{"id":"https://openalex.org/W1995879737","doi":"https://doi.org/10.1109/cvpr.2012.6247959","title":"Boosting algorithms for simultaneous feature extraction and selection","display_name":"Boosting algorithms for simultaneous feature extraction and selection","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1995879737","doi":"https://doi.org/10.1109/cvpr.2012.6247959","mag":"1995879737"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5013777857","display_name":"Mohammad Saberian","orcid":"https://orcid.org/0009-0004-9852-030X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. J. Saberian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, USA","Department of Electrical and Computer Engineering, University of California San Diego#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego#TAB#","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043325212","display_name":"Nuno Vasconcelos","orcid":"https://orcid.org/0000-0002-9024-4302"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Vasconcelos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, USA","Department of Electrical and Computer Engineering, University of California San Diego#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California San Diego#TAB#","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013777857"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.3878,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8252433,"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":"2448","last_page":"2455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10057","display_name":"Face and Expression Recognition","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991999864578247,"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":0.9987999796867371,"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/boosting","display_name":"Boosting (machine learning)","score":0.8753332495689392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734519362449646},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6850888133049011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703995823860168},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5243977904319763},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46271345019340515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44852110743522644},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4435844123363495},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36257171630859375}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8753332495689392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734519362449646},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6850888133049011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703995823860168},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5243977904319763},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46271345019340515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44852110743522644},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4435844123363495},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36257171630859375}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.261.2714","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.261.2714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://svcl.ucsd.edu/publications/conference/2012/cvpr/SOPBoost.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W2012330712","https://openalex.org/W2024046085","https://openalex.org/W2036989445","https://openalex.org/W2037090920","https://openalex.org/W2041913211","https://openalex.org/W2072419029","https://openalex.org/W2086720713","https://openalex.org/W2104671481","https://openalex.org/W2108263314","https://openalex.org/W2108897205","https://openalex.org/W2110306668","https://openalex.org/W2111662190","https://openalex.org/W2122102310","https://openalex.org/W2126338813","https://openalex.org/W2131091164","https://openalex.org/W2149194912","https://openalex.org/W2162915993","https://openalex.org/W3097096317","https://openalex.org/W6676249281"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W3082059448","https://openalex.org/W2145188897","https://openalex.org/W4313640622"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,34,49,75,81,85,94],"simultaneous":[3],"feature":[4,66],"extraction":[5],"and":[6,41,51,111,129],"selection,":[7],"for":[8],"classifier":[9],"design,":[10],"is":[11,16,39,62,88],"considered.":[12],"A":[13],"new":[14,69],"framework":[15,38],"proposed,":[17],"based":[18,115],"on":[19,116,122],"boosting":[20,50,144],"algorithms":[21,70],"that":[22,133],"can":[23],"either":[24],"1)":[25],"select":[26],"existing":[27],"features":[28],"or":[29,83],"2)":[30],"assemble":[31],"a":[32,104],"combination":[33],"these":[35,134],"features.":[36,119],"This":[37,87],"simple":[40],"mathematically":[42],"sound,":[43],"derived":[44],"from":[45],"the":[46,68,92],"statistical":[47],"view":[48],"Taylor":[52],"series":[53],"approximations":[54],"in":[55,103],"functional":[56],"space.":[57],"Unlike":[58],"classical":[59,143],"boosting,":[60],"which":[61],"limited":[63],"to":[64,90,109,138],"linear":[65],"combinations,":[67],"support":[71],"more":[72,112,117,139],"sophisticated":[73],"combinations":[74],"weak":[76,101],"learners,":[77],"such":[78],"as":[79],"\u201csums":[80],"products\u201d":[82],"\u201cproducts":[84],"sums\u201d.":[86],"shown":[89],"enable":[91],"design":[93],"fairly":[95],"complex":[96],"predictor":[97],"structures":[98],"with":[99],"few":[100],"learners":[102],"fully":[105],"automated":[106],"manner,":[107],"leading":[108],"faster":[110],"accurate":[113,140],"classifiers,":[114],"informative":[118],"Extensive":[120],"experiments":[121],"synthetic":[123],"data,":[124],"UCI":[125],"datasets,":[126],"object":[127],"detection":[128],"scene":[130],"recognition":[131],"show":[132],"predictors":[135],"consistently":[136],"lead":[137],"classifiers":[141],"than":[142],"algorithms.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
