{"id":"https://openalex.org/W2087653589","doi":"https://doi.org/10.1109/lsp.2014.2372073","title":"Long Term Relevance Feedback: A Probabilistic Axis Re-weighting Update Scheme","display_name":"Long Term Relevance Feedback: A Probabilistic Axis Re-weighting Update Scheme","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2087653589","doi":"https://doi.org/10.1109/lsp.2014.2372073","mag":"2087653589"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2372073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2372073","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5102935746","display_name":"A. Lakshmi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Lakshmi","raw_affiliation_strings":["Centre for artificial intelligence and robotics, Bangalore, India","Centre for artificial intelligence and robotics, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for artificial intelligence and robotics, Bangalore, India","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Centre for artificial intelligence and robotics, India","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049964049","display_name":"Malay Kumar Nema","orcid":"https://orcid.org/0000-0002-9920-3355"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Malay Nema","raw_affiliation_strings":["Centre for artificial intelligence and robotics, Bangalore, India","Centre for artificial intelligence and robotics, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for artificial intelligence and robotics, Bangalore, India","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Centre for artificial intelligence and robotics, India","institution_ids":["https://openalex.org/I4210121405"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111496659","display_name":"Subrata Rakshit","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I2799351866","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subrata Rakshit","raw_affiliation_strings":["Centre for artificial intelligence and robotics, Bangalore, India","Centre for artificial intelligence and robotics, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for artificial intelligence and robotics, Bangalore, India","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Centre for artificial intelligence and robotics, India","institution_ids":["https://openalex.org/I4210121405"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210121405"],"apc_list":null,"apc_paid":null,"fwci":1.0683,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81675434,"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":"1"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9889000058174133,"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/relevance-feedback","display_name":"Relevance feedback","score":0.9140708446502686},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7734960317611694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7649115324020386},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6631120443344116},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6590218544006348},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5102250576019287},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48388513922691345},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43379640579223633},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43236950039863586},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42673543095588684},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4261644184589386},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4129931926727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40001875162124634},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37059879302978516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3580141067504883},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14341366291046143},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13629701733589172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11294835805892944}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.9140708446502686},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7734960317611694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649115324020386},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6631120443344116},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6590218544006348},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5102250576019287},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48388513922691345},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43379640579223633},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43236950039863586},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42673543095588684},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4261644184589386},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4129931926727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40001875162124634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37059879302978516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3580141067504883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14341366291046143},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13629701733589172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11294835805892944},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2372073","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2372073","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1654865708","https://openalex.org/W1994880410","https://openalex.org/W2046235462","https://openalex.org/W2052672253","https://openalex.org/W2053596628","https://openalex.org/W2104052971","https://openalex.org/W2113981853","https://openalex.org/W2115729625","https://openalex.org/W2115885979","https://openalex.org/W2120486209","https://openalex.org/W2126688504","https://openalex.org/W2128643522","https://openalex.org/W2137354689","https://openalex.org/W2148984324","https://openalex.org/W2160550980","https://openalex.org/W2358853216","https://openalex.org/W2982361205","https://openalex.org/W6675354903","https://openalex.org/W6678575236","https://openalex.org/W6706886769"],"related_works":["https://openalex.org/W1986056603","https://openalex.org/W2034539438","https://openalex.org/W1606474234","https://openalex.org/W2184057774","https://openalex.org/W2124645781","https://openalex.org/W1975659822","https://openalex.org/W3087943932","https://openalex.org/W2349022781","https://openalex.org/W2168747791","https://openalex.org/W4381744813"],"abstract_inverted_index":{"Content":[0],"Based":[1],"Retrieval":[2],"(CBR)":[3],"systems":[4],"use":[5],"Relevance":[6],"Feedback":[7],"(RF)":[8],"to":[9,42,101,109],"fill":[10],"the":[11,27,44,69,79,103,113,117,128],"semantic":[12],"gap.":[13],"RF":[14],"can":[15],"be":[16],"short-term":[17,31],"or":[18],"long-term.":[19],"The":[20,65,121],"introduction":[21],"of":[22,46,82,88,134],"long-term":[23,47],"learning":[24,32,58],"methods":[25],"address":[26],"memory":[28,77],"problem":[29],"in":[30,60,127,132],"methods.":[33],"In":[34,91],"this":[35,92],"letter":[36],"we":[37,94],"propose":[38],"a":[39,55,99],"new":[40],"method":[41,100,124],"enhance":[43],"gain":[45],"relevance":[48,61],"feedback.":[49],"We":[50],"have":[51,95],"come":[52,96],"up":[53,97],"with":[54,98],"long":[56],"term":[57],"scheme":[59],"feedback":[62,71,80],"for":[63],"CBR.":[64],"proposed":[66,122],"system":[67,81],"integrates":[68],"user":[70,118],"from":[72,116],"all":[73],"iterationations":[74],"and":[75,106,138],"instills":[76],"into":[78],"CBR":[83],"without":[84],"saving":[85],"any":[86],"log":[87],"earlier":[89],"retrievals.":[90],"letter,":[93],"update":[102,123],"cluster":[104],"parameters":[105],"weights":[107],"assigned":[108],"features":[110],"by":[111],"accumulating":[112],"knowledge":[114],"obtained":[115],"over":[119],"iterations.":[120],"is":[125],"validated":[126],"image":[129],"retrieval":[130,139],"context":[131],"terms":[133],"conventional":[135],"recall-precision":[136],"graph":[137],"accuracy.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
