{"id":"https://openalex.org/W2148549310","doi":"https://doi.org/10.1109/icpr.2002.1048265","title":"Relational graph labelling using learning techniques and Markov random fields","display_name":"Relational graph labelling using learning techniques and Markov random fields","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2148549310","doi":"https://doi.org/10.1109/icpr.2002.1048265","mag":"2148549310"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5072376874","display_name":"Denis Rivi\u00e8re","orcid":"https://orcid.org/0000-0002-1902-2213"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"D. Riviere","raw_affiliation_strings":["Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France"],"affiliations":[{"raw_affiliation_string":"Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112333123","display_name":"J.-F. Mangin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-F. Mangin","raw_affiliation_strings":["Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France"],"affiliations":[{"raw_affiliation_string":"Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087811055","display_name":"Jean\u2010Marc Martinez","orcid":"https://orcid.org/0000-0003-1281-9614"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-M. Martinez","raw_affiliation_strings":["Service dE28099Etudes des R\u00e9acteurs et de Math\u00e9matiques Appliqu\u00e9es, C.E.A., France"],"affiliations":[{"raw_affiliation_string":"Service dE28099Etudes des R\u00e9acteurs et de Math\u00e9matiques Appliqu\u00e9es, C.E.A., France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852561","display_name":"Florence Tupin","orcid":"https://orcid.org/0000-0002-3110-8183"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Tupin","raw_affiliation_strings":["D\u00e9partement Image, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France"],"affiliations":[{"raw_affiliation_string":"D\u00e9partement Image, Ecole Nationale Sup\u00e9rieure des T\u00e9I\u00e9communications, Paris, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063754646","display_name":"Dimitri Papadopoulos Orfanos","orcid":"https://orcid.org/0000-0002-1242-8990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Papadopoulos-Orfanos","raw_affiliation_strings":["Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France"],"affiliations":[{"raw_affiliation_string":"Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078842273","display_name":"Vincent Frouin","orcid":"https://orcid.org/0000-0001-9360-6623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. Frouin","raw_affiliation_strings":["Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France"],"affiliations":[{"raw_affiliation_string":"Service Hospitalier Fr\u00e9d\u00e9ric Joliot, C.E.A., France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072376874"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21540933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"172","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9911999702453613,"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/T11106","display_name":"Data Management and Algorithms","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/labelling","display_name":"Labelling","score":0.7879757881164551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7065646648406982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6571451425552368},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6257351636886597},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5880840420722961},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5601403117179871},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5484087467193604},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4633987247943878},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4612525701522827},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4591808021068573},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.44368892908096313},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41648975014686584},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26427286863327026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2135935127735138},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15232816338539124},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.10955402255058289}],"concepts":[{"id":"https://openalex.org/C2780523633","wikidata":"https://www.wikidata.org/wiki/Q380709","display_name":"Labelling","level":2,"score":0.7879757881164551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7065646648406982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6571451425552368},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6257351636886597},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5880840420722961},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5601403117179871},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5484087467193604},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4633987247943878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4612525701522827},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4591808021068573},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.44368892908096313},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41648975014686584},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26427286863327026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2135935127735138},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15232816338539124},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.10955402255058289},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1048265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.13.1224","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.1224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://brainvisa.free.fr/pdf/riviere-ICPR02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1512538053","https://openalex.org/W1720306554","https://openalex.org/W2000732749","https://openalex.org/W2002134117","https://openalex.org/W2020999234","https://openalex.org/W2144572173","https://openalex.org/W2148694408","https://openalex.org/W2150884987","https://openalex.org/W2157629899","https://openalex.org/W4292023222","https://openalex.org/W6682887833"],"related_works":["https://openalex.org/W1525479493","https://openalex.org/W1976633635","https://openalex.org/W2396436470","https://openalex.org/W1970064489","https://openalex.org/W4241622628","https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2413828414","https://openalex.org/W2367222340"],"abstract_inverted_index":{"This":[0,120],"paper":[1,121],"introduces":[2],"an":[3],"approach":[4],"for":[5,125],"handling":[6],"complex":[7],"labelling":[8,104],"problems":[9],"driven":[10],"by":[11,18,90,113],"local":[12,118,128],"constraints.":[13],"The":[14,55,100],"purpose":[15],"is":[16,57,106],"illustrated":[17],"two":[19],"applications:":[20],"detection":[21],"of":[22,32,74,97,102,109,116,132],"the":[23,33,45,95,103,107,110,114,117],"road":[24],"network":[25],"on":[26,36],"radar":[27],"satellite":[28],"images,":[29],"and":[30,135],"recognition":[31],"cortical":[34],"sulci":[35],"MRI":[37],"images.":[38],"Features":[39],"must":[40],"be":[41,82],"initially":[42],"extracted":[43],"from":[44],"data":[46],"to":[47,58,81,94],"build":[48],"a":[49,63,67,72,123],"\"feature":[50,98],"graph\"":[51],"with":[52,62],"structural":[53],"relations.":[54],"goal":[56],"endow":[59],"each":[60],"feature":[61],"label":[64],"representing":[65],"either":[66],"specific":[68],"object":[69],"(recognition),":[70],"or":[71],"class":[73],"objects":[75],"(detection).":[76],"Some":[77],"contextual":[78],"constraints":[79],"have":[80],"respected":[83],"during":[84],"this":[85],"labelling.":[86],"They":[87],"are":[88],"modelled":[89],"Markovian":[91],"potentials":[92,129],"assigned":[93],"labellings":[96],"clusters\".":[99],"solution":[101],"problem":[105],"minimum":[108],"energy":[111],"defined":[112],"sum":[115],"potentials.":[119],"develops":[122],"method":[124],"learning":[126],"these":[127],"using":[130],"\"congregation\"":[131],"neural":[133],"networks":[134],"supervised":[136],"learning.":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}