","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07858765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2152","last_page":"2156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9923999905586243,"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":0.9923999905586243,"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/modular-design","display_name":"Modular design","score":0.8575940132141113},{"id":"https://openalex.org/keywords/modular-neural-network","display_name":"Modular neural network","score":0.8276614546775818},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7893643975257874},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7493004202842712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6664566993713379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096883773803711},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.487724632024765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.341383695602417},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.2222919464111328},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.091819167137146}],"concepts":[{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.8575940132141113},{"id":"https://openalex.org/C2781121602","wikidata":"https://www.wikidata.org/wiki/Q3504403","display_name":"Modular neural network","level":4,"score":0.8276614546775818},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7893643975257874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7493004202842712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664566993713379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096883773803711},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.487724632024765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.341383695602417},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2222919464111328},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.091819167137146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223741","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W169672057","https://openalex.org/W2146615496","https://openalex.org/W2148603752","https://openalex.org/W2400937659","https://openalex.org/W6606834961"],"related_works":["https://openalex.org/W1558201422","https://openalex.org/W2281615551","https://openalex.org/W2317332738","https://openalex.org/W2022575851","https://openalex.org/W2367028704","https://openalex.org/W794512309","https://openalex.org/W14051135","https://openalex.org/W2541635150","https://openalex.org/W575330181","https://openalex.org/W2789838507"],"abstract_inverted_index":{"A":[0],"sub-modular":[1],"neural":[2,16],"network":[3,17],"(SMNN)":[4],"proposed":[5],"a":[6],"few":[7],"years":[8],"ago":[9],"is":[10,75],"compared":[11],"with":[12],"the":[13,54,60,83],"usual":[14],"modular":[15],"(MNN)":[18],"and":[19,42],"support":[20],"vector":[21],"machines":[22],"(SVM)":[23],"in":[24,50,66,95],"terms":[25],"of":[26,48],"pattern":[27],"recognition":[28,62],"performance.":[29],"Some":[30],"computer":[31],"simulation":[32],"results":[33,70],"showed":[34],"that":[35,56,73],"SMNN":[36,74],"was":[37],"much":[38],"superior":[39],"to":[40],"MNN":[41],"SVM":[43],"as":[44,86],"for":[45,64,78,93],"rejection":[46,91],"rates":[47,63],"patterns":[49,65,94],"unlearned":[51,96],"classes":[52],"under":[53],"condition":[55],"they":[57],"gave":[58],"almost":[59],"same":[61],"learned":[67],"classes.":[68,97],"These":[69],"strongly":[71],"suggest":[72],"more":[76],"suitable":[77],"personal":[79],"verification":[80],"systems":[81,88],"than":[82],"other":[84],"two":[85],"such":[87],"require":[89],"high":[90],"rate":[92]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
