{"id":"https://openalex.org/W3105085168","doi":"https://doi.org/10.1109/tim.2018.2863438","title":"Deep Nearest Class Mean Model for Incremental Odor Classification","display_name":"Deep Nearest Class Mean Model for Incremental Odor Classification","publication_year":2018,"publication_date":"2018-08-22","ids":{"openalex":"https://openalex.org/W3105085168","doi":"https://doi.org/10.1109/tim.2018.2863438","mag":"3105085168"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2863438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.02328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022741226","display_name":"Yu Cheng","orcid":"https://orcid.org/0000-0001-6717-5727"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Cheng","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029890737","display_name":"Kin-Yeung Wong","orcid":"https://orcid.org/0000-0002-3484-8785"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kin-Yeung Wong","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051376589","display_name":"Kevin Hung","orcid":"https://orcid.org/0000-0002-5421-7622"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kevin Hung","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101964327","display_name":"Weitong Li","orcid":"https://orcid.org/0000-0002-3219-5207"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitong Li","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100742444","display_name":"Zhizhong Li","orcid":"https://orcid.org/0000-0002-2080-0713"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Li","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433227","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0002-9647-0941"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["School of Information Engineering, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.813,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":13,"citation_normalized_percentile":{"value":0.678286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"68","issue":"4","first_page":"952","last_page":"962"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9999,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9969,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9933,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.79293907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7799999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.69071025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.60138667},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5941208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5780137},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5314174},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5308365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4673745},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2863438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1801.02328","pdf_url":"https://arxiv.org/pdf/1801.02328","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.1801.02328","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1801.02328","pdf_url":"https://arxiv.org/pdf/1801.02328","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61571140"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61403085"},{"funder":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province","award_id":"2016A030313703"}],"datasets":[],"versions":["https://openalex.org/W2782554850","https://openalex.org/W3105085168"],"referenced_works_count":58,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1959000896","https://openalex.org/W1968135554","https://openalex.org/W1973182741","https://openalex.org/W1992747532","https://openalex.org/W1994213117","https://openalex.org/W2007556421","https://openalex.org/W2015563892","https://openalex.org/W2022508996","https://openalex.org/W2036737027","https://openalex.org/W2051076791","https://openalex.org/W2055228459","https://openalex.org/W2059477850","https://openalex.org/W2060257057","https://openalex.org/W2061521613","https://openalex.org/W2063539606","https://openalex.org/W2068733561","https://openalex.org/W2070889999","https://openalex.org/W2072730661","https://openalex.org/W2092111137","https://openalex.org/W2097200430","https://openalex.org/W21006490","https://openalex.org/W2108598243","https://openalex.org/W2112739286","https://openalex.org/W2122922389","https://openalex.org/W2125283600","https://openalex.org/W2126950562","https://openalex.org/W2130942839","https://openalex.org/W2136391815","https://openalex.org/W2146194630","https://openalex.org/W2154382206","https://openalex.org/W2160815625","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2165698076","https://openalex.org/W2166344886","https://openalex.org/W2184045248","https://openalex.org/W2253429366","https://openalex.org/W2267727210","https://openalex.org/W2295582178","https://openalex.org/W2320138631","https://openalex.org/W2432717477","https://openalex.org/W2440023763","https://openalex.org/W2510118946","https://openalex.org/W2517537544","https://openalex.org/W2520774990","https://openalex.org/W2591924527","https://openalex.org/W2594570598","https://openalex.org/W2606436201","https://openalex.org/W2608860327","https://openalex.org/W2743316710","https://openalex.org/W2766959714","https://openalex.org/W2783957935","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2963251942","https://openalex.org/W3146003712","https://openalex.org/W4298266977"],"related_works":["https://openalex.org/W4968207","https://openalex.org/W3155832235","https://openalex.org/W2533244814","https://openalex.org/W2389617532","https://openalex.org/W2184842172","https://openalex.org/W2095641227","https://openalex.org/W2085677935","https://openalex.org/W2057749067","https://openalex.org/W2055121244","https://openalex.org/W2043360411"],"abstract_inverted_index":{"In":[0,105],"recent":[1],"years,":[2],"more":[3],"machine":[4],"learning":[5,74],"algorithms":[6,16],"have":[7],"been":[8],"applied":[9],"to":[10,90,98],"odor":[11,14,28,32,39,135],"classification.":[12],"These":[13],"classification":[15],"usually":[17],"assume":[18],"that":[19,126],"the":[20,38,72,108,127],"training":[21,46,147],"datasets":[22,40],"are":[23,41,52,121],"static.":[24],"However,":[25],"for":[26,133,138],"some":[27],"recognition":[29],"tasks,":[30],"new":[31,101,119,139],"classes":[33,51,102,120,140],"continually":[34],"emerge.":[35],"That":[36],"is,":[37],"dynamically":[42,99],"growing":[43],"while":[44],"both":[45],"samples":[47],"and":[48,76],"number":[49,145],"of":[50,146],"increasing":[53],"over":[54,103],"time.":[55,104],"Motivated":[56],"by":[57],"this":[58,60],"concern,":[59],"paper":[61],"proposes":[62],"a":[63,143],"Deep":[64],"Nearest":[65],"Class":[66],"Mean":[67],"(DNCM)":[68],"model":[69,83,110,129],"based":[70],"on":[71],"deep":[73,87,92],"framework":[75],"nearest":[77],"class":[78],"mean":[79],"method.":[80],"The":[81],"proposed":[82,128],"not":[84],"only":[85,142],"leverages":[86],"neural":[88],"network":[89],"extract":[91],"features,":[93],"but":[94],"is":[95,130],"also":[96],"able":[97],"integrate":[100],"our":[106],"experiments,":[107],"DNCM":[109],"was":[111],"initially":[112],"trained":[113],"with":[114,141],"10":[115],"classes,":[116],"then":[117],"25":[118],"integrated.":[122],"Experiment":[123],"results":[124],"demonstrate":[125],"very":[131],"efficient":[132],"incremental":[134],"classification,":[136],"especially":[137],"small":[144],"examples.":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3105085168","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2024-12-28T22:24:30.398073","created_date":"2020-11-23"}