{"id":"https://openalex.org/W2091818215","doi":"https://doi.org/10.1109/hpec.2015.7322446","title":"A near real-time, parallel and distributed adaptive object detection and retraining framework based on AdaBoost algorithm","display_name":"A near real-time, parallel and distributed adaptive object detection and retraining framework based on AdaBoost algorithm","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2091818215","doi":"https://doi.org/10.1109/hpec.2015.7322446","mag":"2091818215"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2015.7322446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2015.7322446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5076636276","display_name":"Munther Abualkibash","orcid":null},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Munther Abualkibash","raw_affiliation_strings":["Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","Computer Science and Engineering, University of Bridgeport, CT, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005346248","display_name":"Ausif Mahmood","orcid":"https://orcid.org/0000-0002-8991-4268"},"institutions":[{"id":"https://openalex.org/I154300980","display_name":"University of Bridgeport","ror":"https://ror.org/01rf3yp57","country_code":"US","type":"education","lineage":["https://openalex.org/I154300980"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ausif Mahmood","raw_affiliation_strings":["Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","Computer Science and Engineering, University of Bridgeport, CT, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of Bridgeport, Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]},{"raw_affiliation_string":"Computer Science and Engineering, University of Bridgeport, CT, USA","institution_ids":["https://openalex.org/I154300980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069624320","display_name":"Saeid Moslehpour","orcid":null},"institutions":[{"id":"https://openalex.org/I162281398","display_name":"University of Hartford","ror":"https://ror.org/034gcgd08","country_code":"US","type":"education","lineage":["https://openalex.org/I162281398"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeid Moslehpour","raw_affiliation_strings":["Electrical and Computer Engineering, University of Hartford, Hartford, CT, USA","Electrical and Computer Engineering, University of Hartford, CT, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Hartford, Hartford, CT, USA","institution_ids":["https://openalex.org/I162281398"]},{"raw_affiliation_string":"Electrical and Computer Engineering, University of Hartford, CT, USA","institution_ids":["https://openalex.org/I162281398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076636276"],"corresponding_institution_ids":["https://openalex.org/I154300980"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68299219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9977999925613403,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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":0.8200791478157043},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.7549952864646912},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6953394412994385},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.6498264670372009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6196852922439575},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.6100875735282898},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.5672507882118225},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.5326746702194214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5166183114051819},{"id":"https://openalex.org/keywords/object-class-detection","display_name":"Object-class detection","score":0.5116784572601318},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5020430088043213},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4172302186489105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40729862451553345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3872801959514618},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3750133216381073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3422088623046875},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.2418290078639984},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.16735601425170898}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8200791478157043},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.7549952864646912},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6953394412994385},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.6498264670372009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6196852922439575},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.6100875735282898},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.5672507882118225},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.5326746702194214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5166183114051819},{"id":"https://openalex.org/C71681937","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object-class detection","level":5,"score":0.5116784572601318},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5020430088043213},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4172302186489105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40729862451553345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3872801959514618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3750133216381073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3422088623046875},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.2418290078639984},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.16735601425170898},{"id":"https://openalex.org/C155202549","wikidata":"https://www.wikidata.org/wiki/Q178803","display_name":"International trade","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2015.7322446","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2015.7322446","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W235374048","https://openalex.org/W1971774955","https://openalex.org/W1988790447","https://openalex.org/W2012330712","https://openalex.org/W2023503755","https://openalex.org/W2024046085","https://openalex.org/W2062924544","https://openalex.org/W2102281237","https://openalex.org/W2113563476","https://openalex.org/W2120907774","https://openalex.org/W2128808713","https://openalex.org/W2137401668","https://openalex.org/W2159239496","https://openalex.org/W2160225842","https://openalex.org/W2163757302","https://openalex.org/W2164598857","https://openalex.org/W2962739538","https://openalex.org/W3097096317","https://openalex.org/W4230609379","https://openalex.org/W6675256168","https://openalex.org/W6683732952"],"related_works":["https://openalex.org/W1560709653","https://openalex.org/W1993261271","https://openalex.org/W2096042813","https://openalex.org/W3204852000","https://openalex.org/W2392583168","https://openalex.org/W2784064218","https://openalex.org/W1970925716","https://openalex.org/W2294130405","https://openalex.org/W2348786948","https://openalex.org/W2380298350"],"abstract_inverted_index":{"Object":[0],"detection":[1,54,129,148],"(e.g.,":[2],"face":[3,166],"detection)":[4],"using":[5],"supervised":[6],"learning":[7,90],"often":[8],"requires":[9,20],"extensive":[10],"training,":[11],"resulting":[12],"in":[13,33,45,92],"long":[14],"execution":[15,112,155],"times.":[16],"If":[17],"the":[18,37,58,80,89,153,159],"system":[19,38,59],"retraining":[21,154],"to":[22,63,108,145],"accommodate":[23],"a":[24,51,70,97,110,137],"missed":[25],"detection,":[26,94],"waiting":[27],"several":[28],"hours":[29],"or":[30],"even":[31],"days":[32],"some":[34],"cases":[35],"before":[36],"is":[39,77,106,143],"ready,":[40],"may":[41],"not":[42],"be":[43,67],"acceptable":[44],"practical":[46],"implementations.":[47],"This":[48],"paper":[49],"presents":[50],"generalized":[52],"object":[53,85,93,128],"framework":[55,134,164],"such":[56,135],"that":[57,105,136],"can":[60],"efficiently":[61],"adapt":[62],"misclassified":[64],"data":[65],"and":[66,101,167],"retrained":[68],"within":[69],"few":[71],"minutes.":[72],"The":[73],"methodology":[74],"developed":[75],"here":[76],"based":[78],"on":[79,120,165],"popular":[81],"AdaBoost":[82,103],"algorithm":[83,104,130],"for":[84],"detection.":[86,169],"To":[87],"reduce":[88],"time":[91,113],"we":[95,124],"develop":[96],"highly":[98],"efficient,":[99],"parallel,":[100],"distributed":[102],"able":[107],"achieve":[109],"training":[111,141],"of":[114,161],"only":[115],"1.4":[116],"seconds":[117],"per":[118],"feature":[119],"25":[121],"workstations.":[122],"Further,":[123],"incorporate":[125],"this":[126],"parallel":[127],"into":[131],"an":[132],"adaptive":[133,163],"much":[138],"smaller,":[139],"optimized":[140],"subset":[142],"used":[144],"yield":[146],"high":[147],"rates":[149],"while":[150],"further":[151],"reducing":[152],"time.":[156],"We":[157],"demonstrate":[158],"usefulness":[160],"our":[162],"car":[168]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}