{"id":"https://openalex.org/W2970504709","doi":"https://doi.org/10.1109/icip.2019.8803193","title":"Multilinear Compressive Sensing With Tensor Ring Factorization","display_name":"Multilinear Compressive Sensing With Tensor Ring Factorization","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970504709","doi":"https://doi.org/10.1109/icip.2019.8803193","mag":"2970504709"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5063170670","display_name":"M. Salman Asif","orcid":"https://orcid.org/0000-0001-5993-3903"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Salman Asif","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005572706","display_name":"Ashley Prater-Bennette","orcid":"https://orcid.org/0000-0002-4272-423X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashley Prater-Bennette","raw_affiliation_strings":["Information Directorate, Rome, NY, USA"],"affiliations":[{"raw_affiliation_string":"Information Directorate, Rome, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063170670"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.1892,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5045799,"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":"2100","last_page":"2104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9751999974250793,"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/multilinear-map","display_name":"Multilinear map","score":0.8334699869155884},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6948691606521606},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6657544374465942},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6297953128814697},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5739876627922058},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5099095106124878},{"id":"https://openalex.org/keywords/dixons-factorization-method","display_name":"Dixon's factorization method","score":0.48936814069747925},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.48227742314338684},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47927019000053406},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4665363132953644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44716817140579224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4424188733100891},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4381408989429474},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43531960248947144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.374243825674057},{"id":"https://openalex.org/keywords/incomplete-lu-factorization","display_name":"Incomplete LU factorization","score":0.27213770151138306},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1517462432384491},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.12447836995124817},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11481234431266785},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.06344690918922424}],"concepts":[{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.8334699869155884},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6948691606521606},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6657544374465942},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6297953128814697},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5739876627922058},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5099095106124878},{"id":"https://openalex.org/C137559481","wikidata":"https://www.wikidata.org/wiki/Q1231787","display_name":"Dixon's factorization method","level":5,"score":0.48936814069747925},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.48227742314338684},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47927019000053406},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4665363132953644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44716817140579224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4424188733100891},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4381408989429474},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43531960248947144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.374243825674057},{"id":"https://openalex.org/C134978465","wikidata":"https://www.wikidata.org/wiki/Q1654069","display_name":"Incomplete LU factorization","level":4,"score":0.27213770151138306},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1517462432384491},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.12447836995124817},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11481234431266785},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.06344690918922424},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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":1,"locations":[{"id":"doi:10.1109/icip.2019.8803193","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803193","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W228380312","https://openalex.org/W1758098838","https://openalex.org/W1908963207","https://openalex.org/W1965412232","https://openalex.org/W1993482030","https://openalex.org/W1993962865","https://openalex.org/W2001380973","https://openalex.org/W2007593159","https://openalex.org/W2024165284","https://openalex.org/W2030927653","https://openalex.org/W2055796721","https://openalex.org/W2062692432","https://openalex.org/W2079319869","https://openalex.org/W2091449379","https://openalex.org/W2102019642","https://openalex.org/W2106005123","https://openalex.org/W2118550318","https://openalex.org/W2119412403","https://openalex.org/W2122548617","https://openalex.org/W2136559714","https://openalex.org/W2140867429","https://openalex.org/W2164452299","https://openalex.org/W2296616510","https://openalex.org/W2516041031","https://openalex.org/W2552548612","https://openalex.org/W2963116674","https://openalex.org/W2964229782","https://openalex.org/W2964317660","https://openalex.org/W3099453716","https://openalex.org/W3121797243","https://openalex.org/W4250955649","https://openalex.org/W6639613013"],"related_works":["https://openalex.org/W2557735921","https://openalex.org/W2124890708","https://openalex.org/W1606300481","https://openalex.org/W4287165289","https://openalex.org/W3170626941","https://openalex.org/W3159950243","https://openalex.org/W2289858865","https://openalex.org/W2063758879","https://openalex.org/W3038037253","https://openalex.org/W2554601002"],"abstract_inverted_index":{"Tensor":[0],"factorization":[1,17,64],"has":[2],"become":[3],"a":[4,22,68,79,85,93],"powerful":[5],"tool":[6],"for":[7,36,53,98],"representation":[8,40],"and":[9,38,41,56,82,120],"analysis":[10],"of":[11,26,31,102,114],"multi-dimensional":[12],"data.":[13],"Low":[14],"rank":[15],"tensor":[16,62,87],"can":[18],"be":[19],"viewed":[20],"as":[21],"higher":[23],"order":[24],"generalization":[25],"low-rank":[27,86],"matrix":[28],"factorization,":[29],"both":[30],"which":[32],"have":[33],"been":[34],"used":[35],"image":[37],"video":[39],"reconstruction":[42],"from":[43,58],"compressive":[44,59,104],"measurements.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"present":[50,92,107],"an":[51],"algorithm":[52,116],"reconstructing":[54],"images":[55,119],"videos":[57],"measurements":[60],"using":[61],"ring":[63,88],"model.":[65],"We":[66,90,106],"use":[67],"projected":[69],"gradient":[70,76],"descent":[71,77],"approach":[72],"that":[73],"alternates":[74],"between":[75],"over":[78],"loss":[80],"function":[81],"projection":[83],"onto":[84],"structure.":[89],"also":[91],"computationally":[94],"efficient":[95],"initialization":[96],"step":[97],"the":[99,112],"special":[100],"case":[101],"multilinear":[103],"sensing.":[105],"simulation":[108],"results":[109],"to":[110],"demonstrate":[111],"performance":[113],"our":[115],"on":[117],"real":[118],"videos.":[121]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
