{"id":"https://openalex.org/W2170110077","doi":"https://doi.org/10.1109/cvpr.2005.310","title":"Robust Object Detection via Soft Cascade","display_name":"Robust Object Detection via Soft Cascade","publication_year":2005,"publication_date":"2005-07-27","ids":{"openalex":"https://openalex.org/W2170110077","doi":"https://doi.org/10.1109/cvpr.2005.310","mag":"2170110077"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2005.310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.lubomir.org/academic/softcascade.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044186270","display_name":"Lubomir Bourdev","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"L. Bourdev","raw_affiliation_strings":["Office of Technology, Adobe Systems, Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Office of Technology, Adobe Systems, Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102852032","display_name":"Jonathan Brandt","orcid":"https://orcid.org/0009-0004-7926-7097"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Brandt","raw_affiliation_strings":["Office of Technology, Adobe Systems, Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Office of Technology, Adobe Systems, Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.08,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":329,"citation_normalized_percentile":{"value":0.973523,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"2","issue":null,"first_page":"236","last_page":"243"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Learning with Noisy Labels in Machine Learning","score":0.9991,"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/T12535","display_name":"Learning with Noisy Labels in Machine Learning","score":0.9991,"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/T11512","display_name":"Anomaly Detection in High-Dimensional Data","score":0.998,"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/T12072","display_name":"Active Learning in Machine Learning Research","score":0.9975,"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/robust-learning","display_name":"Robust Learning","score":0.577386}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.85629714},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.8219919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75766444},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.71258426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.66770947},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5590954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52308655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49372444},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46565276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14358371},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09680778},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.056491137},{"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/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2005.310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.3554","pdf_url":"http://www.lubomir.org/academic/softcascade.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.190.3554","pdf_url":"http://www.lubomir.org/academic/softcascade.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1553313034","https://openalex.org/W1975846642","https://openalex.org/W2113309238","https://openalex.org/W2140274257","https://openalex.org/W2147474239","https://openalex.org/W2157176527","https://openalex.org/W2160794449","https://openalex.org/W2164302083","https://openalex.org/W2164598857","https://openalex.org/W2166770390","https://openalex.org/W2168020168","https://openalex.org/W2170003605","https://openalex.org/W3214102110"],"related_works":["https://openalex.org/W64588465","https://openalex.org/W3134067061","https://openalex.org/W3120641340","https://openalex.org/W2971551846","https://openalex.org/W2153719181","https://openalex.org/W2117825986","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W1971748923","https://openalex.org/W1566155057"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,9,18,37,53,87],"method":[3,45,67],"for":[4,33,47,52,86],"training":[5,35],"object":[6],"detectors":[7,30],"using":[8],"generalization":[10],"of":[11,26,65,74],"the":[12,27,44,50,75,80],"cascade":[13],"architecture,":[14],"which":[15,78],"results":[16],"in":[17],"detection":[19,55],"rate":[20,59],"and":[21,36,84],"speed":[22,85],"comparable":[23],"to":[24],"that":[25,69],"best":[28],"published":[29],"while":[31],"allowing":[32],"easier":[34],"detector":[38,51],"with":[39],"fewer":[40],"features.":[41],"In":[42],"addition,":[43],"allows":[46],"quickly":[48],"calibrating":[49],"target":[54],"rate,":[56],"false":[57],"positive":[58],"or":[60],"speed.":[61],"One":[62],"important":[63],"advantage":[64],"our":[66],"is":[68],"it":[70],"enables":[71],"systematic":[72],"exploration":[73],"ROC":[76],"surface,":[77],"characterizes":[79],"trade-off":[81],"between":[82],"accuracy":[83],"given":[88],"classifier.":[89]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2170110077","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":35},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":41},{"year":2013,"cited_by_count":29},{"year":2012,"cited_by_count":20}],"updated_date":"2024-11-03T15:07:40.860331","created_date":"2016-06-24"}