{"id":"https://openalex.org/W2901763974","doi":"https://doi.org/10.1109/dsw.2019.8755593","title":"The Core Consistency of a Compressed Tensor","display_name":"The Core Consistency of a Compressed Tensor","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2901763974","doi":"https://doi.org/10.1109/dsw.2019.8755593","mag":"2901763974"},"language":"en","primary_location":{"id":"doi:10.1109/dsw.2019.8755593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsw.2019.8755593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Data Science Workshop (DSW)","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/1811.07428","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026374823","display_name":"Georgios Tsitsikas","orcid":null},"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":"Georgios Tsitsikas","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of California, Riverside","Department of Computer Science and Engineering, University of California, Riverside,"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, Riverside,","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054849323","display_name":"Evangelos E. Papalexakis","orcid":"https://orcid.org/0000-0002-3411-8483"},"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":false,"raw_author_name":"Evangelos E. Papalexakis","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of California, Riverside","Department of Computer Science and Engineering, University of California, Riverside,"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of California, Riverside","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California, Riverside,","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026374823"],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":0.1471,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2954823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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":0.9983999729156494,"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":0.9983999729156494,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9258999824523926,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.6857772469520569},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.6509737968444824},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6243273019790649},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.604341447353363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6020864844322205},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5629150867462158},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.526390552520752},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5060343146324158},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4144743084907532},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36893779039382935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28471505641937256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22335737943649292},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07451897859573364}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6857772469520569},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.6509737968444824},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6243273019790649},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.604341447353363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6020864844322205},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5629150867462158},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.526390552520752},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5060343146324158},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4144743084907532},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36893779039382935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28471505641937256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22335737943649292},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07451897859573364},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/dsw.2019.8755593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsw.2019.8755593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Data Science Workshop (DSW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1811.07428","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.07428","pdf_url":"https://arxiv.org/pdf/1811.07428","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":null},{"id":"mag:2901763974","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1811.07428","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":"doi:10.48550/arxiv.1811.07428","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1811.07428","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:1811.07428","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.07428","pdf_url":"https://arxiv.org/pdf/1811.07428","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":null},"sustainable_development_goals":[],"awards":[{"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/G861141558","display_name":"Collaborative Research: CDS&E: Theoretical Foundations and Algorithms for L1-Norm-Based Reliable Multi-Modal Data Analysis","funder_award_id":"1808591","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332923","display_name":"U.S. Navy","ror":"https://ror.org/03ar0mv07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2901763974.pdf","grobid_xml":"https://content.openalex.org/works/W2901763974.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W10350632","https://openalex.org/W49160414","https://openalex.org/W111803032","https://openalex.org/W1519770448","https://openalex.org/W1963826206","https://openalex.org/W1994219736","https://openalex.org/W2013152767","https://openalex.org/W2030790903","https://openalex.org/W2042901969","https://openalex.org/W2103392911","https://openalex.org/W2106221905","https://openalex.org/W2119511382","https://openalex.org/W2119741678","https://openalex.org/W2528907418","https://openalex.org/W2802696077","https://openalex.org/W2963999633","https://openalex.org/W6645511665","https://openalex.org/W6719972455"],"related_works":["https://openalex.org/W2968559671","https://openalex.org/W2070012999","https://openalex.org/W2957192659","https://openalex.org/W5616117","https://openalex.org/W2799066824","https://openalex.org/W2605177427","https://openalex.org/W3083836106","https://openalex.org/W2950221323","https://openalex.org/W2479914246","https://openalex.org/W3204480651","https://openalex.org/W3035638235","https://openalex.org/W2346682058","https://openalex.org/W3021307491","https://openalex.org/W2950201748","https://openalex.org/W2950680045","https://openalex.org/W2766720529","https://openalex.org/W3193402893","https://openalex.org/W2612617244","https://openalex.org/W2900795104","https://openalex.org/W3041372282"],"abstract_inverted_index":{"Tensor":[0],"decomposition":[1],"on":[2,70,83],"big":[3],"data":[4],"has":[5,92],"attracted":[6],"significant":[7],"attention":[8],"recently.":[9],"Among":[10],"the":[11,27,30,47,66,71,79,84,113,117,141],"most":[12],"popular":[13,134],"methods":[14,41],"is":[15,45,51,120],"a":[16,75,87,96],"class":[17],"of":[18,29,57,62,68,74,81],"algorithms":[19],"that":[20,46,91,100,116,127],"leverages":[21],"compression":[22,69,82,114,135],"in":[23],"order":[24],"to":[25,42],"reduce":[26],"size":[28],"tensor":[31,49],"and":[32,59,64,122,137],"potentially":[33],"parallelize":[34],"computations.":[35],"A":[36],"fundamental":[37],"requirement":[38],"for":[39,98,112],"such":[40,115],"work":[43],"properly":[44],"low-rank":[48],"structure":[50],"retained":[52],"upon":[53],"compression.":[54],"In":[55],"lieu":[56],"efficient":[58],"realistic":[60],"means":[61],"computing":[63],"studying":[65],"effects":[67,80],"low":[72,101],"rank":[73],"tensor,":[76],"we":[77,108,123,132],"study":[78],"core":[85,118,142],"consistency;":[86],"widely":[88],"used":[89,94],"heuristic":[90],"been":[93],"as":[95],"proxy":[97],"estimating":[99],"rank.":[102],"We":[103],"provide":[104],"theoretical":[105],"analysis,":[106],"where":[107],"identify":[109],"sufficient":[110],"conditions":[111],"consistency":[119],"preserved,":[121],"conduct":[124],"extensive":[125],"experiments":[126],"validate":[128],"our":[129],"analysis.":[130],"Further,":[131],"explore":[133],"schemes":[136],"how":[138],"they":[139],"affect":[140],"consistency.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}