{"id":"https://openalex.org/W2791118818","doi":"https://doi.org/10.1109/globalsip.2017.8309063","title":"Parallel computing heuristics for low-rank matrix completion","display_name":"Parallel computing heuristics for low-rank matrix completion","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2791118818","doi":"https://doi.org/10.1109/globalsip.2017.8309063","mag":"2791118818"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8309063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309063","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/A5027316003","display_name":"Charlie Hubbard","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Charlie Hubbard","raw_affiliation_strings":["Electrical and Computer Engineering Department, Iowa State University, Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066142047","display_name":"Chinmay Hegde","orcid":"https://orcid.org/0000-0003-4574-8066"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chinmay Hegde","raw_affiliation_strings":["Electrical and Computer Engineering Department, Iowa State University, Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027316003"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.2401,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57553522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"764","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9930999875068665,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/heuristics","display_name":"Heuristics","score":0.8521357774734497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7923624515533447},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7425945997238159},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.6938721537590027},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5376409888267517},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5115488767623901},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.44103601574897766},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.42572110891342163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4098266363143921},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37968945503234863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10814017057418823},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.05930882692337036}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8521357774734497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923624515533447},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7425945997238159},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.6938721537590027},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5376409888267517},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5115488767623901},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.44103601574897766},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.42572110891342163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4098266363143921},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37968945503234863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10814017057418823},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.05930882692337036},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2017.8309063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309063","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":18,"referenced_works":["https://openalex.org/W1940008012","https://openalex.org/W1978611515","https://openalex.org/W2047071281","https://openalex.org/W2105767123","https://openalex.org/W2108753466","https://openalex.org/W2120872934","https://openalex.org/W2123688186","https://openalex.org/W2134332047","https://openalex.org/W2184497579","https://openalex.org/W2219888463","https://openalex.org/W2588313843","https://openalex.org/W2611328865","https://openalex.org/W2964200481","https://openalex.org/W3010434925","https://openalex.org/W6640485552","https://openalex.org/W6677959539","https://openalex.org/W6686515677","https://openalex.org/W6917172014"],"related_works":["https://openalex.org/W2952489973","https://openalex.org/W4300776969","https://openalex.org/W2106005123","https://openalex.org/W2788210652","https://openalex.org/W2266965707","https://openalex.org/W2972830027","https://openalex.org/W4387323768","https://openalex.org/W2084983808","https://openalex.org/W3144354057","https://openalex.org/W3213035342"],"abstract_inverted_index":{"Current":[0],"algorithms":[1,44,57],"for":[2,58],"low-rank":[3],"matrix":[4,42,60],"completion":[5,43,61],"often":[6],"suffer":[7],"from":[8],"scalability":[9],"issues":[10],"-":[11,22],"both":[12],"in":[13,47],"terms":[14],"of":[15,69],"memory":[16],"as":[17,19],"well":[18],"running":[20],"time":[21],"when":[23,45],"presented":[24],"with":[25],"very":[26],"large":[27],"datasets.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"introduce":[33],"new":[34],"parallel":[35],"computing":[36,49],"heuristics":[37,52],"that":[38],"can":[39],"greatly":[40],"accelerate":[41],"used":[46],"GPU-based":[48],"environments.":[50],"Our":[51],"enable":[53],"speeding":[54],"up":[55],"popular":[56],"nonlinear":[59],"on":[62],"standard":[63],"real-world":[64],"test":[65],"datasets":[66],"by":[67],"orders":[68],"magnitude,":[70],"while":[71],"being":[72],"highly":[73],"memory-efficient.":[74]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}