{"id":"https://openalex.org/W2113427041","doi":"https://doi.org/10.1109/cvprw.2006.26","title":"An Ensemble Approach to Robust Biometrics Fusion","display_name":"An Ensemble Approach to Robust Biometrics Fusion","publication_year":2006,"publication_date":"2006-07-10","ids":{"openalex":"https://openalex.org/W2113427041","doi":"https://doi.org/10.1109/cvprw.2006.26","mag":"2113427041"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2006.26","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.26","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","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/A5081161711","display_name":"Costin Barbu","orcid":null},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"C. Barbu","raw_affiliation_strings":["EECS Department, Tulane University, New Orleans, LA, USA","Tulane University, USA;"],"affiliations":[{"raw_affiliation_string":"EECS Department, Tulane University, New Orleans, LA, USA","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Tulane University, USA;","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111535724","display_name":"Raja Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Iqbal","raw_affiliation_strings":["EECS Department, Tulane University, New Orleans, LA, USA","Tulane University, USA;"],"affiliations":[{"raw_affiliation_string":"EECS Department, Tulane University, New Orleans, LA, USA","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Tulane University, USA;","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101892033","display_name":"Jing Peng","orcid":"https://orcid.org/0000-0001-8822-310X"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Peng","raw_affiliation_strings":["EECS Department, Tulane University, New Orleans, LA, USA","Tulane University, USA;"],"affiliations":[{"raw_affiliation_string":"EECS Department, Tulane University, New Orleans, LA, USA","institution_ids":["https://openalex.org/I114832834"]},{"raw_affiliation_string":"Tulane University, USA;","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081161711"],"corresponding_institution_ids":["https://openalex.org/I114832834"],"apc_list":null,"apc_paid":null,"fwci":0.6229,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70593018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"56","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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/T10828","display_name":"Biometric Identification and Security","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.9926000237464905,"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/biometrics","display_name":"Biometrics","score":0.7898547649383545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244512438774109},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6946454048156738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396079063415527},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5625574588775635},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.5071969032287598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49581965804100037},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.48913314938545227},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.47444188594818115},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47014477849006653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44574111700057983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15344369411468506}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7898547649383545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244512438774109},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6946454048156738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396079063415527},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5625574588775635},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.5071969032287598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49581965804100037},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.48913314938545227},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.47444188594818115},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47014477849006653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44574111700057983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15344369411468506},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2006.26","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2006.26","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.47999998927116394,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W179694669","https://openalex.org/W1553313034","https://openalex.org/W1575130722","https://openalex.org/W1602485673","https://openalex.org/W1603849545","https://openalex.org/W1975846642","https://openalex.org/W1988790447","https://openalex.org/W2013502943","https://openalex.org/W2032210760","https://openalex.org/W2033419168","https://openalex.org/W2067885219","https://openalex.org/W2073040595","https://openalex.org/W2105809105","https://openalex.org/W2108485538","https://openalex.org/W2145073242","https://openalex.org/W2145295623","https://openalex.org/W2146005839","https://openalex.org/W2148603752","https://openalex.org/W2148660279","https://openalex.org/W2158275940","https://openalex.org/W2160767978","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W4244952642","https://openalex.org/W6635966985","https://openalex.org/W6641446668","https://openalex.org/W6653629126","https://openalex.org/W6681651645"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W4300873085","https://openalex.org/W2019582947","https://openalex.org/W3147744369","https://openalex.org/W4241440711","https://openalex.org/W2355579697","https://openalex.org/W3208972923"],"abstract_inverted_index":{"A":[0],"clever":[1],"information":[2,20,52],"fusion":[3,21,100],"algorithm":[4],"is":[5,37],"a":[6,11,18,26,38,85],"key":[7],"component":[8],"in":[9,44,56,71,80,84,102],"designing":[10],"robust":[12],"multimodal":[13,31],"biometrics":[14,32],"algorithm.":[15],"We":[16,89],"present":[17],"novel":[19],"approach":[22],"that":[23,47],"can":[24],"be":[25],"very":[27],"useful":[28],"tool":[29],"for":[30],"learning.":[33],"The":[34],"proposed":[35,95],"technique":[36,96],"multiple":[39],"view":[40],"generalization":[41],"of":[42,94],"AdaBoost":[43],"the":[45,75,91],"sense":[46],"weak":[48],"learners":[49,66,79],"from":[50],"various":[51,103],"sources":[53],"are":[54],"selected":[55],"each":[57,72],"iteration":[58,73],"based":[59],"on":[60,68],"lowest":[61],"weighted":[62],"error":[63],"rate.":[64],"Weak":[65],"trained":[67],"individual":[69],"views":[70],"rectify":[74],"bias":[76],"introduced":[77],"by":[78],"preceding":[81],"iterations":[82],"resulting":[83],"self":[86],"regularizing":[87],"behavior.":[88],"compare":[90],"classification":[92,110],"performance":[93],"with":[97],"recent":[98],"classifier":[99],"strategies":[101],"domains":[104],"such":[105],"as":[106],"face":[107],"detection,":[108],"gender":[109],"and":[111],"texture":[112],"classification.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
