{"id":"https://openalex.org/W2888818931","doi":"https://doi.org/10.1109/ccece.2018.8447761","title":"A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition","display_name":"A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2888818931","doi":"https://doi.org/10.1109/ccece.2018.8447761","mag":"2888818931"},"language":"en","primary_location":{"id":"doi:10.1109/ccece.2018.8447761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2018.8447761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)","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/A5026184889","display_name":"Fatma Naiar","orcid":null},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Fatma Naiar","raw_affiliation_strings":["Universit\u00e9 de Tunis El Manar, ENIT, Lab: Robotique Informatique et Systemes Complexes, Tunis, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, ENIT, Lab: Robotique Informatique et Systemes Complexes, Tunis, Tunisie","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024097894","display_name":"Sami Bourouis","orcid":"https://orcid.org/0000-0002-6638-7039"},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Sami Bourouis","raw_affiliation_strings":["Taif University, Taif, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","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":["The Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056759341","display_name":"Safya Belghith","orcid":"https://orcid.org/0000-0001-7408-7848"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Safya Belghith","raw_affiliation_strings":["Universit\u00e9 de Tunis El Manar, ENIT, Lab: Robotique Informatique et Systemes Complexes, Tunis, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, ENIT, Lab: Robotique Informatique et Systemes Complexes, Tunis, Tunisie","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5343,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.91845253,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.996999979019165,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.996999979019165,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9904999732971191,"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/T10320","display_name":"Neural Networks and Applications","score":0.9876000285148621,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7949676513671875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661908745765686},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5657505393028259},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.5401095747947693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378517508506775},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5058709979057312},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4724700152873993},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4618500769138336},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.45694786310195923},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4475211203098297},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4437037706375122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42003333568573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41772839426994324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.270002543926239},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08082589507102966}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7949676513671875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661908745765686},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5657505393028259},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.5401095747947693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378517508506775},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5058709979057312},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4724700152873993},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4618500769138336},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.45694786310195923},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4475211203098297},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4437037706375122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42003333568573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41772839426994324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.270002543926239},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08082589507102966},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece.2018.8447761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece.2018.8447761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE)","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":30,"referenced_works":["https://openalex.org/W10810736","https://openalex.org/W1506806321","https://openalex.org/W1589362500","https://openalex.org/W1625255723","https://openalex.org/W1970787568","https://openalex.org/W1981143901","https://openalex.org/W2010838375","https://openalex.org/W2033996602","https://openalex.org/W2038765747","https://openalex.org/W2069820356","https://openalex.org/W2096370614","https://openalex.org/W2116820400","https://openalex.org/W2145898069","https://openalex.org/W2147625498","https://openalex.org/W2158169396","https://openalex.org/W2180635266","https://openalex.org/W2293417027","https://openalex.org/W2301366302","https://openalex.org/W2503835474","https://openalex.org/W2547980226","https://openalex.org/W2685712812","https://openalex.org/W2792612132","https://openalex.org/W2793631173","https://openalex.org/W2804552401","https://openalex.org/W6600448088","https://openalex.org/W6630259505","https://openalex.org/W6636494156","https://openalex.org/W6645447721","https://openalex.org/W6677113369","https://openalex.org/W6751818997"],"related_works":["https://openalex.org/W2015240834","https://openalex.org/W4297094204","https://openalex.org/W2086688912","https://openalex.org/W1530312010","https://openalex.org/W2790402973","https://openalex.org/W3123111387","https://openalex.org/W2963872526","https://openalex.org/W2052337532","https://openalex.org/W3093998065","https://openalex.org/W2091300140"],"abstract_inverted_index":{"Multivariate":[0],"generalized":[1,49],"Gaussian":[2,50],"distribution":[3],"has":[4],"been":[5],"an":[6],"attractive":[7],"solution":[8],"to":[9,39,65,71],"many":[10],"signal":[11],"and":[12,70],"image":[13],"processing":[14],"applications.":[15],"Therefore,":[16],"efficient":[17],"estimation":[18,43],"of":[19,23,29,35],"its":[20,73],"parameters":[21,53],"is":[22,38,63],"significant":[24],"interest":[25],"for":[26,45],"a":[27,41],"number":[28],"research":[30],"problems.":[31],"The":[32],"main":[33],"contribution":[34],"this":[36],"paper":[37],"develop":[40],"fixed-point":[42],"algorithm":[44],"learning":[46],"the":[47],"multivariate":[48],"mixture":[51],"model's":[52],"(MGGMM).":[54],"A":[55],"challenging":[56],"application":[57],"that":[58],"concerns":[59],"Human":[60],"action":[61],"recognition":[62],"deployed":[64],"validate":[66],"our":[67],"statistical":[68],"framework":[69],"show":[72],"merits.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}