{"id":"https://openalex.org/W1982074387","doi":"https://doi.org/10.1142/s0218001405004241","title":"MINIMAL CLASSIFICATION METHOD WITH ERROR-CORRECTING CODES FOR MULTICLASS RECOGNITION","display_name":"MINIMAL CLASSIFICATION METHOD WITH ERROR-CORRECTING CODES FOR MULTICLASS RECOGNITION","publication_year":2005,"publication_date":"2005-08-01","ids":{"openalex":"https://openalex.org/W1982074387","doi":"https://doi.org/10.1142/s0218001405004241","mag":"1982074387"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001405004241","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001405004241","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5071872412","display_name":"Dayan Manohar Sivalingam","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DAYAN MANOHAR SIVALINGAM","raw_affiliation_strings":["Machine Vision Labs, ECE Department, University of Illinois at Chicago, Chicago, Illinois 60607, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision Labs, ECE Department, University of Illinois at Chicago, Chicago, Illinois 60607, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079261037","display_name":"NARENKUMAR PANDIAN","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"NARENKUMAR PANDIAN","raw_affiliation_strings":["Machine Vision Labs, ECE Department, University of Illinois at Chicago, Chicago, Illinois 60607, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Vision Labs, ECE Department, University of Illinois at Chicago, Chicago, Illinois 60607, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028863480","display_name":"J. Ben-Arie","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"JEZEKIEL BEN-ARIE","raw_affiliation_strings":["ECE Department, M/C 154, University of Illinois at Chicago, 851 S. Morgan St., Chicago, Illinois 60607, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, M/C 154, University of Illinois at Chicago, 851 S. Morgan St., Chicago, Illinois 60607, USA","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":3.238,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9245428,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"05","first_page":"663","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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":0.9990000128746033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.7280689477920532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6914834976196289},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6454558372497559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6366245150566101},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5746864080429077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5446580648422241},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5401043891906738},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5128176808357239},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.49469467997550964},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43618834018707275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4214553236961365},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4134274423122406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3675123453140259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3309527039527893},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08136001229286194}],"concepts":[{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7280689477920532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6914834976196289},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6454558372497559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6366245150566101},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5746864080429077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5446580648422241},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5401043891906738},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5128176808357239},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.49469467997550964},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43618834018707275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4214553236961365},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4134274423122406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3675123453140259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3309527039527893},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08136001229286194},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001405004241","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001405004241","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1578772208","https://openalex.org/W1676820704","https://openalex.org/W1881452810","https://openalex.org/W2104304521","https://openalex.org/W2119821739","https://openalex.org/W2120515362","https://openalex.org/W2124351082","https://openalex.org/W2128076386","https://openalex.org/W2139212933","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4376528628","https://openalex.org/W2470590370","https://openalex.org/W1537592868","https://openalex.org/W2215801697","https://openalex.org/W3207192536","https://openalex.org/W4281721362","https://openalex.org/W1748436461","https://openalex.org/W2048532382","https://openalex.org/W2322862995","https://openalex.org/W2910954186"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,44],"develop":[4],"an":[5],"efficient":[6],"technique":[7],"to":[8,87,128],"transform":[9],"a":[10,15,95,116],"multiclass":[11],"recognition":[12],"problem":[13,19,104],"into":[14],"minimal":[16],"binary":[17,51,81],"classification":[18],"using":[20],"the":[21,35,42,60,80,97,120,129,138,153,162],"Minimal":[22],"Classification":[23],"Method":[24],"(MCM).":[25],"The":[26,147],"MCM":[27],"requires":[28,134],"only":[29,74,114,135],"log":[30],"2":[31],"N":[32],"classifications":[33,139],"whereas":[34],"other":[36],"methods":[37],"require":[38],"much":[39],"more.":[40],"For":[41],"classification,":[43,79],"use":[45],"Support":[46],"Vector":[47],"Machine":[48],"(SVM)":[49],"based":[50],"classifiers":[52,82],"since":[53],"they":[54],"have":[55,86],"superior":[56],"generalization":[57,100],"performance.":[58],"Unlike":[59],"prevalent":[61],"one-versus-one":[62,66],"strategy":[63,67],"(the":[64],"bottom-up":[65],"is":[68,105,150],"called":[69],"tournament":[70,130],"method)":[71],"that":[72],"separates":[73],"two":[75,89],"classes":[76],"at":[77],"each":[78],"in":[83,115,119,126],"our":[84,132],"method":[85,133],"separate":[88],"groups":[90],"of":[91,99,123,137,166],"multiple":[92],"classes.":[93],"As":[94],"result,":[96],"probability":[98],"error":[101,109],"increases.":[102],"This":[103],"alleviated":[106],"by":[107],"utilizing":[108],"correcting":[110],"codes,":[111],"which":[112],"results":[113],"marginal":[117],"increase":[118],"required":[121],"number":[122],"classifications.":[124],"However,":[125],"comparison":[127],"method,":[131],"50%":[136],"and":[140,168],"still":[141],"similar":[142],"performance":[143,163],"can":[144],"be":[145],"attained.":[146],"proposed":[148],"solution":[149],"tested":[151],"with":[152],"Columbia":[154],"Object":[155],"Image":[156],"Library":[157],"(COIL).":[158],"We":[159],"also":[160],"test":[161],"under":[164],"conditions":[165],"noise":[167],"occlusion.":[169]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
