{"id":"https://openalex.org/W2163719403","doi":"https://doi.org/10.1109/icassp.2006.1660436","title":"Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation","display_name":"Contextual Estimation Of Hidden Markov Chains With Application To Image Segmentation","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2163719403","doi":"https://doi.org/10.1109/icassp.2006.1660436","mag":"2163719403"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091679067","display_name":"St\u00e9phane Derrode","orcid":"https://orcid.org/0000-0002-2865-2057"},"institutions":[{"id":"https://openalex.org/I4210125985","display_name":"Institut Fresnel","ror":"https://ror.org/03br1wy20","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210095849","https://openalex.org/I4210125985","https://openalex.org/I4210142724"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Derrode","raw_affiliation_strings":["GSM, Institut Fresnel (UMR 6133), EGIM Nord, Fac. Paul Cezanne, Dom. Univ. St Jerome, 13013 Marseille cedex 20, Fr; GRIFT, Lab. Cristal, Ec. Nat. des Sci. de I'Inform., Camp. Univ. La Manouba, 2010 Manouba, Tn. stephane.derrode@egim-mrs.fr","GSM, Institut Fresnel (UMR 6133), EGIM Nord, Fac. Paul Cezanne, Dom. Univ. St Jerome, 13013 Marseille cedex 20, Fr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GSM, Institut Fresnel (UMR 6133), EGIM Nord, Fac. Paul Cezanne, Dom. Univ. St Jerome, 13013 Marseille cedex 20, Fr; GRIFT, Lab. Cristal, Ec. Nat. des Sci. de I'Inform., Camp. Univ. La Manouba, 2010 Manouba, Tn. stephane.derrode@egim-mrs.fr","institution_ids":["https://openalex.org/I4210125985"]},{"raw_affiliation_string":"GSM, Institut Fresnel (UMR 6133), EGIM Nord, Fac. Paul Cezanne, Dom. Univ. St Jerome, 13013 Marseille cedex 20, Fr","institution_ids":["https://openalex.org/I4210125985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090233158","display_name":"Lamia Benyoussef","orcid":null},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"L. BenYoussef","raw_affiliation_strings":["GRIFT, Laboratory Cristal, Ec. Nat. des Sci. de l'Inform, Camp. University La Manouba, Mannouba, Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GRIFT, Laboratory Cristal, Ec. Nat. des Sci. de l'Inform, Camp. University La Manouba, Mannouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062348685","display_name":"Wojciech Pieczynski","orcid":"https://orcid.org/0000-0002-1371-2627"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. Pieczynski","raw_affiliation_strings":["CITI Dpt., UMR 5157, Evry, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CITI Dpt., UMR 5157, Evry, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9921000003814697,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9807999730110168,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9621999859809875,"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/computation","display_name":"Computation","score":0.7155458927154541},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7128088474273682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6679942011833191},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6365161538124084},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6347920894622803},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6009325385093689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5499682426452637},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5483024716377258},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5207193493843079},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49295616149902344},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.4724964201450348},{"id":"https://openalex.org/keywords/forward-algorithm","display_name":"Forward algorithm","score":0.4650614857673645},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4431784152984619},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.43454355001449585},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.41539692878723145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2926326096057892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25891315937042236},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1539991796016693}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7155458927154541},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7128088474273682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6679942011833191},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6365161538124084},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6347920894622803},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6009325385093689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5499682426452637},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5483024716377258},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5207193493843079},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49295616149902344},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.4724964201450348},{"id":"https://openalex.org/C196455857","wikidata":"https://www.wikidata.org/wiki/Q5473264","display_name":"Forward algorithm","level":5,"score":0.4650614857673645},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4431784152984619},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.43454355001449585},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.41539692878723145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2926326096057892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25891315937042236},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1539991796016693}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2006.1660436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2006.1660436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.76.8916","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.8916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-public.int-evry.fr/~pieczyn/C74.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00082716v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00082716","pdf_url":null,"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":"Int. Conf. on Acoustics, Speech and Signal Processing, 2006, Toulouse, France","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1979395711","https://openalex.org/W2005900670","https://openalex.org/W2076364662","https://openalex.org/W2086699924","https://openalex.org/W2170622722","https://openalex.org/W3148572827","https://openalex.org/W4285719527","https://openalex.org/W6601586459"],"related_works":["https://openalex.org/W2382132287","https://openalex.org/W1510894296","https://openalex.org/W2161328464","https://openalex.org/W2116722627","https://openalex.org/W2379938888","https://openalex.org/W2284415848","https://openalex.org/W2738224259","https://openalex.org/W2134386692","https://openalex.org/W2799426416","https://openalex.org/W2566202039"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,41],"contextual":[4],"algorithm":[5,34],"for":[6,51],"the":[7,20,32,49,58],"computation":[8],"of":[9,22,43,75],"Baum's":[10],"forward":[11],"and":[12,46,68,77],"backward":[13],"probabilities,":[14],"which":[15],"are":[16],"intensively":[17],"used":[18],"in":[19],"framework":[21],"hidden":[23],"Markov":[24],"chain":[25,50],"(HMC)":[26],"models.":[27],"The":[28],"method":[29],"differs":[30],"from":[31],"original":[33],"since":[35],"it":[36],"only":[37],"takes":[38],"into":[39],"account":[40],"neighborhood":[42,59],"limited":[44],"length":[45],"not":[47,69],"all":[48],"computations.":[52],"Comparative":[53],"experiments":[54],"with":[55],"respect":[56],"to":[57],"size":[60],"have":[61],"been":[62],"conducted":[63],"on":[64],"both":[65],"Markovian":[66,70],"(simulations)":[67],"(images)":[71],"data,":[72],"by":[73],"mean":[74],"supervised":[76],"unsupervised":[78],"classifications":[79]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
