{"id":"https://openalex.org/W2088844072","doi":"https://doi.org/10.1109/tsp.2010.2044251","title":"Learning Sparse Representation Using Iterative Subspace Identification","display_name":"Learning Sparse Representation Using Iterative Subspace Identification","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2088844072","doi":"https://doi.org/10.1109/tsp.2010.2044251","mag":"2088844072"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2010.2044251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2044251","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-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/A5086943231","display_name":"B. Vikrham Gowreesunker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146378","display_name":"Applications Research (United States)","ror":"https://ror.org/048kv9325","country_code":"US","type":"company","lineage":["https://openalex.org/I4210146378"]},{"id":"https://openalex.org/I74760111","display_name":"Texas Instruments (United States)","ror":"https://ror.org/03vsmv677","country_code":"US","type":"company","lineage":["https://openalex.org/I74760111"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Vikrham Gowreesunker","raw_affiliation_strings":["Systems and Applications Research and Development Center, Texas Instruments, Inc., Dallas, TX, USA","Syst. & Applic. R&D Center, Texas Instrum., Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems and Applications Research and Development Center, Texas Instruments, Inc., Dallas, TX, USA","institution_ids":["https://openalex.org/I4210146378","https://openalex.org/I74760111"]},{"raw_affiliation_string":"Syst. & Applic. R&D Center, Texas Instrum., Dallas, TX, USA","institution_ids":["https://openalex.org/I74760111"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089360428","display_name":"Ahmed H. Tewfik","orcid":"https://orcid.org/0000-0002-2384-4391"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed H. Tewfik","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, MN, USA","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, MN, USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5581,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95814325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"6","first_page":"3055","last_page":"3065"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","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/T10860","display_name":"Speech and Audio Processing","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/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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7344297170639038},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6960402727127075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6507115960121155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5466206669807434},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5286973714828491},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5243849158287048},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5211120247840881},{"id":"https://openalex.org/keywords/underdetermined-system","display_name":"Underdetermined system","score":0.5205415487289429},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4988222122192383},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4790119528770447},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.4671354293823242},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.46407559514045715},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4437941610813141},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4434288442134857},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3821853697299957},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26248741149902344}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7344297170639038},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6960402727127075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6507115960121155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5466206669807434},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5286973714828491},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5243849158287048},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5211120247840881},{"id":"https://openalex.org/C179690561","wikidata":"https://www.wikidata.org/wiki/Q4316110","display_name":"Underdetermined system","level":2,"score":0.5205415487289429},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4988222122192383},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4790119528770447},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4671354293823242},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.46407559514045715},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4437941610813141},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4434288442134857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3821853697299957},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26248741149902344},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2010.2044251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2044251","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W43282915","https://openalex.org/W1503652430","https://openalex.org/W1520616765","https://openalex.org/W1527917680","https://openalex.org/W1533128638","https://openalex.org/W1576854369","https://openalex.org/W1581094561","https://openalex.org/W1606778734","https://openalex.org/W1634005169","https://openalex.org/W1834558362","https://openalex.org/W1951629768","https://openalex.org/W1963756374","https://openalex.org/W1968495228","https://openalex.org/W1974774078","https://openalex.org/W1986931325","https://openalex.org/W1986997779","https://openalex.org/W1987906574","https://openalex.org/W2010724616","https://openalex.org/W2023630749","https://openalex.org/W2038237443","https://openalex.org/W2050000141","https://openalex.org/W2050237878","https://openalex.org/W2054570546","https://openalex.org/W2061659108","https://openalex.org/W2074054045","https://openalex.org/W2102380305","https://openalex.org/W2103543783","https://openalex.org/W2105464873","https://openalex.org/W2105745686","https://openalex.org/W2115755118","https://openalex.org/W2116104824","https://openalex.org/W2122531013","https://openalex.org/W2123804611","https://openalex.org/W2126444227","https://openalex.org/W2126534699","https://openalex.org/W2127565671","https://openalex.org/W2127851351","https://openalex.org/W2128659236","https://openalex.org/W2140499889","https://openalex.org/W2142940228","https://openalex.org/W2145012779","https://openalex.org/W2149969975","https://openalex.org/W2151693816","https://openalex.org/W2155399784","https://openalex.org/W2158576618","https://openalex.org/W2160547390","https://openalex.org/W2161219071","https://openalex.org/W2497866075","https://openalex.org/W3146886987","https://openalex.org/W3217596123","https://openalex.org/W6631772773","https://openalex.org/W6634329496","https://openalex.org/W6638405277","https://openalex.org/W6647052384","https://openalex.org/W6677274373","https://openalex.org/W6996728299"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2997320962","https://openalex.org/W2015341305","https://openalex.org/W4287906532","https://openalex.org/W2654090051","https://openalex.org/W2045397219","https://openalex.org/W2141283678"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"the":[5,16,34,37,40,78,88,91,103,112,116,145,148],"iterative":[6],"subspace":[7,21],"identification":[8,22],"(ISI)":[9],"algorithm":[10,80],"for":[11],"learning":[12],"subspaces":[13,38,47],"in":[14,29,69,132],"which":[15],"data":[17,41,54],"may":[18],"live.":[19],"Our":[20],"method":[23,28,93],"differs":[24],"from":[25,39],"currently":[26],"available":[27],"its":[30,130],"ability":[31,89],"to":[32,51,94,99,121],"infer":[33],"dimension":[35],"of":[36,90,137,147],"without":[42],"prior":[43],"knowledge.":[44],"The":[45],"learned":[46],"can":[48,65],"be":[49,66],"combined":[50],"produce":[52,95],"a":[53,82,123],"driven":[55],"overcomplete":[56],"dictionary":[57],"with":[58,102,107],"good":[59],"sparseness":[60,73,146],"and":[61,81],"generalizability":[62],"qualities,":[63],"or":[64],"directly":[67,142],"exploited":[68],"applications":[70],"where":[71,139],"block":[72],"is":[74,141],"needed.":[75],"We":[76,86,127],"describe":[77],"ISI":[79],"complementary":[83],"optimization":[84],"method.":[85],"demonstrate":[87],"proposed":[92],"sparse":[96],"representations":[97],"comparable":[98],"those":[100],"achieved":[101],"K-SVD":[104],"algorithm,":[105],"but":[106],"less":[108],"than":[109],"one":[110],"eighth":[111],"training":[113,125],"time.":[114],"Furthermore,":[115],"computation":[117],"savings":[118],"allows":[119],"us":[120],"develop":[122],"shift-tolerant":[124],"procedure.":[126],"also":[128],"illustrate":[129],"benefits":[131],"underdetermined":[133],"blind":[134],"source":[135],"separation":[136],"audio,":[138],"performance":[140],"impacted":[143],"by":[144],"representation.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
