{"id":"https://openalex.org/W2748667022","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015606","title":"Use of OWA operators for feature aggregation in image classification","display_name":"Use of OWA operators for feature aggregation in image classification","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2748667022","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015606","mag":"2748667022"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5025439545","display_name":"Miguel Pagola","orcid":"https://orcid.org/0000-0003-4764-5298"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Pagola","raw_affiliation_strings":["Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043530056","display_name":"Juan I. Forcen","orcid":null},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Juan I. Forcen","raw_affiliation_strings":["Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018271540","display_name":"Edurne Barrenechea","orcid":"https://orcid.org/0000-0001-6657-948X"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Edurne Barrenechea","raw_affiliation_strings":["Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056125713","display_name":"Carlos L\u00f3pez-Molina","orcid":"https://orcid.org/0000-0002-0904-9834"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carlos Lopez-Molina","raw_affiliation_strings":["Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049375194","display_name":"Humberto Bustince","orcid":"https://orcid.org/0000-0002-1279-6195"},"institutions":[{"id":"https://openalex.org/I175051016","display_name":"Universidad P\u00fablica de Navarra (UPNA)","ror":"https://ror.org/02z0cah89","country_code":"ES","type":"education","lineage":["https://openalex.org/I175051016"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Humberto Bustince","raw_affiliation_strings":["Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad P\u00fablica de Navarra, Institute of Smart Cities, Pamplona, Spain","institution_ids":["https://openalex.org/I175051016"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1847,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5736031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9937999844551086,"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":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.9449625611305237},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8235328197479248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7277606725692749},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6981745362281799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6875052452087402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6607151627540588},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6321657299995422},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5783774852752686},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4982266426086426},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46184059977531433},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3420083820819855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3332497477531433}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.9449625611305237},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8235328197479248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7277606725692749},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6981745362281799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6875052452087402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6607151627540588},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6321657299995422},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5783774852752686},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4982266426086426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46184059977531433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3420083820819855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3332497477531433},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1521978842","https://openalex.org/W2052702105","https://openalex.org/W2060907774","https://openalex.org/W2068810791","https://openalex.org/W2090042335","https://openalex.org/W2118858186","https://openalex.org/W2119821739","https://openalex.org/W2151103935","https://openalex.org/W2151689215","https://openalex.org/W2155490028","https://openalex.org/W2155904486","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2162931300","https://openalex.org/W2296349740","https://openalex.org/W4239510810","https://openalex.org/W6677919164","https://openalex.org/W6683965311"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W2952813363","https://openalex.org/W2748667022","https://openalex.org/W3211770882","https://openalex.org/W4360783045","https://openalex.org/W2129933262","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W2010629964"],"abstract_inverted_index":{"Feature":[0],"aggregation":[1,25,73,83,121],"is":[2,122],"a":[3,38,46,49],"crucial":[4],"step":[5],"in":[6,76,94],"many":[7],"methods":[8],"of":[9,34,40,84,101,116],"image":[10,42],"classification,":[11],"like":[12],"the":[13,18,32,41,70,77,82,99,113,117],"Bag-of-Words":[14],"(BoW)":[15],"model":[16],"or":[17,48],"Convolutional":[19],"Neural":[20],"Networks":[21],"(CNN).":[22],"In":[23],"this":[24,95],"step,":[26],"usually":[27],"known":[28],"as":[29],"spatial":[30],"pooling,":[31],"descriptors":[33],"neighbouring":[35],"elements":[36],"within":[37],"region":[39],"are":[43,69],"combined":[44,54],"into":[45],"local":[47],"global":[50],"feature":[51],"vector.":[52],"The":[53],"vector":[55],"must":[56],"contain":[57],"relevant":[58,85],"information,":[59],"while":[60],"removing":[61],"irrelevant":[62],"and":[63,67,128],"confusing":[64],"details.":[65],"Maximum":[66],"average":[68,126],"most":[71],"common":[72],"functions":[74],"used":[75],"pooling":[78,127,132],"step.":[79],"To":[80],"improve":[81],"information":[86],"without":[87],"degrading":[88],"their":[89],"discriminative":[90],"power":[91],"for":[92],"classification":[93,118],"work":[96],"we":[97],"propose":[98],"use":[100],"Ordered":[102],"Weighted":[103],"operators.":[104],"We":[105],"provide":[106],"an":[107],"extensive":[108],"evaluation":[109],"that":[110,112],"shows":[111],"final":[114],"result":[115],"using":[119],"OWA":[120],"always":[123],"better":[124,129],"than":[125,130],"maximum":[131],"when":[133],"dealing":[134],"with":[135],"small":[136],"dictionary":[137],"sizes.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}