{"id":"https://openalex.org/W13435086","doi":"https://doi.org/10.1007/978-3-642-32717-9_48","title":"Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to US Speed Limit Detection","display_name":"Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to US Speed Limit Detection","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W13435086","doi":"https://doi.org/10.1007/978-3-642-32717-9_48","mag":"13435086"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-32717-9_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-32717-9_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5090162178","display_name":"Armin Staudenmaier","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]},{"id":"https://openalex.org/I4210136950","display_name":"Hochschule Aalen","ror":"https://ror.org/04gg60e72","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210136950"]},{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Armin Staudenmaier","raw_affiliation_strings":["Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany","Hochschule Aalen, Beethovenstra\u00dfe 1, 73430, Aalen, Germany","Technische Universit\u00e4t Dortmund, Otto-Hahn-Str. 4, 44221, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]},{"raw_affiliation_string":"Hochschule Aalen, Beethovenstra\u00dfe 1, 73430, Aalen, Germany","institution_ids":["https://openalex.org/I4210136950"]},{"raw_affiliation_string":"Technische Universit\u00e4t Dortmund, Otto-Hahn-Str. 4, 44221, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045128615","display_name":"Ulrich Klauck","orcid":"https://orcid.org/0000-0002-1675-5059"},"institutions":[{"id":"https://openalex.org/I4210136950","display_name":"Hochschule Aalen","ror":"https://ror.org/04gg60e72","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210136950"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrich Klauck","raw_affiliation_strings":["Hochschule Aalen, Beethovenstra\u00dfe 1, 73430, Aalen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hochschule Aalen, Beethovenstra\u00dfe 1, 73430, Aalen, Germany","institution_ids":["https://openalex.org/I4210136950"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113850169","display_name":"Ulrich Kre\u00dfel","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulrich Kre\u00dfel","raw_affiliation_strings":["Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091472881","display_name":"Frank Lindner","orcid":null},"institutions":[{"id":"https://openalex.org/I891521709","display_name":"Daimler (Germany)","ror":"https://ror.org/00m0j3d84","country_code":"DE","type":"company","lineage":["https://openalex.org/I891521709"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Lindner","raw_affiliation_strings":["Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Group Research, Daimler AG, P.O. Box 2360, 89013, Ulm, Germany","institution_ids":["https://openalex.org/I891521709"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052828208","display_name":"Christian W\u00f6hler","orcid":"https://orcid.org/0000-0002-0715-0955"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian W\u00f6hler","raw_affiliation_strings":["Technische Universit\u00e4t Dortmund, Otto-Hahn-Str. 4, 44221, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dortmund, Otto-Hahn-Str. 4, 44221, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.9518,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73233889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10320","display_name":"Neural Networks and Applications","score":0.9966999888420105,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9891999959945679,"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/false-positive-paradox","display_name":"False positive paradox","score":0.7756357192993164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210990190505981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6348243355751038},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5864927768707275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5688630938529968},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5647006034851074},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5547769665718079},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5545639991760254},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5140396356582642},{"id":"https://openalex.org/keywords/bayes-error-rate","display_name":"Bayes error rate","score":0.4880353510379791},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4691696763038635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33234596252441406},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.29014578461647034},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.06981152296066284}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7756357192993164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210990190505981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6348243355751038},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5864927768707275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5688630938529968},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5647006034851074},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5547769665718079},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5545639991760254},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5140396356582642},{"id":"https://openalex.org/C143809311","wikidata":"https://www.wikidata.org/wiki/Q4874458","display_name":"Bayes error rate","level":5,"score":0.4880353510379791},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4691696763038635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33234596252441406},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.29014578461647034},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.06981152296066284},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-642-32717-9_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-32717-9_48","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W132090532","https://openalex.org/W1988790447","https://openalex.org/W2040870580","https://openalex.org/W2044812172","https://openalex.org/W2052570068","https://openalex.org/W2072026441","https://openalex.org/W2110086022","https://openalex.org/W2123157895","https://openalex.org/W2144460703","https://openalex.org/W2164598857","https://openalex.org/W2799061466","https://openalex.org/W3097096317","https://openalex.org/W4248437541"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2360982908","https://openalex.org/W2057359786","https://openalex.org/W2394466068","https://openalex.org/W145653800","https://openalex.org/W1986699031","https://openalex.org/W2393473353","https://openalex.org/W4312866165","https://openalex.org/W108287568","https://openalex.org/W2537862391"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
