{"id":"https://openalex.org/W2540396284","doi":"https://doi.org/10.1109/iccv.2009.5459192","title":"Efficient discriminative learning of parts-based models","display_name":"Efficient discriminative learning of parts-based models","publication_year":2009,"publication_date":"2009-09-01","ids":{"openalex":"https://openalex.org/W2540396284","doi":"https://doi.org/10.1109/iccv.2009.5459192","mag":"2540396284"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2009.5459192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","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/A5018728658","display_name":"Manish Kumar","orcid":"https://orcid.org/0000-0002-1311-0976"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"M Pawan Kumar","raw_affiliation_strings":["University of Oxford, UK"],"affiliations":[{"raw_affiliation_string":"University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057678172","display_name":"Andrew Zisserman","orcid":"https://orcid.org/0000-0002-8945-8573"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew Zisserman","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001534492","display_name":"Philip H. S. Torr","orcid":null},"institutions":[{"id":"https://openalex.org/I124261462","display_name":"Oxford Brookes University","ror":"https://ror.org/04v2twj65","country_code":"GB","type":"education","lineage":["https://openalex.org/I124261462"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip H S Torr","raw_affiliation_strings":["Department of Computing, Oxford Brookes University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Oxford Brookes University, UK","institution_ids":["https://openalex.org/I124261462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018728658"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":7.8738,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.97829697,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"22","issue":null,"first_page":"552","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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":0.998199999332428,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9954000115394592,"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":0.6195908784866333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6191594004631042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6001025438308716},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5083906054496765},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5004410743713379},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4597269892692566},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44923123717308044},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4376218914985657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41291457414627075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3497602343559265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31613975763320923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2806839644908905}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6195908784866333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6191594004631042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6001025438308716},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5083906054496765},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5004410743713379},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4597269892692566},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44923123717308044},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4376218914985657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41291457414627075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3497602343559265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31613975763320923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2806839644908905},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2009.5459192","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2009.5459192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE 12th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.301.4728","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cms.brookes.ac.uk/staff/PhilipTorr/Papers/2009/ICCV09/Discriminative.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1525954826","https://openalex.org/W1552060966","https://openalex.org/W1576520375","https://openalex.org/W1587328194","https://openalex.org/W1744214816","https://openalex.org/W2020934501","https://openalex.org/W2022215984","https://openalex.org/W2022699039","https://openalex.org/W2045798786","https://openalex.org/W2095975117","https://openalex.org/W2097041931","https://openalex.org/W2099712288","https://openalex.org/W2105488551","https://openalex.org/W2105644991","https://openalex.org/W2110416306","https://openalex.org/W2114741181","https://openalex.org/W2120419212","https://openalex.org/W2120995095","https://openalex.org/W2126666380","https://openalex.org/W2130513366","https://openalex.org/W2140200866","https://openalex.org/W2142571543","https://openalex.org/W2156539399","https://openalex.org/W2156909104","https://openalex.org/W2159080219","https://openalex.org/W2161969291","https://openalex.org/W2296770417","https://openalex.org/W2318485605","https://openalex.org/W2429914308","https://openalex.org/W2798766386","https://openalex.org/W4244633107","https://openalex.org/W6611723228","https://openalex.org/W6631399749","https://openalex.org/W6633236808","https://openalex.org/W6634442568","https://openalex.org/W6635131150","https://openalex.org/W6637760914","https://openalex.org/W6656077339","https://openalex.org/W6675760969","https://openalex.org/W6679459161","https://openalex.org/W6682736280","https://openalex.org/W6683608245","https://openalex.org/W6750230808"],"related_works":["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/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"Supervised":[0],"learning":[1],"of":[2,20,23,49,53,83,93,103,124,131,147],"a":[3,14,45,65,90,138,145],"parts-based":[4],"model":[5,58,74,119],"can":[6,32],"be":[7,33],"formulated":[8],"as":[9,126,128,142,144],"an":[10,40,76],"optimization":[11],"problem":[12,31,43],"with":[13,44,137],"large":[15],"(exponential":[16],"in":[17],"the":[18,54,57,62,71,84,94,101,122,129,148],"number":[19,48],"parts)":[21],"set":[22],"constraints.":[24],"We":[25,133],"show":[26,152],"how":[27],"this":[28],"seemingly":[29],"difficult":[30],"solved":[34,88],"by":[35,89],"(i)":[36],"reducing":[37],"it":[38],"to":[39],"equivalent":[41],"convex":[42],"small,":[46],"polynomial":[47],"constraints":[50],"(taking":[51],"advantage":[52],"fact":[55],"that":[56],"is":[59,87],"tree-structured":[60],"and":[61,68,151],"potentials":[63],"have":[64],"special":[66],"form);":[67],"(ii)":[69],"obtaining":[70],"globally":[72],"optimal":[73],"using":[75,112],"efficient":[77],"dual":[78,85],"decomposition":[79,86],"strategy.":[80],"Each":[81],"component":[82],"modified":[91],"version":[92],"highly":[95],"optimized":[96],"SVM-Light":[97],"algorithm.":[98],"To":[99],"demonstrate":[100],"effectiveness":[102],"our":[104,135],"approach,":[105],"we":[106],"learn":[107],"human":[108],"upper":[109],"body":[110],"models":[111],"two":[113],"challenging,":[114],"publicly":[115],"available":[116],"datasets.":[117],"Our":[118],"accounts":[120],"for":[121],"articulation":[123],"humans":[125],"well":[127,143],"occlusion":[130],"parts.":[132],"compare":[134],"method":[136],"baseline":[139],"iterative":[140],"strategy":[141],"state":[146],"art":[149],"algorithm":[150],"significant":[153],"efficiency":[154],"improvements.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}