{"id":"https://openalex.org/W2557032010","doi":"https://doi.org/10.1109/ijcnn.2016.7727779","title":"Complex-valued online classifier","display_name":"Complex-valued online classifier","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557032010","doi":"https://doi.org/10.1109/ijcnn.2016.7727779","mag":"2557032010"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","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/A5062719246","display_name":"Masaya Ishikawa","orcid":"https://orcid.org/0000-0003-1586-3469"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaya Ishikawa","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018767527","display_name":"Kazuyuki Murase","orcid":"https://orcid.org/0000-0002-2358-995X"},"institutions":[{"id":"https://openalex.org/I111966504","display_name":"University of Fukui","ror":"https://ror.org/00msqp585","country_code":"JP","type":"education","lineage":["https://openalex.org/I111966504"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyuki Murase","raw_affiliation_strings":["Graduate School of Engineering, University of Fukui, Fukui, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, University of Fukui, Fukui, Japan","institution_ids":["https://openalex.org/I111966504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062719246"],"corresponding_institution_ids":["https://openalex.org/I111966504"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12814876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"4431","last_page":"4437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.995199978351593,"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":0.995199978351593,"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":0.9921000003814697,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.8583489656448364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7185584902763367},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6529985666275024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6112054586410522},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5846929550170898},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.511916995048523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4761778712272644},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.41662395000457764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4142954349517822},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4119921922683716},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.30552124977111816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2757166624069214}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.8583489656448364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7185584902763367},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6529985666275024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6112054586410522},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5846929550170898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.511916995048523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4761778712272644},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.41662395000457764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4142954349517822},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4119921922683716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30552124977111816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2757166624069214},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1507342598","https://openalex.org/W1572771420","https://openalex.org/W1966771059","https://openalex.org/W1978524241","https://openalex.org/W2040870580","https://openalex.org/W2104554891","https://openalex.org/W2122537498","https://openalex.org/W2130975838","https://openalex.org/W2160218441","https://openalex.org/W3009009611","https://openalex.org/W4239510810","https://openalex.org/W6641990611","https://openalex.org/W6661094998","https://openalex.org/W6675682377","https://openalex.org/W6683584131"],"related_works":["https://openalex.org/W2384390720","https://openalex.org/W2297694731","https://openalex.org/W4253128984","https://openalex.org/W2539940072","https://openalex.org/W206493657","https://openalex.org/W1964081096","https://openalex.org/W2122277321","https://openalex.org/W1501134308","https://openalex.org/W2367262922","https://openalex.org/W2769345709"],"abstract_inverted_index":{"In":[0,75],"order":[1],"to":[2,39,48,71,84,225],"improve":[3],"the":[4,8,40,51,58,85,102,107,111,115,120,129,140,144,148,155,161,183,185,189,201,206],"identification":[5,141,186],"accuracy":[6,142],"of":[7,31,54,66,89,101,143,188],"online":[9,19,32,145,190,215],"classifier":[10,146,191],"in":[11,28,212],"binary":[12],"classification":[13],"problems,":[14],"we":[15,36,159],"here":[16,126,209],"propose":[17],"complex-valued":[18,130,214],"machine":[20,33],"learning":[21],"algorithms.":[22,204],"The":[23,43,61,98,133],"Perceptron":[24,131],"is":[25,82,104,210],"commonly":[26],"used":[27,208],"simple":[29,211],"form":[30],"learning.":[34],"First,":[35],"extended":[37],"it":[38,128],"complex":[41,59,96],"domain.":[42],"real-valued":[44,79],"inputs":[45,67],"are":[46,68,92,123],"projected":[47],"points":[49],"on":[50,57,94,135],"first":[52],"quarter":[53],"unit":[55],"circle":[56],"plane.":[60,97],"real":[62],"and":[63,110,169,179,220],"imaginary":[64],"parts":[65],"fed":[69],"separately":[70],"two":[72,90],"different":[73],"Perceptrons.":[74],"each":[76],"Perceptron,":[77],"a":[78,95],"weight":[80,121],"vector":[81],"applied":[83,224],"input":[86],"vector.":[87],"Outputs":[88],"Perceptrons":[91],"plotted":[93],"upper":[99],"half":[100,113],"plane":[103],"considered":[105],"as":[106,114,165,167],"class":[108,116],"1":[109],"lower":[112],"-1.":[117],"If":[118],"misclassified,":[119],"vectors":[122],"modified.":[124],"We":[125,174],"term":[127,175],"(CP).":[132],"results":[134],"some":[136],"benchmarks":[137],"showed":[138],"that":[139,153],"with":[147,154,171,192,200],"CP":[149,207],"was":[150,196],"higher":[151,197],"than":[152,198],"conventional":[156,202],"Perceptron.":[157],"Secondly,":[158],"adopted":[160],"Passive-Aggressive":[162],"(PA)":[163],"algorithm,":[164],"well":[166],"PA-I":[168],"PA-II":[170],"noise":[172],"immunity.":[173],"them":[176],"CPA,":[177,218],"CPA-I":[178,219],"CPA-II,":[180,221],"respectively.":[181],"For":[182],"benchmarks,":[184],"accuracies":[187],"these":[193],"PA":[194,203],"algorithms":[195],"those":[199],"Since":[205],"principle,":[213],"classifiers,":[216],"CP,":[217],"can":[222],"be":[223],"various":[226],"practical":[227],"problems.":[228]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}