{"id":"https://openalex.org/W2115632542","doi":"https://doi.org/10.1109/tbme.2009.2025866","title":"Voxel Selection in fMRI Data Analysis Based on Sparse Representation","display_name":"Voxel Selection in fMRI Data Analysis Based on Sparse Representation","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2115632542","doi":"https://doi.org/10.1109/tbme.2009.2025866","mag":"2115632542","pmid":"https://pubmed.ncbi.nlm.nih.gov/19567340"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2025866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2025866","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100672536","display_name":"Yuanqing Li","orcid":"https://orcid.org/0000-0003-4288-5591"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanqing Li","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China. auyqli@scut.edu.cn","South China University of Technology, Guangzhou, Guangdong, CN"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China. auyqli@scut.edu.cn","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"South China University of Technology, Guangzhou, Guangdong, CN","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054748102","display_name":"Praneeth Namburi","orcid":null},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I4210126319","display_name":"Duke-NUS Medical School","ror":"https://ror.org/02j1m6098","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596","https://openalex.org/I170897317","https://openalex.org/I4210126319"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"P. Namburi","raw_affiliation_strings":["Cognitive Neuroscience Laboratory, DUKE-NUS Graduate Medical School, Singapore, Singapore","Institute for Infocomm Research, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Cognitive Neuroscience Laboratory, DUKE-NUS Graduate Medical School, Singapore, Singapore","institution_ids":["https://openalex.org/I4210126319"]},{"raw_affiliation_string":"Institute for Infocomm Research, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110615211","display_name":"Zhuliang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuliang Yu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031778999","display_name":"Cuntai Guan","orcid":"https://orcid.org/0000-0002-0872-3276"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Cuntai Guan","raw_affiliation_strings":["Institute for Infocomm Research, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute for Infocomm Research, Singapore, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080019095","display_name":"Jianfeng Feng","orcid":"https://orcid.org/0000-0002-9328-5732"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Jianfeng Feng","raw_affiliation_strings":["Centre for Computational Systems Biology, Fudan University, shanghai, china","Department of Computer Science and Mathematics, Warwick University, Coventry, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Computational Systems Biology, Fudan University, shanghai, china","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics, Warwick University, Coventry, UK","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048899636","display_name":"Zhenghui Gu","orcid":"https://orcid.org/0000-0001-9365-2953"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenghui Gu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100672536"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":6.0381,"has_fulltext":false,"cited_by_count":96,"citation_normalized_percentile":{"value":0.97001407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"56","issue":"10","first_page":"2439","last_page":"2451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9882000088691711,"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/voxel","display_name":"Voxel","score":0.7714771628379822},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6364552974700928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5915239453315735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5902698040008545},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5601882934570312},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.54482501745224},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47390544414520264},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.43873894214630127},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4175233244895935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33225393295288086},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.3031243085861206},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1991584300994873},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1193925142288208}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7714771628379822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6364552974700928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5915239453315735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5902698040008545},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5601882934570312},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.54482501745224},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47390544414520264},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.43873894214630127},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4175233244895935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33225393295288086},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3031243085861206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1991584300994873},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1193925142288208},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015999","descriptor_name":"Multivariate Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1109/tbme.2009.2025866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2025866","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:19567340","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19567340","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:wrap.warwick.ac.uk:2438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TBME.2009.2025866","pdf_url":null,"source":{"id":"https://openalex.org/S4306400665","display_name":"Warwick Research Archive Portal (University of Warwick)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39555362","host_organization_name":"University of Warwick","host_organization_lineage":["https://openalex.org/I39555362"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.8205","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.8205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.warwick.ac.uk/~feng/papers/ieee_09_1.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.216.7079","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.7079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dcs.warwick.ac.uk/~feng/papers/YQ_09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W146900863","https://openalex.org/W1533113156","https://openalex.org/W1542945334","https://openalex.org/W1986931325","https://openalex.org/W2025283285","https://openalex.org/W2036084760","https://openalex.org/W2041050058","https://openalex.org/W2050000141","https://openalex.org/W2059982399","https://openalex.org/W2064884852","https://openalex.org/W2089632738","https://openalex.org/W2099151709","https://openalex.org/W2102024628","https://openalex.org/W2105454037","https://openalex.org/W2105464873","https://openalex.org/W2106664807","https://openalex.org/W2108369677","https://openalex.org/W2112532472","https://openalex.org/W2113169966","https://openalex.org/W2115729631","https://openalex.org/W2116649573","https://openalex.org/W2120954952","https://openalex.org/W2126652588","https://openalex.org/W2130698119","https://openalex.org/W2135046866","https://openalex.org/W2136235822","https://openalex.org/W2139105070","https://openalex.org/W2139548979","https://openalex.org/W2140499889","https://openalex.org/W2144473187","https://openalex.org/W2153909896","https://openalex.org/W2154332973","https://openalex.org/W2161195301","https://openalex.org/W2161219071","https://openalex.org/W2172136399","https://openalex.org/W2949112253","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W4235239134","https://openalex.org/W6677097687","https://openalex.org/W6678767255","https://openalex.org/W6680604016","https://openalex.org/W6685514809"],"related_works":["https://openalex.org/W2049578243","https://openalex.org/W1828158523","https://openalex.org/W2122079181","https://openalex.org/W2000145235","https://openalex.org/W1985848810","https://openalex.org/W2889939530","https://openalex.org/W2399195672","https://openalex.org/W3121881699","https://openalex.org/W2748838164","https://openalex.org/W2066015000"],"abstract_inverted_index":{"Multivariate":[0],"pattern":[1],"analysis":[2,215],"approaches":[3],"toward":[4],"detection":[5,27],"of":[6,28,42,66,74,90,93,100,118,131,165,175,200,208,211,224,235],"brain":[7],"regions":[8],"from":[9],"fMRI":[10,151],"data":[11,34],"have":[12],"been":[13],"gaining":[14],"attention":[15],"recently.":[16],"In":[17,39],"this":[18,119,170,218,222],"study,":[19],"we":[20,138],"introduce":[21],"an":[22],"iterative":[23],"sparse-representation-based":[24],"algorithm":[25,76,133,141,177],"for":[26,153,228],"voxels":[29,201,225],"in":[30,69,106,217],"functional":[31,150],"MRI":[32],"(fMRI)":[33],"with":[35,186],"task":[36],"relevant":[37,161],"information.":[38],"each":[40,91],"iteration":[41],"the":[43,64,81,88,94,98,116,129,140,143,155,159,163,166,172,187,206,233],"algorithm,":[44,120],"a":[45,52,107,121,181,198,212],"linear":[46],"programming":[47],"problem":[48],"is":[49,56,63,85,125,193,226],"solved":[50],"and":[51,112,134,180,231],"sparse":[53],"weight":[54,61,82,95,123],"vector":[55,62,83,96,124],"subsequently":[57],"obtained.":[58,126],"The":[59,72],"final":[60],"mean":[65],"those":[67],"obtained":[68],"all":[70],"iterations.":[71],"characteristics":[73,174],"our":[75,132,176,184,196,236],"are":[77,158,178,202],"as":[78],"follows:":[79],"1)":[80],"(output)":[84],"sparse;":[86],"2)":[87],"magnitude":[89],"entry":[92],"represents":[97],"significance":[99],"its":[101,136],"corresponding":[102],"variable":[103],"or":[104,109],"feature":[105],"classification":[108],"regression":[110],"problem;":[111],"3)":[113],"due":[114],"to":[115,142,162],"convergence":[117],"stable":[122],"To":[127],"demonstrate":[128,232],"validity":[130],"illustrate":[135],"application,":[137],"apply":[139],"Pittsburgh":[144],"Brain":[145],"Activity":[146],"Interpretation":[147],"Competition":[148],"2007":[149],"dataset":[152],"selecting":[154],"voxels,":[156],"which":[157],"most":[160],"tasks":[164,230],"subjects.":[167],"Based":[168],"on":[169,205],"dataset,":[171],"aforementioned":[173],"analyzed,":[179],"comparison":[182],"between":[183],"method":[185],"univariate":[188],"general-linear-model-based":[189],"statistical":[190],"parametric":[191],"mapping":[192],"performed.":[194],"Using":[195],"method,":[197],"combination":[199,223],"selected":[203],"based":[204],"principle":[207],"effective/sparse":[209],"representation":[210],"task.":[213],"Data":[214],"results":[216],"paper":[219],"show":[220],"that":[221],"suitable":[227],"decoding":[229],"effectiveness":[234],"method.":[237]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
