{"id":"https://openalex.org/W2128033174","doi":"https://doi.org/10.1109/icpr.2002.1048247","title":"A supervised classification scheme using positive Boolean function","display_name":"A supervised classification scheme using positive Boolean function","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2128033174","doi":"https://doi.org/10.1109/icpr.2002.1048247","mag":"2128033174"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5110790493","display_name":"Chin\u2010Chuan Han","orcid":null},"institutions":[{"id":"https://openalex.org/I59460038","display_name":"Chung Hua University","ror":"https://ror.org/01yzz0f51","country_code":"TW","type":"education","lineage":["https://openalex.org/I59460038"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chin-Chuan Han","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I59460038"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I59460038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110790493"],"corresponding_institution_ids":["https://openalex.org/I59460038"],"apc_list":null,"apc_paid":null,"fwci":1.0677,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.79231895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"100","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9872000217437744,"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":0.9872000217437744,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9505000114440918,"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/boolean-function","display_name":"Boolean function","score":0.7851128578186035},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6928370594978333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6317405104637146},{"id":"https://openalex.org/keywords/classification-scheme","display_name":"Classification scheme","score":0.5701532363891602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5203701853752136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4675677418708801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4563891887664795},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.41550856828689575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36647480726242065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3158183991909027}],"concepts":[{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.7851128578186035},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6928370594978333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6317405104637146},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.5701532363891602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5203701853752136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4675677418708801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4563891887664795},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.41550856828689575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36647480726242065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3158183991909027},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1048247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1531459049","https://openalex.org/W2035147913","https://openalex.org/W2056242145","https://openalex.org/W2114926173","https://openalex.org/W2142250392","https://openalex.org/W2158289097","https://openalex.org/W2160432961","https://openalex.org/W2168315679","https://openalex.org/W2294663992"],"related_works":["https://openalex.org/W2035329725","https://openalex.org/W4376641153","https://openalex.org/W2070875936","https://openalex.org/W4250391473","https://openalex.org/W3045075405","https://openalex.org/W4302292679","https://openalex.org/W2956222435","https://openalex.org/W4241625287","https://openalex.org/W2050788868","https://openalex.org/W4295885776"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,68],"classifier":[4,69],"based":[5],"on":[6],"the":[7,15,35,49,52,72,77,87],"positive":[8],"Boolean":[9],"function":[10],"(PBF)":[11],"is":[12,21],"proposed":[13,91],"for":[14],"supervised":[16],"pattern":[17],"classification.":[18],"A":[19],"PBF":[20,33,61],"exactly":[22],"represented":[23],"as":[24],"one":[25],"sum-of-product":[26],"form":[27],"without":[28],"any":[29],"negative":[30],"components.":[31],"The":[32,42,59,80],"possesses":[34],"well-known":[36],"threshold":[37],"decomposition":[38],"and":[39,64],"stacking":[40],"properties.":[41],"classification":[43,73],"errors":[44,54],"can":[45],"be":[46,67],"calculated":[47],"from":[48],"summation":[50],"of":[51,89],"absolute":[53],"incurred":[55],"at":[56],"each":[57],"level.":[58],"optimal":[60],"are":[62],"found":[63],"designed":[65],"to":[66,85],"by":[70],"minimizing":[71],"error":[74],"rate":[75],"along":[76],"training":[78],"samples.":[79],"experimental":[81],"results":[82],"were":[83],"given":[84],"show":[86],"validity":[88],"our":[90],"approaches.":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}