{"id":"https://openalex.org/W3166006430","doi":"https://doi.org/10.1109/mlsp52302.2021.9596233","title":"Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection","display_name":"Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W3166006430","doi":"https://doi.org/10.1109/mlsp52302.2021.9596233","mag":"3166006430"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp52302.2021.9596233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.06983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102900886","display_name":"Ashkan Esmaeili","orcid":"https://orcid.org/0000-0003-1564-1962"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashkan Esmaeili","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038914007","display_name":"Mohsen Joneidi","orcid":"https://orcid.org/0000-0001-5955-4049"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Joneidi","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060693930","display_name":"Mehrdad Salimitari","orcid":"https://orcid.org/0000-0001-9243-9480"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehrdad Salimitari","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012895922","display_name":"Umar Khalid","orcid":"https://orcid.org/0000-0001-5440-0542"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umar Khalid","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109495751","display_name":"Nazanin Rahnavard","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazanin Rahnavard","raw_affiliation_strings":["University of Central Florida, Orlando, USA","University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Electrical & Computer Engineering,Orlando,USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05590145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.917961597442627},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.8808040618896484},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.7963274717330933},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6886945962905884},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6051654815673828},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5895580649375916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5075632333755493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46711644530296326},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4548131227493286},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4541087746620178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44720330834388733},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.44595199823379517},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.43721234798431396},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4182211756706238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3884580731391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2266659438610077},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08070164918899536},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07349473237991333}],"concepts":[{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.917961597442627},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.8808040618896484},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.7963274717330933},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6886945962905884},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6051654815673828},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5895580649375916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5075632333755493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46711644530296326},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4548131227493286},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4541087746620178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44720330834388733},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.44595199823379517},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.43721234798431396},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4182211756706238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3884580731391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2266659438610077},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08070164918899536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07349473237991333},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/mlsp52302.2021.9596233","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp52302.2021.9596233","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.06983","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06983","pdf_url":"https://arxiv.org/pdf/2106.06983","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},{"id":"mag:3166006430","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2106.06983v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2106.06983","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.06983","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"doi:10.17023/dzhm-n906","is_oa":true,"landing_page_url":"https://doi.org/10.17023/dzhm-n906","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.06983","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.06983","pdf_url":"https://arxiv.org/pdf/2106.06983","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3249733049","display_name":null,"funder_award_id":"ECCS-1810256,CCF-1718195","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3166006430.pdf","grobid_xml":"https://content.openalex.org/works/W3166006430.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1736339626","https://openalex.org/W1787402657","https://openalex.org/W1966872876","https://openalex.org/W2089135543","https://openalex.org/W2127856853","https://openalex.org/W2133884101","https://openalex.org/W2141696759","https://openalex.org/W2160941318","https://openalex.org/W2194775991","https://openalex.org/W2547648546","https://openalex.org/W2592541154","https://openalex.org/W2728264528","https://openalex.org/W2804068707","https://openalex.org/W2888819926","https://openalex.org/W2950958145","https://openalex.org/W2963877232","https://openalex.org/W2964222875","https://openalex.org/W2971963065","https://openalex.org/W2972401521","https://openalex.org/W2991033093","https://openalex.org/W3015854362","https://openalex.org/W3088364660","https://openalex.org/W3106989732","https://openalex.org/W4240805545","https://openalex.org/W6636968449","https://openalex.org/W6686261702","https://openalex.org/W6732305935","https://openalex.org/W6754593826","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W3212789707","https://openalex.org/W2470359451","https://openalex.org/W2953232890","https://openalex.org/W2096608935","https://openalex.org/W2062570725","https://openalex.org/W2274530000","https://openalex.org/W1822315189","https://openalex.org/W2793522635","https://openalex.org/W2100282471","https://openalex.org/W1926428451","https://openalex.org/W2203750558","https://openalex.org/W2938805307","https://openalex.org/W2624196003","https://openalex.org/W3081084973","https://openalex.org/W2557895864","https://openalex.org/W2065997774","https://openalex.org/W3132212223","https://openalex.org/W3004722026","https://openalex.org/W2259185762","https://openalex.org/W2058072244"],"abstract_inverted_index":{"The":[0,14],"problem":[1],"of":[2,20,42,59,65,97,107,114],"simultaneous":[3],"column":[4,15],"and":[5,17,28,119,126],"row":[6,18],"subset":[7,64],"selection":[8,121],"is":[9,51,70,91],"addressed":[10],"in":[11,93,122],"this":[12,46],"paper.":[13],"space":[16,19],"a":[21,63,94,102],"matrix":[22,88],"are":[23,37],"spanned":[24],"by":[25],"its":[26],"left":[27],"right":[29],"singular":[30,35],"vectors,":[31],"respectively.":[32],"However,":[33],"the":[34,43,55,86,112],"vectors":[36],"not":[38],"within":[39],"actual":[40,66],"columns/rows":[41,60],"matrix.":[44],"In":[45],"paper,":[47],"an":[48,82],"iterative":[49],"approach":[50],"proposed":[52],"to":[53,72],"capture":[54],"most":[56],"structural":[57],"information":[58],"via":[61],"selecting":[62],"columns/rows.":[67,109],"This":[68],"algorithm":[69],"referred":[71],"as":[73],"two-way":[74],"spectrum":[75],"pursuit":[76],"(TWSP)":[77],"which":[78],"provides":[79],"us":[80],"with":[81],"efficient":[83,127],"solution":[84],"for":[85,116],"CUR":[87],"decomposition.":[89],"TWSP":[90,115],"applicable":[92],"wide":[95],"range":[96],"applications":[98],"since":[99],"it":[100],"enjoys":[101],"linear":[103],"complexity":[104],"w.r.t.":[105],"number":[106],"original":[108],"We":[110],"demonstrated":[111],"application":[113],"joint":[117],"channel":[118],"sensor":[120],"cognitive":[123],"radio":[124],"networks":[125],"supervised":[128],"data":[129],"reduction.":[130]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}