{"id":"https://openalex.org/W2155035037","doi":"https://doi.org/10.1109/siu.2014.6830197","title":"A novel objective function minimization for sparse spatial filters","display_name":"A novel objective function minimization for sparse spatial filters","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2155035037","doi":"https://doi.org/10.1109/siu.2014.6830197","mag":"2155035037"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2014.6830197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","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/A5105231625","display_name":"\u0130brahim Onaran","orcid":"https://orcid.org/0000-0002-7769-4077"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibrahim Onaran","raw_affiliation_strings":["Biomedical Engineering Department, University of Houston"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, University of Houston","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007415393","display_name":"Nuri F. Ince","orcid":"https://orcid.org/0000-0003-4985-4528"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Firat Ince","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113644545","display_name":"A. Enis \u00c7etin","orcid":"https://orcid.org/0009-0009-7700-7124"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"A. Enis Cetin","raw_affiliation_strings":["Bilkent Universitesi, Ankara, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilkent Universitesi, Ankara, TR","institution_ids":["https://openalex.org/I168864056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9980000257492065,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6543319225311279},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6379121541976929},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49130716919898987},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4586375653743744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43379804491996765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4285736680030823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3731726408004761}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543319225311279},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6379121541976929},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49130716919898987},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4586375653743744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43379804491996765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4285736680030823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3731726408004761},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/siu.2014.6830197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2014.6830197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.bilkent.edu.tr:11693/27463","is_oa":false,"landing_page_url":"http://hdl.handle.net/11693/27463","pdf_url":null,"source":{"id":"https://openalex.org/S4306400079","display_name":"Bilkent University Institutional Repository (Bilkent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168864056","host_organization_name":"Bilkent University","host_organization_lineage":["https://openalex.org/I168864056"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 22nd Signal Processing and Communications Applications Conference, SIU 2014","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1503768823","https://openalex.org/W1504194272","https://openalex.org/W1700600349","https://openalex.org/W1963881761","https://openalex.org/W2099509424","https://openalex.org/W2100409538","https://openalex.org/W2138145347","https://openalex.org/W2142280324","https://openalex.org/W2142492665","https://openalex.org/W2148980251","https://openalex.org/W2153635508","https://openalex.org/W2170317771","https://openalex.org/W6637430234","https://openalex.org/W6680599301","https://openalex.org/W6682133450"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2544423928","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2062023542","https://openalex.org/W4313731559"],"abstract_inverted_index":{"Common":[0],"spatial":[1,26],"pattern":[2],"(CSP)":[3],"method":[4,30,89,106,118,123],"is":[5,41,47,75,107,135],"widely":[6],"used":[7,76],"in":[8,63,77],"brain":[9],"machine":[10],"interface":[11],"(BMI)":[12],"applications":[13],"to":[14,49,109,128],"extract":[15],"features":[16],"from":[17],"the":[18,33,36,70,92,111,120],"multichannel":[19,53],"neural":[20],"activity":[21],"through":[22],"a":[23,84,96],"set":[24],"of":[25,38,52,72,95],"projections.":[27],"The":[28,104],"CSP":[29,122],"easily":[31],"overfits":[32],"data":[34,115],"when":[35],"number":[37],"training":[39],"trials":[40],"not":[42],"sufficiently":[43],"large":[44],"and":[45,124,133],"it":[46,134],"sensitive":[48],"daily":[50],"variation":[51],"electrode":[54],"placement,":[55],"which":[56],"limits":[57],"its":[58],"applicability":[59],"for":[60],"everyday":[61],"use":[62],"BMI":[64],"systems.":[65],"To":[66],"overcome":[67],"these":[68],"problems,":[69],"amount":[71],"channels":[73],"that":[74,90],"projections,":[78],"should":[79],"be":[80],"limited.":[81],"We":[82],"introduce":[83],"spatially":[85],"sparse":[86],"projection":[87],"(SSP)":[88],"exploits":[91],"unconstrained":[93],"minimization":[94],"new":[97],"objective":[98],"function":[99],"with":[100,137],"approximated":[101],"l\\":[102],"penalty.":[103],"SSP":[105],"employed":[108],"classify":[110],"two":[112],"class":[113],"EEG":[114],"set.":[116],"Our":[117],"outperforms":[119],"standard":[121],"provides":[125],"comparable":[126],"results":[127],"\u00a3o":[129],"norm":[130],"based":[131],"solution":[132],"associated":[136],"less":[138],"computational":[139],"complexity.":[140]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}