{"id":"https://openalex.org/W2111073379","doi":"https://doi.org/10.1109/cvpr.2008.4587607","title":"Context-dependent kernel design for object matching and recognition","display_name":"Context-dependent kernel design for object matching and recognition","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2111073379","doi":"https://doi.org/10.1109/cvpr.2008.4587607","mag":"2111073379"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://enpc.hal.science/hal-00835081v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029896607","display_name":"Hichem Sahbi","orcid":"https://orcid.org/0000-0001-6813-9146"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Sahbi","raw_affiliation_strings":["UMR 5141, CNRS, Telecom ParisTech, France","Telecom ParisTech, CNRS, Paris"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMR 5141, CNRS, Telecom ParisTech, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Telecom ParisTech, CNRS, Paris","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045885816","display_name":"Jean-Yves Audibert","orcid":null},"institutions":[{"id":"https://openalex.org/I142631665","display_name":"\u00c9cole nationale des ponts et chauss\u00e9es","ror":"https://ror.org/02nwvxz07","country_code":"FR","type":"education","lineage":["https://openalex.org/I142631665","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Yves Audibert","raw_affiliation_strings":["Certis Laboratory, ENPC ParisTech, France","Certis Lab, ENPC ParisTech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Certis Laboratory, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I142631665"]},{"raw_affiliation_string":"Certis Lab, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028991812","display_name":"Jaonary Rabarisoa","orcid":null},"institutions":[{"id":"https://openalex.org/I142631665","display_name":"\u00c9cole nationale des ponts et chauss\u00e9es","ror":"https://ror.org/02nwvxz07","country_code":"FR","type":"education","lineage":["https://openalex.org/I142631665","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jaonary Rabarisoa","raw_affiliation_strings":["Certis Laboratory, ENPC ParisTech, France","Certis Lab, ENPC ParisTech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Certis Laboratory, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I142631665"]},{"raw_affiliation_string":"Certis Lab, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111878926","display_name":"Renaud Keriven","orcid":null},"institutions":[{"id":"https://openalex.org/I142631665","display_name":"\u00c9cole nationale des ponts et chauss\u00e9es","ror":"https://ror.org/02nwvxz07","country_code":"FR","type":"education","lineage":["https://openalex.org/I142631665","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud Keriven","raw_affiliation_strings":["Certis Laboratory, ENPC ParisTech, France","Certis Lab, ENPC ParisTech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Certis Laboratory, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583","https://openalex.org/I142631665"]},{"raw_affiliation_string":"Certis Lab, ENPC ParisTech, France","institution_ids":["https://openalex.org/I190752583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"8"},"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/T10057","display_name":"Face and Expression Recognition","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/T10824","display_name":"Image Retrieval and Classification Techniques","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/kernel","display_name":"Kernel (algebra)","score":0.6573101282119751},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6478769779205322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.632814347743988},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6274903416633606},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5954387784004211},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5626923441886902},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.555898129940033},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.541348934173584},{"id":"https://openalex.org/keywords/polynomial-kernel","display_name":"Polynomial kernel","score":0.4812483489513397},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.45586657524108887},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4517273008823395},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4435705244541168},{"id":"https://openalex.org/keywords/graph-kernel","display_name":"Graph kernel","score":0.41747185587882996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35552138090133667}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6573101282119751},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6478769779205322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.632814347743988},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6274903416633606},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5954387784004211},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5626923441886902},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.555898129940033},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.541348934173584},{"id":"https://openalex.org/C160446489","wikidata":"https://www.wikidata.org/wiki/Q7226642","display_name":"Polynomial kernel","level":4,"score":0.4812483489513397},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.45586657524108887},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4517273008823395},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4435705244541168},{"id":"https://openalex.org/C100595998","wikidata":"https://www.wikidata.org/wiki/Q11731931","display_name":"Graph kernel","level":5,"score":0.41747185587882996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35552138090133667},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/cvpr.2008.4587607","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00835081v1","is_oa":true,"landing_page_url":"https://enpc.hal.science/hal-00835081","pdf_url":"https://enpc.hal.science/hal-00835081v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR, Jun 2008, Anchorage, United States. pp.1-8","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.131","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.di.ens.fr/willow/pdfs/CVPR08c.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.7786","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.7786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cermics.enpc.fr/~audibert/Mes%20articles/CVPR08c.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.9420","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.9420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/CVPR2008/Conference/data/papers/267.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.333.1606","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.333.1606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://certis.enpc.fr/publications/papers/CVPR08c.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.396.555","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.396.555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal-enpc.archives-ouvertes.fr/docs/00/83/50/81/PDF/CVPR08c.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00835081v1","is_oa":true,"landing_page_url":"https://enpc.hal.science/hal-00835081","pdf_url":"https://enpc.hal.science/hal-00835081v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"CVPR, Jun 2008, Anchorage, United States. pp.1-8","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2111073379.pdf","grobid_xml":"https://content.openalex.org/works/W2111073379.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1503387401","https://openalex.org/W1542652324","https://openalex.org/W1563088657","https://openalex.org/W1576213419","https://openalex.org/W1581601423","https://openalex.org/W1645165343","https://openalex.org/W1652032443","https://openalex.org/W1663973292","https://openalex.org/W1983989471","https://openalex.org/W2024181699","https://openalex.org/W2057175746","https://openalex.org/W2087347434","https://openalex.org/W2098770944","https://openalex.org/W2105004615","https://openalex.org/W2106159958","https://openalex.org/W2108444897","https://openalex.org/W2111308925","https://openalex.org/W2117138194","https://openalex.org/W2118972857","https://openalex.org/W2124087378","https://openalex.org/W2124158580","https://openalex.org/W2126326837","https://openalex.org/W2131213661","https://openalex.org/W2131479089","https://openalex.org/W2134692386","https://openalex.org/W2139739675","https://openalex.org/W2148603752","https://openalex.org/W2149298154","https://openalex.org/W2151103935","https://openalex.org/W2153653739","https://openalex.org/W2157041524","https://openalex.org/W2157629193","https://openalex.org/W2159727956","https://openalex.org/W2164598857","https://openalex.org/W2186094539","https://openalex.org/W2435338979","https://openalex.org/W2914885528","https://openalex.org/W3005890292","https://openalex.org/W4254375519","https://openalex.org/W6629510986","https://openalex.org/W6632505218","https://openalex.org/W6634338208","https://openalex.org/W6678649364","https://openalex.org/W6686583229","https://openalex.org/W6718488237"],"related_works":["https://openalex.org/W3013206934","https://openalex.org/W4311138679","https://openalex.org/W2090782076","https://openalex.org/W2371165991","https://openalex.org/W4401177601","https://openalex.org/W1590832708","https://openalex.org/W2130792056","https://openalex.org/W1983263273","https://openalex.org/W2147750455","https://openalex.org/W2515338903"],"abstract_inverted_index":{"The":[0],"success":[1],"of":[2,15,62,72,95,118],"kernel":[3,63,124,142],"methods":[4],"including":[5],"support":[6],"vector":[7],"networks":[8],"(SVMs)":[9],"strongly":[10],"depends":[11],"on":[12,55,134],"the":[13,93,104,116,129],"design":[14],"appropriate":[16],"kernels.":[17,151],"While":[18],"initially":[19],"kernels":[20],"were":[21],"designed":[22],"in":[23,52,143],"order":[24],"to":[25,31,65],"handle":[26],"fixed-length":[27],"data,":[28],"their":[29],"extension":[30],"unordered,":[32],"variable-length":[33],"data":[34],"became":[35],"more":[36],"than":[37],"necessary":[38],"for":[39],"real":[40],"pattern":[41],"recognition":[42,47,57,136],"problems":[43],"such":[44],"as":[45,66,70],"object":[46,56,105,135],"and":[48,107],"bioinformatics.":[49],"We":[50,112],"focus":[51],"this":[53,119],"paper":[54],"using":[58],"a":[59,88,99,109,122],"new":[60],"type":[61],"referred":[64],"ldquocontext-dependentrdquo.":[67],"Objects,":[68],"seen":[69],"constellations":[71],"local":[73],"features":[74],"(interest":[75],"points,":[76],"regions,":[77],"etc.),":[78],"are":[79],"matched":[80],"by":[81],"minimizing":[82],"an":[83],"energy":[84,120],"function":[85],"mixing":[86],"(1)":[87],"fidelity":[89],"term":[90],"which":[91,102,126],"measures":[92],"quality":[94],"feature":[96],"matching,":[97],"(2)":[98],"neighborhood":[100],"criteria":[101],"captures":[103],"geometry":[106],"(3)":[108],"regularization":[110],"term.":[111],"will":[113],"show":[114,137],"that":[115,138],"fixed-point":[117],"is":[121],"ldquocontext-dependentrdquo":[123],"(ldquoCDKrdquo)":[125],"also":[127],"satisfies":[128],"Mercer":[130],"condition.":[131],"Experiments":[132],"conducted":[133],"when":[139],"plugging":[140],"our":[141],"SVMs,":[144],"we":[145],"clearly":[146],"outperform":[147],"SVMs":[148],"with":[149],"ldquocontext-freerdquo":[150]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}