{"id":"https://openalex.org/W2023007133","doi":"https://doi.org/10.1109/globalsip.2014.7032143","title":"Can random linear networks store multiple long input streams?","display_name":"Can random linear networks store multiple long input streams?","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2023007133","doi":"https://doi.org/10.1109/globalsip.2014.7032143","mag":"2023007133"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2014.7032143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5062177768","display_name":"Adam S. Charles","orcid":"https://orcid.org/0000-0002-9045-3489"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adam S. Charles","raw_affiliation_strings":["School of ECE Georgia Institute of Technology, Atlanta, Georgia, USA","School of ECE, Georgia Institute of Technology Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"School of ECE Georgia Institute of Technology, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of ECE, Georgia Institute of Technology Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001139821","display_name":"Dong Yin","orcid":"https://orcid.org/0000-0002-2358-0816"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yin","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing, China 100084"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China 100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011481913","display_name":"Christopher J. Rozell","orcid":"https://orcid.org/0000-0001-5173-1661"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Christopher J. Rozell","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","School of ECE, Georgia Institute of Technology Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of ECE, Georgia Institute of Technology Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062177768"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0794815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"304","issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9957000017166138,"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/T12676","display_name":"Machine Learning and ELM","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953303217887878},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6568620800971985},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6246317028999329},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5306246280670166},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5071492195129395},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44195571541786194},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35551661252975464},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23083645105361938},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19460251927375793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953303217887878},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6568620800971985},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6246317028999329},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5306246280670166},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5071492195129395},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44195571541786194},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35551661252975464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23083645105361938},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19460251927375793},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2014.7032143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2014.7032143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1978845507","https://openalex.org/W1999174140","https://openalex.org/W2002213454","https://openalex.org/W2062004915","https://openalex.org/W2071123246","https://openalex.org/W2089552695","https://openalex.org/W2102385858","https://openalex.org/W2103179919","https://openalex.org/W2105398397","https://openalex.org/W2118706537","https://openalex.org/W2131037016","https://openalex.org/W2134603460","https://openalex.org/W2145096794","https://openalex.org/W2159213043","https://openalex.org/W2963934952","https://openalex.org/W6650011069","https://openalex.org/W6679700342","https://openalex.org/W6945068569"],"related_works":["https://openalex.org/W2010317732","https://openalex.org/W2483328176","https://openalex.org/W2061705145","https://openalex.org/W193205649","https://openalex.org/W45006177","https://openalex.org/W2016919266","https://openalex.org/W1982793386","https://openalex.org/W2537623333","https://openalex.org/W4293083682","https://openalex.org/W2061507057"],"abstract_inverted_index":{"The":[0,45],"short":[1],"term":[2],"memory":[3],"of":[4,22,53,62,125],"randomly":[5],"connected":[6],"networks":[7,30,85],"has":[8,132],"been":[9,32],"recently":[10],"studied":[11],"in":[12,35,76],"order":[13],"to":[14],"better":[15],"understand":[16],"the":[17,36,43,72,92,100,107,113],"computational":[18],"and":[19],"predictive":[20],"power":[21],"such":[23],"networks.":[24],"In":[25,95],"particular,":[26],"random,":[27],"linear,":[28],"orthogonal":[29],"have":[31],"explored":[33],"extensively":[34],"context":[37],"a":[38,51,60,129],"single":[39],"input":[40,73,88,105,109,123],"stream":[41,52],"driving":[42],"network.":[44,94,115],"most":[46],"recent":[47],"results":[48,101],"state":[49],"that":[50,71,118,131],"length":[54,126],"N":[55,127],"can":[56,120],"be":[57],"recovered":[58],"from":[59],"network":[61,130],"size":[63],"O(S":[64,133],"log":[65,134],"<sup":[66,135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[67,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">6</sup>":[68],"(N))":[69],"assuming":[70],"is":[74],"S-sparse":[75],"some":[77],"basis.":[78],"Little":[79],"work,":[80],"however,":[81],"addresses":[82],"more":[83],"complex":[84],"where":[86],"multiple":[87,108],"streams":[89,106,110,124],"feed":[90],"into":[91,112],"same":[93,114],"this":[96],"paper":[97],"we":[98,119],"extend":[99],"for":[102],"recovering":[103],"sparse":[104],"feeding":[111],"We":[116],"find":[117],"recover":[121],"L":[122],"with":[128],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">5</sup>":[137],"(LN))":[138],"nodes.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
