{"id":"https://openalex.org/W2133333457","doi":"https://doi.org/10.1109/cbmi.2010.5529912","title":"Fast shared boosting: Application to large-scale visual concept detection","display_name":"Fast shared boosting: Application to large-scale visual concept detection","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2133333457","doi":"https://doi.org/10.1109/cbmi.2010.5529912","mag":"2133333457"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2010.5529912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2010.5529912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Workshop on Content Based Multimedia Indexing (CBMI)","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/A5029449532","display_name":"Herv\u00e9 Le Borgne","orcid":"https://orcid.org/0000-0003-0520-8436"},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I4210097138","display_name":"CEA Paris-Saclay - Etablissement de Fontenay-aux-roses","ror":"https://ror.org/010j2gw05","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210097138","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Herve Le Borgne","raw_affiliation_strings":["LIST, Vision and Content Engineering Laboratory, CEA, Fontenay-aux-Roses, France","CEA, LIST, Vision and Content Engineering Laboratory, 18 route du Panorama, BP6, Fontenay-aux-Roses, F-92265 France"],"affiliations":[{"raw_affiliation_string":"LIST, Vision and Content Engineering Laboratory, CEA, Fontenay-aux-Roses, France","institution_ids":["https://openalex.org/I4210097138","https://openalex.org/I2738703131","https://openalex.org/I4210085861"]},{"raw_affiliation_string":"CEA, LIST, Vision and Content Engineering Laboratory, 18 route du Panorama, BP6, Fontenay-aux-Roses, F-92265 France","institution_ids":["https://openalex.org/I4210097138","https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008142843","display_name":"Nicolas Honnorat","orcid":"https://orcid.org/0000-0003-2210-9341"},"institutions":[{"id":"https://openalex.org/I216852786","display_name":"\u00c9cole Centrale Paris","ror":"https://ror.org/00v0y5771","country_code":"FR","type":"education","lineage":["https://openalex.org/I216852786"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Honnorat","raw_affiliation_strings":["MAS Laboratory, Ecole Centrale de Paris, Chatenay-Malabry, France","MAS Laboratory, Ecole Centrale de Paris, Grande Voie des Vignes, Chatenay-Malabry, France"],"affiliations":[{"raw_affiliation_string":"MAS Laboratory, Ecole Centrale de Paris, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]},{"raw_affiliation_string":"MAS Laboratory, Ecole Centrale de Paris, Grande Voie des Vignes, Chatenay-Malabry, France","institution_ids":["https://openalex.org/I216852786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029449532"],"corresponding_institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210097138"],"apc_list":null,"apc_paid":null,"fwci":1.2749,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82464079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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":0.9998000264167786,"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"}},"topics":[{"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9941999912261963,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.8674618005752563},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8033663630485535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6755969524383545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6039279699325562},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5306892395019531},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.5129420161247253},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.421941876411438},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4156317710876465},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2658257782459259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8674618005752563},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8033663630485535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6755969524383545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6039279699325562},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5306892395019531},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5129420161247253},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.421941876411438},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4156317710876465},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2658257782459259},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2010.5529912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2010.5529912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Workshop on Content Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W255846030","https://openalex.org/W1566135517","https://openalex.org/W2015647721","https://openalex.org/W2024046085","https://openalex.org/W2054279472","https://openalex.org/W2070534370","https://openalex.org/W2112020727","https://openalex.org/W2114385774","https://openalex.org/W2121627225","https://openalex.org/W2145406111","https://openalex.org/W2154422044","https://openalex.org/W2158394179","https://openalex.org/W2159680539","https://openalex.org/W2162915993","https://openalex.org/W2911964244","https://openalex.org/W2986994086","https://openalex.org/W3004732066","https://openalex.org/W6676926588","https://openalex.org/W6683410742"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W3082059448","https://openalex.org/W4313640622","https://openalex.org/W2592003259","https://openalex.org/W4300235460","https://openalex.org/W2964269045","https://openalex.org/W2154615742","https://openalex.org/W1558422673","https://openalex.org/W2228999631"],"abstract_inverted_index":{"This":[0,103],"work":[1],"addresses":[2],"the":[3,41,58,129,135,139],"problem":[4,29,111],"of":[5,43,62,100,112,123,131],"large-scale":[6],"visual":[7],"concept":[8,44],"detection.":[9],"Visual":[10],"concepts":[11],"are":[12],"usually":[13],"learned":[14],"from":[15],"an":[16],"annotated":[17],"image":[18],"or":[19],"video":[20],"database":[21],"with":[22,75,88,97,114],"a":[23,31,85,98,110,118],"machine":[24],"learning":[25,34,70],"algorithm,":[26],"posing":[27],"this":[28,81],"as":[30],"multiclass":[32,86],"supervised":[33],"task.":[35],"Some":[36],"practical":[37],"issues":[38],"appear":[39],"when":[40,48],"number":[42],"grows,":[45],"in":[46,60,80,117,128],"particular":[47],"one":[49],"aims":[50],"at":[51],"developing":[52],"applications":[53],"for":[54,69],"real":[55],"users,":[56],"restricting":[57],"constraints":[59],"terms":[61],"available":[63],"memory":[64],"and":[65,71,92,144],"computing":[66],"time":[67],"(both":[68],"testing).":[72],"To":[73],"cope":[74],"these":[76],"issues,":[77],"we":[78],"propose":[79],"article":[82],"to":[83,108],"use":[84],"boosting":[87],"feature":[89],"sharing":[90],"algorithm":[91,106,125],"reduce":[93],"its":[94],"computational":[95],"complexity":[96],"set":[99],"efficient":[101],"improvements.":[102],"makes":[104],"our":[105,124],"able":[107],"handle":[109],"classification":[113],"many":[115],"classes":[116],"reasonable":[119],"time.":[120],"The":[121],"relevance":[122],"is":[126],"evaluated":[127],"context":[130],"information":[132],"retrieval,":[133],"on":[134],"benchmark":[136],"proposed":[137],"into":[138],"ImageCLEF":[140],"international":[141],"evaluation":[142],"campaign":[143],"shows":[145],"competitive":[146],"results.":[147]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}