{"id":"https://openalex.org/W2768170493","doi":"https://doi.org/10.1109/camsap.2017.8313164","title":"STARK: Structured dictionary learning through rank-one tensor recovery","display_name":"STARK: Structured dictionary learning through rank-one tensor recovery","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2768170493","doi":"https://doi.org/10.1109/camsap.2017.8313164","mag":"2768170493"},"language":"en","primary_location":{"id":"doi:10.1109/camsap.2017.8313164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/1711.04887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000040402","display_name":"Mohsen Ghassemi","orcid":"https://orcid.org/0000-0003-4049-7827"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohsen Ghassemi","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080035133","display_name":"Zahra Shakeri","orcid":"https://orcid.org/0000-0002-3178-2813"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zahra Shakeri","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087162046","display_name":"Anand D. Sarwate","orcid":"https://orcid.org/0000-0001-6123-5282"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anand D. Sarwate","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028718006","display_name":"Waheed U. Bajwa","orcid":"https://orcid.org/0000-0003-4406-5263"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waheed U. Bajwa","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ 08854","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000040402"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.1184,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.41846154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9984999895095825,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kronecker-delta","display_name":"Kronecker delta","score":0.8813621997833252},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7910476922988892},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6572965383529663},{"id":"https://openalex.org/keywords/kronecker-product","display_name":"Kronecker product","score":0.6195009350776672},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5216463208198547},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.5000324249267578},{"id":"https://openalex.org/keywords/tensor-product","display_name":"Tensor product","score":0.4686512351036072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45164817571640015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4484427869319916},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4167368412017822},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41182243824005127},{"id":"https://openalex.org/keywords/algebra-over-a-field","display_name":"Algebra over a field","score":0.3620724081993103},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.23596301674842834},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.18277183175086975}],"concepts":[{"id":"https://openalex.org/C39482219","wikidata":"https://www.wikidata.org/wiki/Q192826","display_name":"Kronecker delta","level":2,"score":0.8813621997833252},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7910476922988892},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6572965383529663},{"id":"https://openalex.org/C46030957","wikidata":"https://www.wikidata.org/wiki/Q1238125","display_name":"Kronecker product","level":3,"score":0.6195009350776672},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5216463208198547},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.5000324249267578},{"id":"https://openalex.org/C51255310","wikidata":"https://www.wikidata.org/wiki/Q1163016","display_name":"Tensor product","level":2,"score":0.4686512351036072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45164817571640015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4484427869319916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4167368412017822},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41182243824005127},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.3620724081993103},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.23596301674842834},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.18277183175086975},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/camsap.2017.8313164","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap.2017.8313164","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.04887","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.04887","pdf_url":"https://arxiv.org/pdf/1711.04887","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":"","raw_type":"text"},{"id":"mag:2768170493","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1711.04887","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":"pmh:oai:alma.01RUT_INST:11664901470004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/conferenceProceeding/STARK-Structured-dictionary-learning-through-rank-one/991031665325504646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"},{"id":"doi:10.48550/arxiv.1711.04887","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.04887","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.04887","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.04887","pdf_url":"https://arxiv.org/pdf/1711.04887","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":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4710930970","display_name":null,"funder_award_id":"CCF-1525276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6271041228","display_name":"CAREER: Signal Processing Through the Lens of Geometry","funder_award_id":"1453073","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6437735313","display_name":"CIF: Small: Active data screening for efficient feature learning","funder_award_id":"1525276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7410136991","display_name":null,"funder_award_id":"W911NF-17-1-0546","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2768170493.pdf","grobid_xml":"https://content.openalex.org/works/W2768170493.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1520871589","https://openalex.org/W1973890885","https://openalex.org/W1979074964","https://openalex.org/W1999905919","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2063509716","https://openalex.org/W2064076387","https://openalex.org/W2073389244","https://openalex.org/W2078677240","https://openalex.org/W2091449379","https://openalex.org/W2103193999","https://openalex.org/W2103972604","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2129297793","https://openalex.org/W2142940228","https://openalex.org/W2160547390","https://openalex.org/W2164278908","https://openalex.org/W2400617046","https://openalex.org/W2592661776","https://openalex.org/W3105524276","https://openalex.org/W4292363360","https://openalex.org/W6643824847","https://openalex.org/W6679363028"],"related_works":["https://openalex.org/W2964330822","https://openalex.org/W2789582299","https://openalex.org/W2787398805","https://openalex.org/W3094042873","https://openalex.org/W2523452257","https://openalex.org/W3098366737","https://openalex.org/W966126569","https://openalex.org/W3048815349","https://openalex.org/W2204885273","https://openalex.org/W3130212419","https://openalex.org/W2990624874","https://openalex.org/W2743606449","https://openalex.org/W2186125797","https://openalex.org/W2965446129","https://openalex.org/W3122870122","https://openalex.org/W2949447882","https://openalex.org/W183543895","https://openalex.org/W3112114647","https://openalex.org/W3179935684","https://openalex.org/W3159505423"],"abstract_inverted_index":{"In":[0,33],"recent":[1],"years,":[2],"a":[3,24,36,71,87,97,105],"class":[4],"of":[5,19,52,61,64,108],"dictionaries":[6,47],"have":[7],"been":[8],"proposed":[9,123],"for":[10,121],"multidimensional":[11],"(tensor)":[12],"data":[13,21,117],"representation":[14],"that":[15,48,57,76],"exploit":[16],"the":[17,28,31,58,83],"structure":[18,26,78],"tensor":[20,89,94],"by":[22,85],"imposing":[23],"Kronecker":[25,45,59,77],"on":[27,82,113],"dictionary":[29,84],"underlying":[30],"data.":[32],"this":[34,109],"work,":[35],"novel":[37],"algorithm":[38],"called":[39],"\u201cSTARK\u201d":[40],"is":[41,96],"provided":[42],"to":[43,69,103],"learn":[44],"structured":[46],"can":[49,66,79],"represent":[50],"tensors":[51],"any":[53,62],"order.":[54],"By":[55],"establishing":[56],"product":[60],"number":[63],"matrices":[65],"be":[67,80],"rearranged":[68],"form":[70],"rank-1":[72,88,93],"tensor,":[73],"we":[74,101],"show":[75,118],"enforced":[81],"solving":[86,104],"recovery":[90,95],"problem.":[91,110],"Because":[92],"challenging":[98],"nonconvex":[99],"problem,":[100],"resort":[102],"convex":[106],"relaxation":[107],"Empirical":[111],"experiments":[112],"synthetic":[114],"and":[115],"real":[116],"promising":[119],"results":[120],"our":[122],"algorithm.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
