{"id":"https://openalex.org/W3110714599","doi":"https://doi.org/10.1109/smc42975.2020.9283011","title":"Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling","display_name":"Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3110714599","doi":"https://doi.org/10.1109/smc42975.2020.9283011","mag":"3110714599"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5087528123","display_name":"Samr Ali","orcid":"https://orcid.org/0000-0003-4068-709X"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samr Ali","raw_affiliation_strings":["Concordia University, Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090600716","display_name":"Nizar Bouguila","orcid":"https://orcid.org/0000-0001-7224-7940"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nizar Bouguila","raw_affiliation_strings":["Concordia Institute for Information Systems Engineering, Concordia University, Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia Institute for Information Systems Engineering, Concordia University, Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0854,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37083816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"4081","last_page":"4087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action 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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action 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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9987999796867371,"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":0.8313592672348022},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.77338707447052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6422591805458069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5939207077026367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5464805364608765},{"id":"https://openalex.org/keywords/dirichlet-process","display_name":"Dirichlet process","score":0.5372893810272217},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48287513852119446},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.4738512337207794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4292648732662201},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.4154038727283478},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.41275206208229065},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3395741581916809},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.2803921699523926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26812678575515747},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.25217539072036743},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08628609776496887}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8313592672348022},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.77338707447052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6422591805458069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5939207077026367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5464805364608765},{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.5372893810272217},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48287513852119446},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.4738512337207794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4292648732662201},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.4154038727283478},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.41275206208229065},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3395741581916809},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.2803921699523926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26812678575515747},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.25217539072036743},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08628609776496887},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W967827082","https://openalex.org/W1498429882","https://openalex.org/W1505641881","https://openalex.org/W1587070286","https://openalex.org/W1972525513","https://openalex.org/W1976566382","https://openalex.org/W1994972523","https://openalex.org/W2000930721","https://openalex.org/W2001983900","https://openalex.org/W2056109357","https://openalex.org/W2059997481","https://openalex.org/W2068611653","https://openalex.org/W2080104526","https://openalex.org/W2082697323","https://openalex.org/W2105101328","https://openalex.org/W2105594594","https://openalex.org/W2126574503","https://openalex.org/W2140617711","https://openalex.org/W2159088388","https://openalex.org/W2163352848","https://openalex.org/W2169962072","https://openalex.org/W2186953502","https://openalex.org/W2268677531","https://openalex.org/W2340432910","https://openalex.org/W2403069539","https://openalex.org/W2473890477","https://openalex.org/W2614128781","https://openalex.org/W2795597953","https://openalex.org/W2963992477","https://openalex.org/W2998926059","https://openalex.org/W3003379904","https://openalex.org/W3047469063","https://openalex.org/W3089871506","https://openalex.org/W4289548274","https://openalex.org/W6713018481"],"related_works":["https://openalex.org/W3121467232","https://openalex.org/W2393894849","https://openalex.org/W2107192713","https://openalex.org/W2027714503","https://openalex.org/W2293157519","https://openalex.org/W3190171609","https://openalex.org/W2118036030","https://openalex.org/W1531847006","https://openalex.org/W2170902875","https://openalex.org/W2544994990"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"models":[2],"(HMM)":[3],"have":[4,67],"recently":[5,70],"risen":[6],"as":[7,40,71],"a":[8,53],"key":[9],"generative":[10],"machine":[11],"learning":[12,60,91,100],"approach":[13,114],"for":[14,29,59,75,90,98],"time":[15],"series":[16],"data":[17],"study":[18],"and":[19,46,63,124],"analysis.":[20],"While":[21],"early":[22],"works":[23],"focused":[24],"only":[25],"on":[26,115],"applying":[27],"HMMs":[28,32,65],"speech":[30],"recognition,":[31],"are":[33],"now":[34],"prominent":[35],"in":[36],"various":[37],"fields":[38],"such":[39],"stock":[41],"market":[42],"forecasting,":[43],"video":[44],"classification,":[45],"genomics.":[47],"In":[48,80],"this":[49],"paper,":[50],"we":[51],"develop":[52],"Maximum":[54],"A":[55],"Posteriori":[56],"(MAP)":[57],"framework":[58],"the":[61,83,93,99,102,107],"Dirichlet":[62],"Beta-Liouville":[64],"that":[66],"been":[68],"proposed":[69,94,113],"an":[72],"efficient":[73],"way":[74],"modeling":[76],"sequential":[77],"proportional":[78],"data.":[79],"contrast":[81],"to":[82],"conventional":[84],"Baum":[85],"Welch":[86],"algorithm,":[87],"commonly":[88],"used":[89],"HMMs,":[92],"algorithm":[95],"places":[96],"priors":[97],"of":[101],"desired":[103],"parameters;":[104],"hence,":[105],"regularizing":[106],"estimation":[108],"process.":[109],"We":[110],"validate":[111],"our":[112],"two":[116],"challenging":[117],"real":[118],"applications;":[119],"namely,":[120],"dynamic":[121],"texture":[122],"classification":[123],"infrared":[125],"action":[126],"recognition.":[127]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}