{"id":"https://openalex.org/W4246948010","doi":"https://doi.org/10.51202/9783186855107-138","title":"Bibliography","display_name":"Bibliography","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W4246948010","doi":"https://doi.org/10.51202/9783186855107-138"},"language":"en","primary_location":{"id":"doi:10.51202/9783186855107-138","doi":"https://doi.org/10.51202/9783186855107-138","is_oa":false,"landing_page_url":"https://doi.org/10.51202/9783186855107-138","pdf_url":null,"source":{"id":"https://openalex.org/S4306464236","display_name":"VDI Verlag eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object Detection using Feature Mining in a Distributed Machine Learning Framework","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W3117993899","display_name":"Object Detection using Feature Mining in a Distributed Machine Learning Framework"},"type":"paratext","is_traditional":false,"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/A5043650942","display_name":"Arne Ehlers","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arne Ehlers","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5043650942"],"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":null,"issue":null,"first_page":"138","last_page":"152"},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5468999743461609,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.5468999743461609,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.24130000174045563,"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":0.0925000011920929,"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/object-detection","display_name":"object detection","score":0.9679999947547913},{"id":"https://openalex.org/keywords/distributed-learning","display_name":"distributed learning","score":0.8859999775886536},{"id":"https://openalex.org/keywords/adaptive-boosting","display_name":"adaptive boosting","score":0.7829999923706055},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.8489999771118164},{"id":"https://openalex.org/keywords/feature-mining","display_name":"feature mining","score":0.9509999752044678},{"id":"https://openalex.org/keywords/fractal-characteristics","display_name":"fractal characteristics","score":0.9610000252723694},{"id":"https://openalex.org/keywords/shape-representation","display_name":"shape representation","score":0.8050000071525574},{"id":"https://openalex.org/keywords/uncertainty-modeling","display_name":"uncertainty modeling","score":0.6269999742507935},{"id":"https://openalex.org/keywords/post-processing","display_name":"post-processing","score":0.7440000176429749}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7869272232055664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314412593841553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6700400710105896},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5975037813186646},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5632660388946533},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5166338086128235},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5134888291358948},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4614488184452057},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.4381108283996582},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4315846562385559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4183204770088196},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.0},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.51202/9783186855107-138","doi":"https://doi.org/10.51202/9783186855107-138","is_oa":false,"landing_page_url":"https://doi.org/10.51202/9783186855107-138","pdf_url":null,"source":{"id":"https://openalex.org/S4306464236","display_name":"VDI Verlag eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object Detection using Feature Mining in a Distributed Machine Learning Framework","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4231536163","https://openalex.org/W4238732518","https://openalex.org/W4251900258","https://openalex.org/W2147297298","https://openalex.org/W2075386676","https://openalex.org/W2164598857","https://openalex.org/W2171188998","https://openalex.org/W1562851703","https://openalex.org/W2138064179","https://openalex.org/W3031419073"],"abstract_inverted_index":{"This":[0],"dissertation":[1],"addresses":[2],"the":[3,32,50,55,62,86,124,136,139],"problem":[4],"of":[5,43,64,96,108,123,130,138],"visual":[6],"object":[7,25,45,65,87],"detection":[8,46],"based":[9],"on":[10],"machine-learned":[11],"classifiers.":[12],"A":[13],"distributed":[14],"machine":[15],"learning":[16],"framework":[17],"is":[18,99,113],"developed":[19],"to":[20,60,78,85,89,103,134],"learn":[21],"detectors":[22,66],"for":[23],"several":[24,41],"classes":[26],"creating":[27],"cascaded":[28,125],"ensemble":[29],"classifiers":[30],"by":[31],"Adaptive":[33],"Boosting":[34],"algorithm.":[35],"Methods":[36],"are":[37,76,83],"proposed":[38,100],"that":[39,82,101,115],"enhance":[40],"components":[42],"an":[44],"framework:":[47],"At":[48],"first,":[49],"thesis":[51],"deals":[52],"with":[53],"augmenting":[54],"training":[56,70],"data":[57],"in":[58,132],"order":[59,133],"improve":[61],"performance":[63],"learned":[67],"from":[68],"sparse":[69],"sets.":[71],"Secondly,":[72],"feature":[73,80],"mining":[74],"strategies":[75],"introduced":[77,114],"create":[79],"sets":[81],"customized":[84],"class":[88,95],"be":[90],"detected.":[91],"Furthermore,":[92],"a":[93,105,111],"novel":[94],"fractal":[97],"features":[98],"allows":[102],"represent":[104],"wide":[106],"variety":[107],"shapes.":[109],"Thirdly,":[110],"method":[112],"models":[116],"and":[117,121],"combines":[118],"internal":[119],"confidences":[120],"uncertainties":[122],"detector":[126],"using":[127],"Dempster\u2019s":[128],"theory":[129],"evidence":[131],"increase":[135],"quality":[137],"post-processing.":[140]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2022-05-12T00:00:00"}