{"id":"https://openalex.org/W2128989803","doi":"https://doi.org/10.1109/tip.2010.2068556","title":"Contextual Object Localization With Multiple Kernel Nearest Neighbor","display_name":"Contextual Object Localization With Multiple Kernel Nearest Neighbor","publication_year":2010,"publication_date":"2010-08-24","ids":{"openalex":"https://openalex.org/W2128989803","doi":"https://doi.org/10.1109/tip.2010.2068556","mag":"2128989803","pmid":"https://pubmed.ncbi.nlm.nih.gov/20736139"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2010.2068556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2068556","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5010404092","display_name":"Brian McFee","orcid":"https://orcid.org/0000-0001-6261-9747"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I4210132395","display_name":"University of California San Diego Medical Center","ror":"https://ror.org/03aw5sn18","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2800935791","https://openalex.org/I4210132395"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian McFee","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA 92093, USA. bmcfee@cs.ucsd.edu","Department of Computer Science and Engineering, University of California San Diego, CA, USA;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA 92093, USA. bmcfee@cs.ucsd.edu","institution_ids":["https://openalex.org/I36258959","https://openalex.org/I4210132395"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California San Diego, CA, USA;","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069215643","display_name":"Carolina Galleguillos","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carolina Galleguillos","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California, San Diego, CA, USA","Department of Computer Science and Engineering, University of California San Diego, CA, USA;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California San Diego, CA, USA;","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003709708","display_name":"Gert Lanckriet","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gert Lanckriet","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA","Dept of Electr. & Comput. Eng., Univ. of California, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Dept of Electr. & Comput. Eng., Univ. of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9335,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87299986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"2","first_page":"570","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/conditional-random-field","display_name":"Conditional random field","score":0.7204707860946655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916913986206055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6658541560173035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5548332333564758},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5385075807571411},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.5354943871498108},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.45120111107826233},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44455865025520325},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44021284580230713},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4316251277923584},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4296777844429016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33701175451278687}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7204707860946655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916913986206055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6658541560173035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5548332333564758},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5385075807571411},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.5354943871498108},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.45120111107826233},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44455865025520325},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44021284580230713},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4316251277923584},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4296777844429016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33701175451278687},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":4,"locations":[{"id":"doi:10.1109/tip.2010.2068556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2010.2068556","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:20736139","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20736139","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.755","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.755","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cosmal.ucsd.edu/~gert/papers/mklmnn.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.357.9815","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.357.9815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cosmal.ucsd.edu/~bmcfee/papers/contextmklmnn.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1516887802","https://openalex.org/W1528789833","https://openalex.org/W1540155273","https://openalex.org/W1560724230","https://openalex.org/W1589362500","https://openalex.org/W1985093013","https://openalex.org/W2015904350","https://openalex.org/W2017097938","https://openalex.org/W2048088055","https://openalex.org/W2077493928","https://openalex.org/W2081293863","https://openalex.org/W2095844239","https://openalex.org/W2098355199","https://openalex.org/W2100588357","https://openalex.org/W2100824854","https://openalex.org/W2106053110","https://openalex.org/W2111868822","https://openalex.org/W2112935422","https://openalex.org/W2114930007","https://openalex.org/W2115135404","https://openalex.org/W2121043743","https://openalex.org/W2122808326","https://openalex.org/W2124372976","https://openalex.org/W2128962821","https://openalex.org/W2130556178","https://openalex.org/W2130942329","https://openalex.org/W2136261952","https://openalex.org/W2141364309","https://openalex.org/W2142037471","https://openalex.org/W2144502914","https://openalex.org/W2145295623","https://openalex.org/W2151103935","https://openalex.org/W2157035885","https://openalex.org/W2160254296","https://openalex.org/W2162880125","https://openalex.org/W2165181841","https://openalex.org/W2166761907","https://openalex.org/W2186094539","https://openalex.org/W2296319761","https://openalex.org/W2535516436","https://openalex.org/W2536208356","https://openalex.org/W2536626143","https://openalex.org/W2538008885","https://openalex.org/W3195149063","https://openalex.org/W4250589301","https://openalex.org/W4299094297","https://openalex.org/W6630825005","https://openalex.org/W6631412525","https://openalex.org/W6635107798","https://openalex.org/W6641446668","https://openalex.org/W6674646328","https://openalex.org/W6674793120","https://openalex.org/W6675751002","https://openalex.org/W6677296758","https://openalex.org/W6680332746","https://openalex.org/W6680933886","https://openalex.org/W6682855966","https://openalex.org/W6686583229","https://openalex.org/W7052261358"],"related_works":["https://openalex.org/W2947903144","https://openalex.org/W2126384842","https://openalex.org/W2174643736","https://openalex.org/W2063482314","https://openalex.org/W2505639562","https://openalex.org/W4298379512","https://openalex.org/W2088429322","https://openalex.org/W4302024746","https://openalex.org/W2614913722","https://openalex.org/W2128989803"],"abstract_inverted_index":{"Recently,":[0],"many":[1,21],"object":[2,50,77,92,110,152,222],"localization":[3,93],"models":[4,24],"have":[5,25],"shown":[6],"that":[7,94,174,195],"incorporating":[8],"contextual":[9,30,38,70,99,103,123,201,209],"cues":[10,54],"can":[11],"greatly":[12],"improve":[13],"accuracy":[14],"over":[15],"using":[16],"appearance":[17,73,141,215],"features":[18,74],"alone.":[19],"Therefore,":[20],"of":[22,29,37,67,98,117,160],"these":[23],"explored":[26],"different":[27,69,76,96,115,158],"types":[28,159],"sources,":[31],"but":[32],"only":[33],"considering":[34],"one":[35],"level":[36,111,153,211],"interaction":[39,210],"at":[40,105],"the":[41,64,68,106,165],"time.":[42],"Thus,":[43],"what":[44],"context":[45],"could":[46],"truly":[47],"contribute":[48],"to":[49,80,150,170],"localization,":[51],"through":[52],"integrating":[53],"from":[55,132],"all":[56],"levels,":[57],"simultaneously,":[58],"remains":[59,79],"an":[60],"open":[61],"question.":[62],"Moreover,":[63],"relative":[65,219],"importance":[66,220],"levels":[71,97],"and":[72,109,122,137,143,188,203],"across":[75],"classes":[78],"be":[81],"explored.":[82],"Here":[83],"we":[84,163],"introduce":[85],"a":[86,128,146,171],"novel":[87,172],"framework":[88,126],"for":[89,207,221],"multiple":[90,133,176],"class":[91],"incorporates":[95],"interactions.":[100,154],"We":[101,178],"study":[102],"interactions":[104,139],"pixel,":[107],"region":[108,138],"based":[112],"upon":[113],"three":[114,182],"sources":[116],"context:":[118],"semantic,":[119],"boundary":[120],"support,":[121],"neighborhoods.":[124],"Our":[125],"learns":[127],"single":[129],"similarity":[130],"metric":[131],"kernels,":[134],"combining":[135],"pixel":[136],"with":[140],"features,":[142,216],"then":[144],"applies":[145],"conditional":[147],"random":[148],"field":[149],"incorporate":[151],"To":[155],"effectively":[156],"integrate":[157],"feature":[161],"descriptions,":[162],"extend":[164],"large":[166],"margin":[167],"nearest":[168],"neighbor":[169],"algorithm":[173],"supports":[175],"kernels.":[177],"perform":[179],"experiments":[180],"on":[181],"challenging":[183],"image":[184],"databases:":[185],"Graz-02,":[186],"MSRC":[187],"PASCAL":[189],"VOC":[190],"2007.":[191],"Experimental":[192],"results":[193],"show":[194],"our":[196],"model":[197],"outperforms":[198],"current":[199],"state-of-the-art":[200],"frameworks":[202],"reveals":[204],"individual":[205],"contributions":[206],"each":[208],"as":[212,214],"well":[213],"indicating":[217],"their":[218],"localization.":[223]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
