{"id":"https://openalex.org/W2114689202","doi":"https://doi.org/10.1109/mlsp.2011.6064584","title":"A maximum likelihood approach for independent vector analysis of Gaussian data sets","display_name":"A maximum likelihood approach for independent vector analysis of Gaussian data sets","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2114689202","doi":"https://doi.org/10.1109/mlsp.2011.6064584","mag":"2114689202"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2011.6064584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","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/A5071269640","display_name":"Javier V\u00eda","orcid":"https://orcid.org/0000-0001-7853-0069"},"institutions":[{"id":"https://openalex.org/I13134134","display_name":"Universidad de Cantabria","ror":"https://ror.org/046ffzj20","country_code":"ES","type":"education","lineage":["https://openalex.org/I13134134"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Via","raw_affiliation_strings":["Department of Communications Engineering, University of Cantabria, Spain","Department of communication Engineering University of Cantabria-Santander-Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Cantabria, Spain","institution_ids":["https://openalex.org/I13134134"]},{"raw_affiliation_string":"Department of communication Engineering University of Cantabria-Santander-Spain","institution_ids":["https://openalex.org/I13134134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103203988","display_name":"Matthew Anderson","orcid":"https://orcid.org/0000-0001-8878-8143"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Anderson","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, USA","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, USA","institution_ids":["https://openalex.org/I126744593"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639669","display_name":"Xi-Lin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xi-Lin Li","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, USA","[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, USA","institution_ids":["https://openalex.org/I126744593"]},{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060798483","display_name":"T\u00fclay Adal\u0131","orcid":"https://orcid.org/0000-0003-0594-2796"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tulay Adali","raw_affiliation_strings":["[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA]","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8726,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86413964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5936341285705566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5398489832878113},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.536280632019043},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.517885684967041},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5166383385658264},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4894956350326538},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.48051390051841736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4775320291519165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46000391244888306},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.458124041557312},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4543624520301819},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43981197476387024},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4230797290802002},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4114491641521454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3743186593055725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2927607297897339},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.24923965334892273}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5936341285705566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5398489832878113},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.536280632019043},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.517885684967041},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5166383385658264},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4894956350326538},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.48051390051841736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4775320291519165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46000391244888306},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.458124041557312},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4543624520301819},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43981197476387024},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4230797290802002},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4114491641521454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3743186593055725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2927607297897339},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.24923965334892273},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2011.6064584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","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":20,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W1588424744","https://openalex.org/W1845880232","https://openalex.org/W1975077471","https://openalex.org/W2001600470","https://openalex.org/W2025341678","https://openalex.org/W2081689238","https://openalex.org/W2103449537","https://openalex.org/W2124195644","https://openalex.org/W2131436045","https://openalex.org/W2132499607","https://openalex.org/W2142975003","https://openalex.org/W2148150708","https://openalex.org/W2172007398","https://openalex.org/W2963261555","https://openalex.org/W4205778870","https://openalex.org/W4237951138","https://openalex.org/W4285719527","https://openalex.org/W6634941687","https://openalex.org/W6681158929"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,58],"novel":[4],"algorithm":[5,34,95],"for":[6],"independent":[7],"vector":[8],"analysis":[9,64],"(IVA)":[10],"of":[11,39,47,61,72,82,92,100,115],"Gaussian":[12],"data":[13],"sets.":[14],"Following":[15],"maximum":[17],"likelihood":[18],"(ML)":[19],"approach,":[20],"we":[21],"show":[22],"that":[23],"the":[24,31,40,44,69,79,83,93,109],"cost":[25,86],"function":[26],"to":[27,36],"be":[28,55],"minimized":[29],"by":[30,98],"proposed":[32,51,94],"GML-IVA":[33],"reduces":[35],"an":[37,105],"estimate":[38],"mutual":[41],"information":[42],"among":[43],"different":[45,73],"sets":[46],"latent":[48],"variables.":[49],"The":[50,88],"method,":[52],"which":[53],"can":[54],"seen":[56],"as":[57],"new":[59],"generalization":[60],"canonical":[62],"correlation":[63],"(CCA),":[65],"is":[66],"based":[67],"on":[68],"sequential":[70],"solution":[71],"least":[74],"squares":[75],"problems":[76],"obtained":[77],"from":[78],"quadratic":[80],"approximation":[81],"non-convex":[84],"IVA":[85],"function.":[87],"convergence":[89],"and":[90],"performance":[91],"are":[96],"illustrated":[97],"means":[99],"several":[101],"simulation":[102],"examples,":[103],"including":[104],"application":[106],"consisting":[107],"in":[108],"joint":[110],"blind":[111],"source":[112],"separation":[113],"(J-BSS)":[114],"three":[116],"color":[117],"images.":[118]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
