{"id":"https://openalex.org/W2593958796","doi":"https://doi.org/10.3390/e19030089","title":"Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements","display_name":"Optimization of Alpha-Beta Log-Det Divergences and their Application in the Spatial Filtering of Two Class Motor Imagery Movements","publication_year":2017,"publication_date":"2017-02-25","ids":{"openalex":"https://openalex.org/W2593958796","doi":"https://doi.org/10.3390/e19030089","mag":"2593958796"},"language":"en","primary_location":{"id":"doi:10.3390/e19030089","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19030089","pdf_url":"https://www.mdpi.com/1099-4300/19/3/89/pdf?version=1513647706","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/19/3/89/pdf?version=1513647706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006195172","display_name":"Deepa Beeta Thiyam","orcid":"https://orcid.org/0000-0002-4592-9417"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]},{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES","IN"],"is_corresponding":false,"raw_author_name":"Deepa Thiyam","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain","Department of Sensor and Biomedical Technology, School of Electronics Engineering, VIT University, Vellore, Tamil Nadu 632014, India"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain","institution_ids":["https://openalex.org/I79238269"]},{"raw_affiliation_string":"Department of Sensor and Biomedical Technology, School of Electronics Engineering, VIT University, Vellore, Tamil Nadu 632014, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069747667","display_name":"Sergio Cruces","orcid":"https://orcid.org/0000-0003-4121-7137"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sergio Cruces","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001205848","display_name":"Javier Olias","orcid":"https://orcid.org/0000-0002-4416-8273"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Olias","raw_affiliation_strings":["Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Teor\u00eda de la Se\u00f1al y Comunicaciones, Universidad de Sevilla, Camino de los Descubrimientos s/n, Seville 41092, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018676117","display_name":"Andrzej Cichocki","orcid":"https://orcid.org/0000-0002-8364-7226"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"funder","lineage":["https://openalex.org/I99542240"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I125989756","display_name":"Skolkovo Institute of Science and Technology","ror":"https://ror.org/03f9nc143","country_code":"RU","type":"education","lineage":["https://openalex.org/I125989756"]}],"countries":["JP","PL","RU"],"is_corresponding":false,"raw_author_name":"Andrzej Cichocki","raw_affiliation_strings":["Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan","Skolkovo Institute of Science and Technology (Skoltech), Moscow 143026, Russia","Systems Research Institute, Polish Academy of Sciences, Warsaw 01-447, Poland"],"affiliations":[{"raw_affiliation_string":"Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"Skolkovo Institute of Science and Technology (Skoltech), Moscow 143026, Russia","institution_ids":["https://openalex.org/I125989756"]},{"raw_affiliation_string":"Systems Research Institute, Polish Academy of Sciences, Warsaw 01-447, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069747667"],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":2.2429,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88975463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"89","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9972000122070312,"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":0.9972000122070312,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9735000133514404,"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/covariance","display_name":"Covariance","score":0.6099514961242676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5956338047981262},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5473371744155884},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49771931767463684},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4914819002151489},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.46976399421691895},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.45240268111228943},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.44879287481307983},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.4258997142314911},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3914620578289032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3584666848182678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3483099937438965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34541958570480347},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13651412725448608}],"concepts":[{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6099514961242676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5956338047981262},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5473371744155884},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49771931767463684},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4914819002151489},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.46976399421691895},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.45240268111228943},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.44879287481307983},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.4258997142314911},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3914620578289032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3584666848182678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3483099937438965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34541958570480347},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13651412725448608},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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":4,"locations":[{"id":"doi:10.3390/e19030089","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19030089","pdf_url":"https://www.mdpi.com/1099-4300/19/3/89/pdf?version=1513647706","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmh:oai:idus.us.es:11441/60436","is_oa":false,"landing_page_url":"https://idus.us.es/handle/11441/60436","pdf_url":null,"source":{"id":"https://openalex.org/S4306400333","display_name":"idUS (Universidad de Sevilla)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79238269","host_organization_name":"Universidad de Sevilla","host_organization_lineage":["https://openalex.org/I79238269"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:9b2e7b5735bc43b0b144f0a557d43d3e","is_oa":true,"landing_page_url":"https://doaj.org/article/9b2e7b5735bc43b0b144f0a557d43d3e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 19, Iss 3, p 89 (2017)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/19/3/89/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e19030089","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 19; Issue 3; Pages: 89","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e19030089","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e19030089","pdf_url":"https://www.mdpi.com/1099-4300/19/3/89/pdf?version=1513647706","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G313959471","display_name":null,"funder_award_id":"TEC2014-53103-P","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593958796.pdf","grobid_xml":"https://content.openalex.org/works/W2593958796.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W566612420","https://openalex.org/W602904462","https://openalex.org/W611103097","https://openalex.org/W1588401315","https://openalex.org/W1590183771","https://openalex.org/W1700600349","https://openalex.org/W1965769973","https://openalex.org/W1967167074","https://openalex.org/W1969632185","https://openalex.org/W1970070014","https://openalex.org/W1970789124","https://openalex.org/W1973574316","https://openalex.org/W1989610012","https://openalex.org/W1991410152","https://openalex.org/W1991750332","https://openalex.org/W1995506038","https://openalex.org/W2008344458","https://openalex.org/W2018040425","https://openalex.org/W2018891159","https://openalex.org/W2030328665","https://openalex.org/W2034638340","https://openalex.org/W2045512849","https://openalex.org/W2052059892","https://openalex.org/W2057219090","https://openalex.org/W2082367612","https://openalex.org/W2094358304","https://openalex.org/W2096597330","https://openalex.org/W2101629643","https://openalex.org/W2103276799","https://openalex.org/W2103587724","https://openalex.org/W2108824330","https://openalex.org/W2109860557","https://openalex.org/W2116308679","https://openalex.org/W2119163516","https://openalex.org/W2129023315","https://openalex.org/W2135378997","https://openalex.org/W2135480347","https://openalex.org/W2142183266","https://openalex.org/W2142280324","https://openalex.org/W2150070703","https://openalex.org/W2152119085","https://openalex.org/W2154626880","https://openalex.org/W2158035059","https://openalex.org/W2159521999","https://openalex.org/W2163756472","https://openalex.org/W2169100533","https://openalex.org/W2170317771","https://openalex.org/W2402939964","https://openalex.org/W2498264865","https://openalex.org/W2498996515","https://openalex.org/W2518806577","https://openalex.org/W2528306447","https://openalex.org/W2554291319","https://openalex.org/W2962772276","https://openalex.org/W2963959237","https://openalex.org/W3100557993","https://openalex.org/W4255333822","https://openalex.org/W4285719527","https://openalex.org/W6635310694","https://openalex.org/W6637430234","https://openalex.org/W6684242912"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W1990207062","https://openalex.org/W4286891655","https://openalex.org/W3209823386","https://openalex.org/W4292532243"],"abstract_inverted_index":{"The":[0,197],"Alpha-Beta":[1,138,189],"Log-Det":[2,139,190],"divergences":[3,10,45,140,191,214],"for":[4,109,133,205],"positive":[5],"definite":[6],"matrices":[7,90],"are":[8,12,19],"flexible":[9],"that":[11,81,143],"parameterized":[13],"by":[14,120],"two":[15],"real":[16],"constants":[17],"and":[18,112,209],"able":[20],"to":[21,48,70,94,145,194],"specialize":[22],"several":[23,213],"relevant":[24],"classical":[25],"cases":[26],"like":[27],"the":[28,32,35,50,55,72,86,96,134,137,163,172,177,183,185,188,207,212],"squared":[29],"Riemannian":[30],"metric,":[31],"Steins":[33],"loss,":[34],"S-divergence,":[36],"etc.":[37],"A":[38,129],"novel":[39],"classification":[40,53],"criterion":[41],"based":[42,181],"on":[43,182],"these":[44],"is":[46,62,79,141,192],"optimized":[47],"address":[49,71],"problem":[51,119],"of":[52,54,85,106,136,165,176,187,211],"motor":[56,178],"imagery":[57,179],"movements.":[58],"This":[59],"research":[60],"paper":[61],"divided":[63],"into":[64],"three":[65],"main":[66],"sections":[67],"in":[68,154,160,215],"order":[69],"above":[73],"mentioned":[74],"problem:":[75],"(1)":[76],"Firstly,":[77],"it":[78,153],"proven":[80],"a":[82,103,116,202],"suitable":[83],"scaling":[84],"class":[87,111],"conditional":[88],"covariance":[89],"can":[91],"be":[92],"used":[93],"link":[95],"Common":[97],"Spatial":[98],"Pattern":[99],"(CSP)":[100],"solution":[101],"with":[102,162],"predefined":[104],"number":[105],"spatial":[107,174],"filters":[108],"each":[110],"its":[113],"representation":[114],"as":[115,148,150],"divergence":[117],"optimization":[118,147,186],"making":[121],"their":[122],"different":[123,216],"filter":[124],"selection":[125],"policies":[126],"compatible;":[127],"(2)":[128],"closed":[130],"form":[131],"formula":[132],"gradient":[135],"derived":[142],"allows":[144],"perform":[146],"well":[149],"easily":[151],"use":[152],"many":[155],"practical":[156],"applications;":[157],"(3)":[158],"Finally,":[159],"similarity":[161],"work":[164],"Samek":[166],"et":[167],"al.":[168],"2014,":[169],"which":[170],"proposed":[171],"robust":[173],"filtering":[175],"movements":[180],"beta-divergence,":[184],"applied":[193],"this":[195],"problem.":[196],"resulting":[198],"subspace":[199],"algorithm":[200],"provides":[201],"unified":[203],"framework":[204],"testing":[206],"performance":[208],"robustness":[210],"scenarios.":[217]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
