{"id":"https://openalex.org/W2152868527","doi":"https://doi.org/10.1109/ijcnn.2004.1379893","title":"Efficient off-line feature selection strategies for on-line classifier systems","display_name":"Efficient off-line feature selection strategies for on-line classifier systems","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2152868527","doi":"https://doi.org/10.1109/ijcnn.2004.1379893","mag":"2152868527"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5059516633","display_name":"D. B\u00e1lya","orcid":null},"institutions":[{"id":"https://openalex.org/I198412221","display_name":"HUN-REN Institute for Nuclear Research","ror":"https://ror.org/006vxbq87","country_code":"HU","type":"facility","lineage":["https://openalex.org/I198412221","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"D. Balya","raw_affiliation_strings":["AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary","institution_ids":["https://openalex.org/I7597260","https://openalex.org/I198412221","https://openalex.org/I4210117195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057033980","display_name":"G. T\u00edm\u00e1r","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I198412221","display_name":"HUN-REN Institute for Nuclear Research","ror":"https://ror.org/006vxbq87","country_code":"HU","type":"facility","lineage":["https://openalex.org/I198412221","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"G. Timar","raw_affiliation_strings":["AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary","institution_ids":["https://openalex.org/I7597260","https://openalex.org/I198412221","https://openalex.org/I4210117195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000513924","display_name":"Istv\u00e1n Szatm\u00e1ri","orcid":"https://orcid.org/0000-0002-8571-5229"},"institutions":[{"id":"https://openalex.org/I198412221","display_name":"HUN-REN Institute for Nuclear Research","ror":"https://ror.org/006vxbq87","country_code":"HU","type":"facility","lineage":["https://openalex.org/I198412221","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"I. Szatmari","raw_affiliation_strings":["AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary","institution_ids":["https://openalex.org/I7597260","https://openalex.org/I198412221","https://openalex.org/I4210117195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110096202","display_name":"C. Rekeczky","orcid":null},"institutions":[{"id":"https://openalex.org/I198412221","display_name":"HUN-REN Institute for Nuclear Research","ror":"https://ror.org/006vxbq87","country_code":"HU","type":"facility","lineage":["https://openalex.org/I198412221","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Cs. Rekeczky","raw_affiliation_strings":["AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"AnaLogic and Neural Computing Systems Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary","institution_ids":["https://openalex.org/I7597260","https://openalex.org/I198412221","https://openalex.org/I4210117195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059516633"],"corresponding_institution_ids":["https://openalex.org/I198412221","https://openalex.org/I4210117195","https://openalex.org/I7597260"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19882502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"171","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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/T10320","display_name":"Neural Networks and Applications","score":0.982200026512146,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7689682245254517},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.712045431137085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6641390323638916},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6069112420082092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5803685188293457},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5276554822921753},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4704001843929291},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4514264166355133},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4495398998260498},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43683061003685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42526814341545105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09473049640655518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689682245254517},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.712045431137085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6641390323638916},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6069112420082092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5803685188293457},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5276554822921753},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4704001843929291},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4514264166355133},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4495398998260498},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43683061003685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42526814341545105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09473049640655518},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2004.1379893","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.sztaki.hu:3747","is_oa":false,"landing_page_url":"http://eprints.sztaki.hu/3747/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"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 or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1493775511","https://openalex.org/W1496662715","https://openalex.org/W1570173134","https://openalex.org/W1594031697","https://openalex.org/W1977496278","https://openalex.org/W1978642943","https://openalex.org/W1992419399","https://openalex.org/W1998095641","https://openalex.org/W2317434326","https://openalex.org/W2330820318","https://openalex.org/W2999729612","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W106004901","https://openalex.org/W2170062176","https://openalex.org/W945324584","https://openalex.org/W4206911031","https://openalex.org/W2316648939"],"abstract_inverted_index":{"In":[0,20,102],"this":[1,103],"work":[2],"we":[3,105],"discuss":[4,138],"feature/signature":[5],"selection":[6,109,126,140],"strategies":[7,110],"for":[8,32,111],"on-line":[9],"classifier":[10],"systems,":[11],"implemented":[12],"on":[13],"a":[14,59,96,133],"common":[15],"stand-alone":[16],"HW/SW":[17],"vision":[18],"system.":[19],"the":[21,33,44,83,86],"chosen":[22],"computational":[23],"environment":[24],"topographic":[25,41],"and":[26,70,118,132,144],"non-topographic":[27],"computing":[28],"can":[29,99],"be":[30,73,91,100],"combined":[31],"targeted":[34],"task":[35],"of":[36,43,48,85],"terrain":[37],"feature":[38,63],"analysis.":[39,135],"The":[40],"front-end":[42],"system":[45],"is":[46],"capable":[47],"deriving":[49],"more":[50],"than":[51],"thousand":[52],"different":[53,107],"visual":[54,62],"signatures":[55,66,98],"per":[56],"second":[57],"from":[58],"few":[60,97],"dozen":[61],"channels.":[64],"These":[65],"are":[67,128],"statistically":[68],"correlated":[69],"might":[71],"also":[72,137],"computationally":[74],"inter-dependent.":[75],"To":[76],"develop":[77],"an":[78],"efficient":[79],"real-time":[80],"classification":[81],"algorithm":[82],"dimensionality":[84],"extracted":[87],"features":[88],"has":[89],"to":[90],"significantly":[92],"reduced,":[93],"i.e.":[94],"only":[95],"selected.":[101],"paper":[104],"analyze":[106],"signature":[108,125],"various":[112],"classifiers":[113],"with":[114],"given":[115],"performance":[116,121],"criteria":[117],"system-level":[119],"time":[120],"constraints.":[122],"Two":[123],"blind":[124],"techniques":[127],"described:":[129],"variance":[130],"maximization":[131],"factor-based":[134],"We":[136],"supervised":[139],"mechanisms:":[141],"class-based":[142],"statistical":[143],"decision-tree-based":[145],"approaches.":[146]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
