{"id":"https://openalex.org/W25904493","doi":"https://doi.org/10.1007/978-3-319-12640-1_8","title":"A New Energy Model for the Hidden Markov Random Fields","display_name":"A New Energy Model for the Hidden Markov Random Fields","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W25904493","doi":"https://doi.org/10.1007/978-3-319-12640-1_8","mag":"25904493"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-12640-1_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-12640-1_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5103021210","display_name":"J\u00e9r\u00e9mie Sublime","orcid":"https://orcid.org/0000-0003-0508-8550"},"institutions":[{"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"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J\u00e9r\u00e9mie Sublime","raw_affiliation_strings":["AgroParisTech, INRA - UMR 518 MIA, F-75005, Paris, France","Laboratoire d\u2019Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech, INRA - UMR 518 MIA, F-75005, Paris, France","institution_ids":["https://openalex.org/I22248866"]},{"raw_affiliation_string":"Laboratoire d\u2019Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4210091279","https://openalex.org/I4210091437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050061032","display_name":"Antoine Cornu\u00e9jols","orcid":"https://orcid.org/0000-0002-2979-3521"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Cornu\u00e9jols","raw_affiliation_strings":["AgroParisTech, INRA - UMR 518 MIA, F-75005, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AgroParisTech, INRA - UMR 518 MIA, F-75005, Paris, France","institution_ids":["https://openalex.org/I22248866"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019338743","display_name":"Youn\u00e8s Bennani","orcid":"https://orcid.org/0000-0003-3667-3357"},"institutions":[{"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"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210091437","display_name":"Sorbonne Paris Cit\u00e9","ror":"https://ror.org/001z21q04","country_code":"FR","type":"other","lineage":["https://openalex.org/I4210091437"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Youn\u00e8s Bennani","raw_affiliation_strings":["Laboratoire d\u2019Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France","Laboratoire d'Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d\u2019Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4210091279","https://openalex.org/I4210091437"]},{"raw_affiliation_string":"Laboratoire d'Informatique de Paris-Nord - CNRS UMR 7030, Universit\u00e9 Paris 13 - Sorbonne Paris Cit\u00e9, 99 Avenue Jean Baptiste Cl\u00e9ment, 93430, Villetaneuse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I204730241","https://openalex.org/I4210091279","https://openalex.org/I4210091437","https://openalex.org/I4210156583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.7192,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72544509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980000257492065,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980000257492065,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8111478686332703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7916726469993591},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.6304754018783569},{"id":"https://openalex.org/keywords/formalism","display_name":"Formalism (music)","score":0.5911673903465271},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.5887847542762756},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.564574658870697},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4952355921268463},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.49430251121520996},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4825286567211151},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.47635722160339355},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.4581652283668518},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43093883991241455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4298381209373474},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4162362217903137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2595213055610657},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14387822151184082},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06819307804107666}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8111478686332703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7916726469993591},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.6304754018783569},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.5911673903465271},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.5887847542762756},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.564574658870697},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4952355921268463},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.49430251121520996},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4825286567211151},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.47635722160339355},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.4581652283668518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43093883991241455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4298381209373474},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4162362217903137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2595213055610657},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14387822151184082},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06819307804107666},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-12640-1_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-12640-1_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:hal-01565549v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01565549","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":"https://archives-publications.inrae.fr/399093.pdf","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W830018481","https://openalex.org/W1554544485","https://openalex.org/W1585184721","https://openalex.org/W1965631193","https://openalex.org/W1995945562","https://openalex.org/W2049633694","https://openalex.org/W2082092681","https://openalex.org/W2130184048","https://openalex.org/W2136573752","https://openalex.org/W2475383182"],"related_works":["https://openalex.org/W2382132287","https://openalex.org/W2161328464","https://openalex.org/W2379333870","https://openalex.org/W3113307220","https://openalex.org/W1542903750","https://openalex.org/W3164302780","https://openalex.org/W1510894296","https://openalex.org/W4250171007","https://openalex.org/W4385889111","https://openalex.org/W2361306765"],"abstract_inverted_index":null,"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}