{"id":"https://openalex.org/W2106506829","doi":"https://doi.org/10.1109/icassp.2004.1327202","title":"Multi-sample data-dependent fusion of sorted score sequences for biometric verification","display_name":"Multi-sample data-dependent fusion of sorted score sequences for biometric verification","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W2106506829","doi":"https://doi.org/10.1109/icassp.2004.1327202","mag":"2106506829"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2004.1327202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1327202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5051242452","display_name":"Ming-Cheung Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ming-Cheung Cheung","raw_affiliation_strings":["Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China"],"affiliations":[{"raw_affiliation_string":"Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068768998","display_name":"Man\u2010Wai Mak","orcid":"https://orcid.org/0000-0001-8854-3760"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Man-Wai Mak","raw_affiliation_strings":["Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China"],"affiliations":[{"raw_affiliation_string":"Center for Multimedia Signal Processing, Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072714962","display_name":"Sun\u2010Yuan Kung","orcid":"https://orcid.org/0000-0002-7314-0720"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sun-Yuan Kung","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051242452"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.6982,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90924112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"V","last_page":"681"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6942180395126343},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6919028759002686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6243975162506104},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5405626893043518},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5370795726776123},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5067601799964905},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49758365750312805},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4965222477912903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4817947745323181},{"id":"https://openalex.org/keywords/biometric-data","display_name":"Biometric data","score":0.4554862082004547},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.43556034564971924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40893515944480896},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.392424613237381},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35138607025146484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3323821723461151},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2322995960712433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15721076726913452}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6942180395126343},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6919028759002686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243975162506104},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5405626893043518},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5370795726776123},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5067601799964905},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49758365750312805},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4965222477912903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4817947745323181},{"id":"https://openalex.org/C2989513435","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometric data","level":3,"score":0.4554862082004547},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.43556034564971924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40893515944480896},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.392424613237381},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35138607025146484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3323821723461151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2322995960712433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15721076726913452},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2004.1327202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2004.1327202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/37986","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/37986","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W198096878","https://openalex.org/W1913892989","https://openalex.org/W2025653905","https://openalex.org/W2041823554","https://openalex.org/W2051086261","https://openalex.org/W2120517737","https://openalex.org/W2158275940","https://openalex.org/W2162033700","https://openalex.org/W2162125266","https://openalex.org/W2286343847","https://openalex.org/W6683483556","https://openalex.org/W6696286739"],"related_works":["https://openalex.org/W2070951564","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W4235304214","https://openalex.org/W2348616196","https://openalex.org/W2353265673","https://openalex.org/W2081577055","https://openalex.org/W2981192112","https://openalex.org/W2031175860"],"abstract_inverted_index":{"In":[0],"many":[1],"biometric":[2],"systems,":[3],"the":[4,14,35,38,55,60,65,68,72,81,86,91,97,105,110,145,149,152,156,160,175,179],"scores":[5,39,70,89,143,154],"of":[6,37,88,141,147],"multiple":[7],"samples":[8],"(e.g.":[9],"utterances)":[10],"are":[11,84],"averaged":[12],"and":[13,71,155],"average":[15,27],"score":[16,56,74,92,111],"is":[17,40],"compared":[18],"against":[19],"a":[20,50,123,134],"decision":[21,24],"threshold":[22],"for":[23],"making.":[25],"The":[26,117],"score,":[28],"however,":[29],"may":[30],"not":[31],"be":[32],"optimal":[33],"because":[34],"distribution":[36,57],"ignored.":[41],"To":[42],"address":[43],"this":[44],"limitation,":[45],"we":[46],"have":[47],"recently":[48],"proposed":[49],"fusion":[51,61,82,106,114,118,140],"model":[52,107,119],"that":[53,139],"incorporates":[54],"by":[58,108,183],"making":[59,159],"weights":[62,83],"dependent":[63],"on":[64,122],"dispersion":[66,150],"between":[67,151],"frame-based":[69],"prior":[73],"statistics":[75],"obtained":[76],"from":[77],"training":[78],"data.":[79],"As":[80],"data-dependent,":[85],"positions":[87],"in":[90,133],"sequences":[93,112],"become":[94],"detrimental":[95],"to":[96,103],"final":[98],"fused":[99],"scores.":[100],"We":[101],"propose":[102],"enhance":[104],"sorting":[109,172],"before":[113],"takes":[115],"place.":[116],"was":[120,173],"evaluated":[121],"speaker":[124],"verification":[125,135,161],"task":[126],"where":[127,170],"each":[128],"claimant":[129],"utters":[130],"two":[131],"utterances":[132],"session.":[136],"Results":[137],"demonstrate":[138],"sorted":[142],"has":[144],"effect":[146],"maximizing":[148],"client":[153],"impostor":[157],"scores,":[158],"process":[162],"more":[163],"reliable.":[164],"Compared":[165],"with":[166],"our":[167],"previous":[168],"work,":[169],"no":[171],"applied,":[174],"new":[176],"approach":[177],"reduces":[178],"equal":[180],"error":[181],"rate":[182],"11":[184],"%.":[185]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}