{"id":"https://openalex.org/W3215670988","doi":"https://doi.org/10.1109/isncc52172.2021.9615829","title":"Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting","display_name":"Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W3215670988","doi":"https://doi.org/10.1109/isncc52172.2021.9615829","mag":"3215670988"},"language":"en","primary_location":{"id":"doi:10.1109/isncc52172.2021.9615829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5008356954","display_name":"Ahmed Rebei","orcid":"https://orcid.org/0000-0001-5742-0135"},"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":"Ahmed Rebei","raw_affiliation_strings":["CIISE, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIISE, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040738910","display_name":"Oumayma Dalhoumi","orcid":"https://orcid.org/0000-0003-3625-4275"},"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":"Oumayma Dalhoumi","raw_affiliation_strings":["CIISE, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIISE, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091833816","display_name":"Narges Manouchehri","orcid":"https://orcid.org/0000-0002-3011-5162"},"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":"Narges Manouchehri","raw_affiliation_strings":["CIISE, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIISE, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028100722","display_name":"Ali Baghdadi","orcid":null},"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":"Ali Baghdadi","raw_affiliation_strings":["CIISE, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIISE, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008962576","display_name":"Manar Amayri","orcid":"https://orcid.org/0000-0002-5610-8833"},"institutions":[{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210094718","display_name":"Laboratoire des Sciences pour la Conception, l'Optimisation et la Production","ror":"https://ror.org/00rv5x925","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210094718","https://openalex.org/I4210159245","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Manar Amayri","raw_affiliation_strings":["G-SCOP Lab, Grenoble Institute of Technology, Grenoble, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"G-SCOP Lab, Grenoble Institute of Technology, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210094718"]}]},{"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":["CIISE, Concordia University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIISE, Concordia University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17404855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"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":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9786999821662903,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9781000018119812,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6723699569702148},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.664936900138855},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6048170328140259},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5701273083686829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5107450485229492},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.430692583322525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4174567759037018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41739022731781006},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4113602638244629},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11276915669441223},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07973816990852356}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6723699569702148},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.664936900138855},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6048170328140259},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5701273083686829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5107450485229492},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.430692583322525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4174567759037018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41739022731781006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4113602638244629},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11276915669441223},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07973816990852356},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc52172.2021.9615829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W939578378","https://openalex.org/W1587070286","https://openalex.org/W1599494361","https://openalex.org/W1601795611","https://openalex.org/W1978492954","https://openalex.org/W2002002766","https://openalex.org/W2041993031","https://openalex.org/W2050453099","https://openalex.org/W2054780155","https://openalex.org/W2107192713","https://openalex.org/W2121359844","https://openalex.org/W2124716447","https://openalex.org/W2144245426","https://openalex.org/W2488678869","https://openalex.org/W2557695132","https://openalex.org/W2604726822","https://openalex.org/W2951929328","https://openalex.org/W3018648671","https://openalex.org/W3103402818","https://openalex.org/W6605479355","https://openalex.org/W6678280795"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W2357796999","https://openalex.org/W4300649792","https://openalex.org/W3041490575","https://openalex.org/W2785953858","https://openalex.org/W2963204549","https://openalex.org/W2970690932","https://openalex.org/W4321135767","https://openalex.org/W2069619724"],"abstract_inverted_index":{"Variational":[0],"inference":[1],"approaches":[2],"are":[3,10],"gaining":[4],"more":[5,7],"and":[6,9],"success":[8],"applied":[11],"in":[12,49],"various":[13],"data":[14],"mining":[15],"applications.":[16],"In":[17],"this":[18,64],"work,":[19],"we":[20,35],"present":[21],"a":[22],"variational":[23],"learning":[24],"framework":[25],"for":[26],"the":[27,45,54,57,61],"Shifted":[28],"Scaled":[29],"Dirichlet":[30],"finite":[31],"mixture":[32],"model.":[33],"Furthermore,":[34],"introduce":[36],"component":[37],"splitting":[38],"based":[39],"on":[40,66],"Entropy":[41],"approximation":[42],"to":[43,72],"estimate":[44],"number":[46],"of":[47,56,63],"components":[48],"our":[50],"model":[51,65],"along":[52],"with":[53],"parameters":[55],"distribution.":[58],"We":[59],"test":[60],"performance":[62],"two":[67],"real-life":[68],"datasets,":[69],"both":[70],"related":[71],"human":[73],"activity":[74],"recognition.":[75]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
