{"id":"https://openalex.org/W2128387655","doi":"https://doi.org/10.1109/ivs.2014.6856452","title":"Supervised learning and evaluation of KITTI's cars detector with DPM","display_name":"Supervised learning and evaluation of KITTI's cars detector with DPM","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2128387655","doi":"https://doi.org/10.1109/ivs.2014.6856452","mag":"2128387655"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5007826739","display_name":"J. Javier Yebes","orcid":"https://orcid.org/0000-0002-3028-9525"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Javier Yebes","raw_affiliation_strings":["Universidad de Alcala de Henares, Madrid, Madrid, ES","Dept. of Electron., UAH, Alcala de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcala de Henares, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Electron., UAH, Alcala de Henares, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077780013","display_name":"Luis M. Bergasa","orcid":"https://orcid.org/0000-0002-0087-3077"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis M. Bergasa","raw_affiliation_strings":["Universidad de Alcala de Henares, Madrid, Madrid, ES","Dept. of Electron., UAH, Alcala de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcala de Henares, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Electron., UAH, Alcala de Henares, Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023114838","display_name":"Roberto Arroyo","orcid":"https://orcid.org/0000-0003-2649-0477"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Arroyo","raw_affiliation_strings":["Universidad de Alcala de Henares, Madrid, Madrid, ES","Dept. of Electron., UAH, Alcala de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcala de Henares, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Electron., UAH, Alcala de Henares, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052498331","display_name":"Alberto Lazaro","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Lazaro","raw_affiliation_strings":["Universidad de Alcala de Henares, Madrid, Madrid, ES","Dept. of Electron., UAH, Alcala de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad de Alcala de Henares, Madrid, Madrid, ES","institution_ids":["https://openalex.org/I189268942"]},{"raw_affiliation_string":"Dept. of Electron., UAH, Alcala de Henares, Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.461,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94386801,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"768","last_page":"773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.9991000294685364,"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/discriminative-model","display_name":"Discriminative model","score":0.8428878784179688},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7733026742935181},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7185316681861877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157275676727295},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.708458662033081},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7069929838180542},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.6757059097290039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6262429356575012},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5894851684570312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5297083854675293},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5162784457206726},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4918098747730255},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4870179295539856},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44394034147262573},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3215257525444031},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15861371159553528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06877535581588745}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8428878784179688},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7733026742935181},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7185316681861877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157275676727295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.708458662033081},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7069929838180542},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.6757059097290039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6262429356575012},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5894851684570312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5297083854675293},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5162784457206726},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4918098747730255},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4870179295539856},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44394034147262573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3215257525444031},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15861371159553528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06877535581588745},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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":3,"locations":[{"id":"doi:10.1109/ivs.2014.6856452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.713.32","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.713.32","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.robesafe.uah.es/personal/javier.yebes/docs/Yebes14iv.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.725.9078","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.725.9078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.robesafe.com/personal/roberto.arroyo/docs/Yebes14iv.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1494504319","https://openalex.org/W1560380655","https://openalex.org/W1964725035","https://openalex.org/W2001054718","https://openalex.org/W2031454541","https://openalex.org/W2031489346","https://openalex.org/W2046875449","https://openalex.org/W2055207897","https://openalex.org/W2065485838","https://openalex.org/W2085805060","https://openalex.org/W2098245519","https://openalex.org/W2107942601","https://openalex.org/W2111087635","https://openalex.org/W2111640202","https://openalex.org/W2126628495","https://openalex.org/W2127494692","https://openalex.org/W2128942651","https://openalex.org/W2131963406","https://openalex.org/W2150066425","https://openalex.org/W2151541671","https://openalex.org/W2155904486","https://openalex.org/W2168356304","https://openalex.org/W2601116187","https://openalex.org/W2911760676","https://openalex.org/W4293682399","https://openalex.org/W6633519119","https://openalex.org/W6675133265","https://openalex.org/W6676080546","https://openalex.org/W6676694772","https://openalex.org/W6735708646"],"related_works":["https://openalex.org/W4231704780","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2083794993","https://openalex.org/W352609212"],"abstract_inverted_index":{"This":[0],"paper":[1],"carries":[2],"out":[3],"a":[4,11,16,42,62,78,99],"discussion":[5],"on":[6,50,61,111],"the":[7,24,33,51,58,75,87,115,118],"supervised":[8,100],"learning":[9],"of":[10,32,45,77,83,105,117],"car":[12],"detector":[13,97],"built":[14],"as":[15,30,68],"Discriminative":[17],"Part-based":[18],"Model":[19],"(DPM)":[20],"from":[21],"images":[22],"in":[23,98,108],"recently":[25],"published":[26],"KITTI":[27],"benchmark":[28],"suite":[29],"part":[31],"object":[34,96],"detection":[35],"and":[36,47,56,64,73,86],"orientation":[37],"estimation":[38],"challenge.":[39],"We":[40,102],"present":[41],"wide":[43],"set":[44],"experiments":[46],"many":[48],"hints":[49],"different":[52],"ways":[53],"to":[54,93,121],"supervise":[55],"enhance":[57],"well-known":[59],"DPM":[60,88],"challenging":[63],"naturalistic":[65],"urban":[66],"dataset":[67,124],"KITTI.":[69],"The":[70],"evaluation":[71],"algorithm":[72],"metrics,":[74],"selection":[76],"clean":[79],"but":[80],"representative":[81],"subset":[82],"training":[84],"samples":[85],"tuning":[89],"are":[90],"key":[91],"factors":[92],"learn":[94],"an":[95,122],"fashion.":[101],"provide":[103],"evidence":[104],"subtle":[106],"differences":[107],"performance":[109],"depending":[110],"these":[112],"aspects.":[113],"Besides,":[114],"generalization":[116],"trained":[119],"models":[120],"independent":[123],"is":[125],"validated":[126],"by":[127],"5-fold":[128],"cross-validation.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}