{"id":"https://openalex.org/W2142036447","doi":"https://doi.org/10.1109/icpr.2002.1047418","title":"Probabilistic neural networks supporting multi-class relevance feedback in region-based image retrieval","display_name":"Probabilistic neural networks supporting multi-class relevance feedback in region-based image retrieval","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2142036447","doi":"https://doi.org/10.1109/icpr.2002.1047418","mag":"2142036447"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047418","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/A5035256239","display_name":"Byoung Chul Ko","orcid":"https://orcid.org/0000-0002-7284-0768"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"ByoungChul Ko","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea","[Dept. of Computer Science, Yonsei University, Seoul, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Computer Science, Yonsei University, Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110120491","display_name":"Hyeran Byun","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeran Byun","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Seoul, South Korea","[Dept. of Computer Science, Yonsei University, Seoul, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"[Dept. of Computer Science, Yonsei University, Seoul, South Korea]","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035256239"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":1.3345,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82556055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"138","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.8101961612701416},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7843418121337891},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5926806330680847},{"id":"https://openalex.org/keywords/intension","display_name":"Intension","score":0.5882817506790161},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5785390734672546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5512095093727112},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5502620935440063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5370326042175293},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.494881808757782},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47936588525772095},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47488564252853394},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.47440290451049805},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4239526391029358},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42362335324287415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4235008656978607},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4143403172492981},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37682443857192993}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101961612701416},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7843418121337891},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5926806330680847},{"id":"https://openalex.org/C61341680","wikidata":"https://www.wikidata.org/wiki/Q1923256","display_name":"Intension","level":2,"score":0.5882817506790161},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5785390734672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5512095093727112},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5502620935440063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5370326042175293},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.494881808757782},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47936588525772095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47488564252853394},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.47440290451049805},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4239526391029358},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42362335324287415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4235008656978607},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4143403172492981},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37682443857192993},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1047418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047418","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":18,"referenced_works":["https://openalex.org/W1490760466","https://openalex.org/W1524408959","https://openalex.org/W1568131066","https://openalex.org/W1607838481","https://openalex.org/W1975830550","https://openalex.org/W1977261934","https://openalex.org/W2031658972","https://openalex.org/W2100911004","https://openalex.org/W2101498401","https://openalex.org/W2106433515","https://openalex.org/W2114781295","https://openalex.org/W2115729625","https://openalex.org/W2119295297","https://openalex.org/W2144667148","https://openalex.org/W2164547069","https://openalex.org/W2169554323","https://openalex.org/W4205687621","https://openalex.org/W6631463945"],"related_works":["https://openalex.org/W1606474234","https://openalex.org/W2034539438","https://openalex.org/W2124645781","https://openalex.org/W2184057774","https://openalex.org/W2162645796","https://openalex.org/W2543381692","https://openalex.org/W1975659822","https://openalex.org/W3087943932","https://openalex.org/W2349022781","https://openalex.org/W2168747791"],"abstract_inverted_index":{"There":[0],"are":[1,17,53],"several":[2],"relevance":[3,30],"feedback":[4,31,93,137],"algorithms":[5,8],"available,":[6],"some":[7],"use":[9],"ad-hoc":[10],"heuristics":[11],"or":[12,125],"assume":[13,49],"that":[14,50],"feature":[15,51],"vectors":[16,52],"independent":[18,54],"regardless":[19],"of":[20,135,158,166],"their":[21],"correlation.":[22],"In":[23,41,66,83,106],"this":[24],"paper,":[25],"we":[26,87,139],"propose":[27],"a":[28,164],"new":[29],"algorithm":[32,143],"using":[33,163],"probabilistic":[34],"neural":[35],"networks":[36],"(PNN)":[37],"supporting":[38],"multi-class":[39],"learning.":[40],"our":[42,109,136,145,159],"approach,":[43,138],"there":[44],"is":[45,161],"no":[46],"need":[47],"to":[48,59,99,144],"and":[55,119],"it":[56,68,78],"permits":[57],"system":[58],"insert":[60],"additional":[61],"classes":[62],"for":[63,75,103],"detail":[64],"classification.":[65],"addition,":[67],"does":[69],"not":[70],"take":[71],"long":[72],"computation":[73],"time":[74],"training,":[76],"because":[77],"has":[79],"only":[80],"four":[81],"layers.":[82],"PNN's":[84],"classification":[85],"process,":[86],"keep":[88],"the":[89,101,107,113,128,133,141,154],"user's":[90,114],"entire":[91],"past":[92],"actions":[94],"as":[95],"history":[96],"in":[97,127,153],"order":[98],"improve":[100],"performance":[102,122],"future":[104],"iterations.":[105],"history,":[108],"approach":[110],"can":[111],"capture":[112],"subjective":[115],"intension":[116],"more":[117],"precisely":[118],"prevent":[120],"retrieval":[121,148],"from":[123,169],"fluctuating":[124],"degrading":[126],"next":[129],"iteration.":[130],"To":[131],"validate":[132],"effectiveness":[134],"incorporate":[140],"proposed":[142],"region-based":[146],"image":[147],"tool":[149],"FRIP":[150],"(finding":[151],"region":[152],"pictures).":[155],"The":[156],"efficacy":[157],"method":[160],"validated":[162],"set":[165],"3000":[167],"images":[168],"Corel-photo":[170],"CD.":[171]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}