{"id":"https://openalex.org/W2533472242","doi":"https://doi.org/10.1109/aipr.2011.6176354","title":"Multi-domain data modeling for biometrics","display_name":"Multi-domain data modeling for biometrics","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2533472242","doi":"https://doi.org/10.1109/aipr.2011.6176354","mag":"2533472242"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2011.6176354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114123744","display_name":"Alex Chen","orcid":"https://orcid.org/0000-0003-2620-5066"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Chen","raw_affiliation_strings":["Thomas Jefferson High School, Alexandria, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thomas Jefferson High School, Alexandria, VA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089846623","display_name":"Jason M. Kinser","orcid":"https://orcid.org/0000-0003-0078-4899"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Kinser","raw_affiliation_strings":["George Mason University, Manassas, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"George Mason University, Manassas, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"290","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification 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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10901","display_name":"Advanced Data Compression Techniques","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/computer-science","display_name":"Computer science","score":0.8404104113578796},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7310842275619507},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6068213582038879},{"id":"https://openalex.org/keywords/hyperlink","display_name":"Hyperlink","score":0.5943684577941895},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.48086148500442505},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4527861475944519},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.42827147245407104},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41794317960739136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35741573572158813},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.20751336216926575},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1851159930229187}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8404104113578796},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7310842275619507},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6068213582038879},{"id":"https://openalex.org/C30088001","wikidata":"https://www.wikidata.org/wiki/Q102014","display_name":"Hyperlink","level":3,"score":0.5943684577941895},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.48086148500442505},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4527861475944519},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.42827147245407104},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41794317960739136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35741573572158813},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.20751336216926575},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1851159930229187},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2011.6176354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2011.6176354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309029","display_name":"George Mason University","ror":"https://ror.org/02jqj7156"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1575616817","https://openalex.org/W1825129916","https://openalex.org/W1983105110","https://openalex.org/W2001141328","https://openalex.org/W2136440208","https://openalex.org/W2137918516","https://openalex.org/W2283195891"],"related_works":["https://openalex.org/W1572370569","https://openalex.org/W3119811191","https://openalex.org/W2004030635","https://openalex.org/W4381744813","https://openalex.org/W2388186172","https://openalex.org/W2997522288","https://openalex.org/W4238243837","https://openalex.org/W2031656597","https://openalex.org/W3156724800","https://openalex.org/W4313580724"],"abstract_inverted_index":{"Recently,":[0],"much":[1],"work":[2],"has":[3],"been":[4],"performed":[5],"on":[6],"CBIR":[7,143],"(content":[8],"based":[9],"image":[10,122],"retrieval)":[11],"that":[12,99],"treats":[13],"images":[14],"as":[15],"single":[16,67,94],"data":[17,34,101,123,133,147],"domain.":[18],"However,":[19],"in":[20,29,85,116],"our":[21],"highly":[22],"digitized":[23],"society,":[24],"information":[25],"is":[26,35,83,97],"being":[27],"supplied":[28],"multiple":[30],"domains":[31,60,68,106],"where":[32],"the":[33,70,117],"linked":[36],"across":[37],"domains.":[38],"For":[39],"example,":[40],"a":[41,79,149],"web":[42],"site":[43],"does":[44],"contain":[45,51],"images,":[46],"but":[47],"it":[48],"may":[49],"also":[50],"text,":[52],"hyperlinks,":[53],"documents,":[54],"sound":[55],"files,":[56],"movies,":[57],"and":[58,90,107],"other":[59,113],"of":[61,72,136,151],"data.":[62],"Performing":[63],"recall":[64],"operations":[65],"within":[66],"eliminates":[69],"possibility":[71],"employing":[73],"cross-domain":[74,108],"inferences.":[75],"In":[76,112],"this":[77],"work,":[78],"multi-domain":[80],"search":[81,95,138],"space":[82,96],"presented":[84],"with":[86],"two":[87],"domains:":[88],"speech":[89,118],"facial":[91],"images.":[92],"A":[93],"created":[98],"contains":[100],"from":[102,148],"these":[103,132],"vastly":[104],"different":[105],"inferences":[109],"are":[110],"allowed.":[111],"words,":[114],"queries":[115],"domain":[119],"can":[120],"retrieve":[121],"even":[124],"if":[125],"there":[126],"was":[127],"no":[128],"hard":[129],"link":[130],"between":[131],"samples.":[134],"Generation":[135],"multidomain":[137],"spaces":[139],"will":[140],"eventually":[141],"expand":[142],"systems":[144],"to":[145],"include":[146],"variety":[150],"sources.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}