{"id":"https://openalex.org/W2794083858","doi":"https://doi.org/10.1109/globalsip.2017.8309154","title":"Low-rank matrix recovery of dynamic events","display_name":"Low-rank matrix recovery of dynamic events","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2794083858","doi":"https://doi.org/10.1109/globalsip.2017.8309154","mag":"2794083858"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8309154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"M. Salman Asif","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063170670"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26005198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"66","issue":null,"first_page":"1215","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.784818708896637},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.676544725894928},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.623771071434021},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.6230667233467102},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5484026074409485},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5320694446563721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5061711668968201},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48269009590148926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4794691801071167},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4753251373767853},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4654930830001831},{"id":"https://openalex.org/keywords/dynamic-data","display_name":"Dynamic data","score":0.4258826971054077},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42055845260620117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33125096559524536},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.12340295314788818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10618835687637329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08981168270111084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784818708896637},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.676544725894928},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.623771071434021},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.6230667233467102},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5484026074409485},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5320694446563721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5061711668968201},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48269009590148926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4794691801071167},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4753251373767853},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4654930830001831},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.4258826971054077},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42055845260620117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33125096559524536},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.12340295314788818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10618835687637329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08981168270111084},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2017.8309154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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":23,"referenced_works":["https://openalex.org/W1847564501","https://openalex.org/W1986579450","https://openalex.org/W2007593159","https://openalex.org/W2022072902","https://openalex.org/W2047602908","https://openalex.org/W2054077806","https://openalex.org/W2078397124","https://openalex.org/W2102019642","https://openalex.org/W2106005123","https://openalex.org/W2118550318","https://openalex.org/W2140867429","https://openalex.org/W2143075842","https://openalex.org/W2145243777","https://openalex.org/W2150701585","https://openalex.org/W2165161875","https://openalex.org/W2166163936","https://openalex.org/W2167233877","https://openalex.org/W2552548612","https://openalex.org/W2963841451","https://openalex.org/W2963855280","https://openalex.org/W2964317660","https://openalex.org/W3104501706","https://openalex.org/W4249760698"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W2106005123","https://openalex.org/W4300776969","https://openalex.org/W2266965707","https://openalex.org/W2108753466","https://openalex.org/W2084983808","https://openalex.org/W2906317811","https://openalex.org/W4318564253","https://openalex.org/W2402491700","https://openalex.org/W2808067721"],"abstract_inverted_index":{"Low-rank":[0],"matrix":[1,45],"recovery":[2],"problems":[3],"arise":[4],"in":[5,17,24,30,78],"a":[6,42,85],"variety":[7],"of":[8,70,84,92],"scientific":[9],"and":[10,20,27,74,97],"engineering":[11],"applications.":[12],"For":[13],"instance,":[14],"blind":[15],"de-convolution":[16],"signal":[18],"processing":[19],"communication,":[21],"phase":[22],"retrieval":[23,83],"computational":[25],"imaging,":[26],"recommendation":[28],"systems":[29],"machine":[31],"learning.":[32],"In":[33,49],"this":[34],"paper,":[35],"we":[36,51],"present":[37,52],"an":[38,53],"algorithm":[39,54],"for":[40,55],"reconstructing":[41],"time-varying":[43],"low-rank":[44],"from":[46,59],"sequential":[47],"measurements.":[48],"particular,":[50],"estimating":[56],"video":[57,86],"frames":[58],"dynamic":[60,79],"measurements":[61],"by":[62],"exploiting":[63],"inter-frame":[64],"motion.":[65],"We":[66,88],"discuss":[67],"two":[68],"applications":[69],"our":[71,93],"proposed":[72],"model":[73],"algorithm:":[75],"(1)":[76],"Auto-calibration":[77],"MRI.":[80],"(2)":[81],"Phase":[82],"signal.":[87],"demonstrate":[89],"the":[90],"performance":[91],"method":[94],"on":[95],"real":[96],"synthetic":[98],"data.":[99]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}