{"id":"https://openalex.org/W1573197951","doi":"https://doi.org/10.1109/icra.2015.7139368","title":"Active online confidence boosting for efficient object classification","display_name":"Active online confidence boosting for efficient object classification","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1573197951","doi":"https://doi.org/10.1109/icra.2015.7139368","mag":"1573197951"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2015.7139368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","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/A5070671305","display_name":"Dennis Mund","orcid":"https://orcid.org/0000-0003-2469-146X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dennis Mund","raw_affiliation_strings":["Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050478468","display_name":"Rudolph Triebel","orcid":"https://orcid.org/0000-0002-7975-036X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rudolph Triebel","raw_affiliation_strings":["Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087710605","display_name":"Daniel Cremers","orcid":"https://orcid.org/0000-0002-3079-7984"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Cremers","raw_affiliation_strings":["Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Vision Group, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Computer Vision Group, Department of Computer Science, Technische Universit\u00e4t M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070671305"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.8902,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82032561,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1367","last_page":"1373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9929999709129333,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9894999861717224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8784767389297485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7744489312171936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6831724643707275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600950956344604},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6595326066017151},{"id":"https://openalex.org/keywords/overconfidence-effect","display_name":"Overconfidence effect","score":0.564640998840332},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5492031574249268},{"id":"https://openalex.org/keywords/supervisor","display_name":"Supervisor","score":0.42974787950515747},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42582976818084717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32713598012924194}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8784767389297485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7744489312171936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6831724643707275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600950956344604},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6595326066017151},{"id":"https://openalex.org/C51110983","wikidata":"https://www.wikidata.org/wiki/Q16503490","display_name":"Overconfidence effect","level":2,"score":0.564640998840332},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5492031574249268},{"id":"https://openalex.org/C2779110517","wikidata":"https://www.wikidata.org/wiki/Q1240788","display_name":"Supervisor","level":2,"score":0.42974787950515747},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42582976818084717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32713598012924194},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icra.2015.7139368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.9822","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.9822","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://vision.in.tum.de/_media/spezial/bib/mund15active.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1500243799","https://openalex.org/W1836220311","https://openalex.org/W1963934847","https://openalex.org/W1983521647","https://openalex.org/W1991671938","https://openalex.org/W1999689402","https://openalex.org/W2003768689","https://openalex.org/W2027248184","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2137956165","https://openalex.org/W2155284717","https://openalex.org/W2156222070","https://openalex.org/W2161236525","https://openalex.org/W2467155776","https://openalex.org/W2625938553","https://openalex.org/W2914331073","https://openalex.org/W2951285466","https://openalex.org/W2952793010","https://openalex.org/W2992769304","https://openalex.org/W4285719527","https://openalex.org/W4298132949","https://openalex.org/W6630013567","https://openalex.org/W6682725716","https://openalex.org/W6683562173","https://openalex.org/W6719499963","https://openalex.org/W6739553034","https://openalex.org/W6991122698","https://openalex.org/W7030001483"],"related_works":["https://openalex.org/W4253467046","https://openalex.org/W4251085376","https://openalex.org/W2066240519","https://openalex.org/W2775388773","https://openalex.org/W2991634017","https://openalex.org/W2110063637","https://openalex.org/W2354626691","https://openalex.org/W1980773669","https://openalex.org/W2001454647","https://openalex.org/W3121409907"],"abstract_inverted_index":{"We":[0,71,114],"present":[1],"a":[2,66,82,90,94],"novel":[3],"efficient":[4],"algorithm":[5],"for":[6,86,101],"object":[7],"classification.":[8],"Our":[9,40],"method":[10],"is":[11,43,98],"based":[12],"on":[13,61,121],"the":[14,35,45,116],"active":[15,102],"learning":[16,107,127],"framework,":[17],"in":[18,25,37,51],"which":[19,87],"training":[20],"and":[21,27,109,128],"classification":[22,68],"are":[23,32],"performed":[24],"loops,":[26],"new":[28],"ground":[29],"truth":[30],"labels":[31],"queried":[33],"from":[34,44,125],"supervisor":[36],"each":[38],"loop.":[39],"underlying":[41],"classifier":[42,97],"family":[46],"of":[47,84,118],"boosting":[48],"methods,":[49,55],"but":[50],"contrast":[52],"to":[53,81,105],"earlier":[54],"our":[56,96,119],"Confidence":[57],"Boosting":[58],"particularly":[59],"focusses":[60],"misclassified":[62],"samples":[63,76],"that":[64,73],"have":[65],"high":[67],"confidence":[69],"associated.":[70],"show":[72,115],"weighting":[74],"these":[75],"more":[77],"than":[78],"others":[79],"leads":[80],"decrease":[83],"overconfidence,":[85],"we":[88],"give":[89],"formal":[91],"definition.":[92],"As":[93],"result,":[95],"better":[99],"suited":[100],"learning,":[103],"leading":[104],"steeper":[106],"curves":[108],"less":[110],"required":[111],"label":[112],"queries.":[113],"benefits":[117],"approach":[120],"standard":[122],"data":[123],"sets":[124],"machine":[126],"robotics.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
