{"id":"https://openalex.org/W3198299091","doi":"https://doi.org/10.1109/msp.2021.3092574","title":"Sketching Data Sets for Large-Scale Learning: Keeping only what you need","display_name":"Sketching Data Sets for Large-Scale Learning: Keeping only what you need","publication_year":2021,"publication_date":"2021-08-27","ids":{"openalex":"https://openalex.org/W3198299091","doi":"https://doi.org/10.1109/msp.2021.3092574","mag":"3198299091"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2021.3092574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2021.3092574","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://inria.hal.science/hal-03350599/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041230403","display_name":"R\u00e9mi Gribonval","orcid":"https://orcid.org/0000-0002-9450-8125"},"institutions":[{"id":"https://openalex.org/I113428412","display_name":"\u00c9cole Normale Sup\u00e9rieure de Lyon","ror":"https://ror.org/04zmssz18","country_code":"FR","type":"education","lineage":["https://openalex.org/I113428412","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Remi Gribonval","raw_affiliation_strings":["ENS de Lyon, Paris, France","DANTE - Dynamic Networks : Temporal and Structural Capture Approach (46 All\u00e9e d'Italie \r\n69364 Lyon France - France)"],"affiliations":[{"raw_affiliation_string":"ENS de Lyon, Paris, France","institution_ids":["https://openalex.org/I113428412"]},{"raw_affiliation_string":"DANTE - Dynamic Networks : Temporal and Structural Capture Approach (46 All\u00e9e d'Italie \r\n69364 Lyon France - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087376727","display_name":"Antoine Chatalic","orcid":"https://orcid.org/0000-0003-2574-2417"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antoine Chatalic","raw_affiliation_strings":["Machine Learning Genoa Center, Genoa, Italy","PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Mod\u00e9lisation Audio (Campus de Beaulieu 35042 Rennes cedex - France)"],"affiliations":[{"raw_affiliation_string":"Machine Learning Genoa Center, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Mod\u00e9lisation Audio (Campus de Beaulieu 35042 Rennes cedex - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003197490","display_name":"Nicolas Keriven","orcid":"https://orcid.org/0000-0002-3846-8763"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210088322","display_name":"Centre de Gestion Scientifique","ror":"https://ror.org/003y0kg83","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I142476485","https://openalex.org/I190752583","https://openalex.org/I190752583","https://openalex.org/I205703379","https://openalex.org/I2746051580","https://openalex.org/I2746051580","https://openalex.org/I4210088322","https://openalex.org/I4210091621","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4405258429","https://openalex.org/I70768539","https://openalex.org/I70768539"]},{"id":"https://openalex.org/I4210124956","display_name":"GIPSA-Lab","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Keriven","raw_affiliation_strings":["Centre National de la Recherche Scientifique, Paris, France","GIPSA-GAIA - GIPSA P\u00f4le G\u00e9om\u00e9trie, Apprentissage, Information et Algorithmes (GIPSA-lab\r\n11 rue des Math\u00e9matiques, \r\nGrenoble Campus BP46\r\nF-38402 SAINT MARTIN D'HERES CEDEX  - France)"],"affiliations":[{"raw_affiliation_string":"Centre National de la Recherche Scientifique, Paris, France","institution_ids":["https://openalex.org/I4210088322","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"GIPSA-GAIA - GIPSA P\u00f4le G\u00e9om\u00e9trie, Apprentissage, Information et Algorithmes (GIPSA-lab\r\n11 rue des Math\u00e9matiques, \r\nGrenoble Campus BP46\r\nF-38402 SAINT MARTIN D'HERES CEDEX  - France)","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028331312","display_name":"Vincent Schellekens","orcid":"https://orcid.org/0000-0001-5874-5732"},"institutions":[{"id":"https://openalex.org/I4210163063","display_name":"Institute of Information and Communication Technologies","ror":"https://ror.org/05fpsjc82","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210163063"]},{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE","BG"],"is_corresponding":false,"raw_author_name":"Vincent Schellekens","raw_affiliation_strings":["Information and Communication Technologies, Electronics, and Applied Mathematics, UCLouvain, Louvain-la-Neuve, Belgium","ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics (Place du Levant, 3, B-1348 Louvain-la-Neuve - Belgium)"],"affiliations":[{"raw_affiliation_string":"Information and Communication Technologies, Electronics, and Applied Mathematics, UCLouvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353","https://openalex.org/I4210163063"]},{"raw_affiliation_string":"ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics (Place du Levant, 3, B-1348 Louvain-la-Neuve - Belgium)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053892288","display_name":"Laurent Jacques","orcid":"https://orcid.org/0000-0002-6261-0328"},"institutions":[{"id":"https://openalex.org/I4210163063","display_name":"Institute of Information and Communication Technologies","ror":"https://ror.org/05fpsjc82","country_code":"BG","type":"facility","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210163063"]},{"id":"https://openalex.org/I95674353","display_name":"UCLouvain","ror":"https://ror.org/02495e989","country_code":"BE","type":"education","lineage":["https://openalex.org/I95674353"]}],"countries":["BE","BG"],"is_corresponding":false,"raw_author_name":"Laurent Jacques","raw_affiliation_strings":["Information and Communication Technologies, Electronics, and Applied Mathematics, UCLouvain, Louvain-la-Neuve, Belgium","ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics (Place du Levant, 3, B-1348 Louvain-la-Neuve - Belgium)"],"affiliations":[{"raw_affiliation_string":"Information and Communication Technologies, Electronics, and Applied Mathematics, UCLouvain, Louvain-la-Neuve, Belgium","institution_ids":["https://openalex.org/I95674353","https://openalex.org/I4210163063"]},{"raw_affiliation_string":"ICTEAM - Institute of Information and Communication Technologies, Electronics and Applied Mathematics (Place du Levant, 3, B-1348 Louvain-la-Neuve - Belgium)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045693581","display_name":"Philip Schniter","orcid":"https://orcid.org/0000-0003-0939-7545"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip Schniter","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA","OSU - Ohio State University [Columbus] (Ohio State University Enarson Hall 154 W 12th Avenue Columbus, Ohio 43210 - United States)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The Ohio State University, Columbus, Ohio, USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"OSU - Ohio State University [Columbus] (Ohio State University Enarson Hall 154 W 12th Avenue Columbus, Ohio 43210 - United States)","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041230403"],"corresponding_institution_ids":["https://openalex.org/I113428412"],"apc_list":null,"apc_paid":null,"fwci":2.0998,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89427682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"38","issue":"5","first_page":"12","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9955999851226807,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9398000240325928,"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":0.7158635854721069},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6028733253479004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34493160247802734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7158635854721069},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6028733253479004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34493160247802734},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/msp.2021.3092574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2021.3092574","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03350599v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03350599","pdf_url":"https://inria.hal.science/hal-03350599/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩","raw_type":"Journal articles"},{"id":"pmh:oai:dial.uclouvain.be:boreal:250436","is_oa":true,"landing_page_url":"http://hdl.handle.net/2078.1/250436","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, Vol. 38, no.5, p. 12-36 (2021)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03350599v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-03350599","pdf_url":"https://inria.hal.science/hal-03350599/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, 2021, 38 (5), pp.12-36. ⟨10.1109/MSP.2021.3092574⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2047647030","display_name":null,"funder_award_id":"ANR-19-CHIA-0009","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2834016881","display_name":"Collaborative Research: CIF: Medium: Learning and Inference in High-Dimensional Models: Rigorous Analysis and Applications","funder_award_id":"1955587","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2942851944","display_name":null,"funder_award_id":"CCF-1955587","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4368997075","display_name":null,"funder_award_id":"CCF-1955587","funder_id":"https://openalex.org/F4320337387","funder_display_name":"Division of Computing and Communication Foundations"},{"id":"https://openalex.org/G440247600","display_name":null,"funder_award_id":"T.0136.20","funder_id":"https://openalex.org/F4320321390","funder_display_name":"Fonds De La Recherche Scientifique - FNRS"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321390","display_name":"Fonds De La Recherche Scientifique - FNRS","ror":"https://ror.org/03q83t159"},{"id":"https://openalex.org/F4320337387","display_name":"Division of Computing and Communication Foundations","ror":"https://ror.org/01mng8331"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198299091.pdf","grobid_xml":"https://content.openalex.org/works/W3198299091.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W391985582","https://openalex.org/W1555712343","https://openalex.org/W1999352252","https://openalex.org/W2022858489","https://openalex.org/W2024021429","https://openalex.org/W2027595342","https://openalex.org/W2029816571","https://openalex.org/W2037757210","https://openalex.org/W2040970380","https://openalex.org/W2041823554","https://openalex.org/W2060036647","https://openalex.org/W2089784543","https://openalex.org/W2097455965","https://openalex.org/W2097665501","https://openalex.org/W2112545207","https://openalex.org/W2119667497","https://openalex.org/W2125865219","https://openalex.org/W2142406320","https://openalex.org/W2144414190","https://openalex.org/W2144902422","https://openalex.org/W2157988812","https://openalex.org/W2162511804","https://openalex.org/W2163398148","https://openalex.org/W2163599171","https://openalex.org/W2164616133","https://openalex.org/W2540307294","https://openalex.org/W2544176167","https://openalex.org/W2605512869","https://openalex.org/W2794589353","https://openalex.org/W2797637497","https://openalex.org/W2798310356","https://openalex.org/W2810541051","https://openalex.org/W2889075913","https://openalex.org/W2902515870","https://openalex.org/W2935736869","https://openalex.org/W2949384808","https://openalex.org/W2950476412","https://openalex.org/W2953468972","https://openalex.org/W2962691586","https://openalex.org/W2963591649","https://openalex.org/W2963709899","https://openalex.org/W2964156132","https://openalex.org/W2964325628","https://openalex.org/W2979473749","https://openalex.org/W2988063132","https://openalex.org/W2990604797","https://openalex.org/W2999167634","https://openalex.org/W3015918576","https://openalex.org/W3016462744","https://openalex.org/W3023786531","https://openalex.org/W3025816195","https://openalex.org/W3047592985","https://openalex.org/W3098607836","https://openalex.org/W3112410551","https://openalex.org/W3127767495","https://openalex.org/W3133603318","https://openalex.org/W3148486289","https://openalex.org/W3159457618","https://openalex.org/W3213644387","https://openalex.org/W4206519735","https://openalex.org/W4236177698","https://openalex.org/W4244670803","https://openalex.org/W4254197176","https://openalex.org/W4288090267","https://openalex.org/W4297813530","https://openalex.org/W4360611498","https://openalex.org/W6657138077","https://openalex.org/W6674684338","https://openalex.org/W6676930901","https://openalex.org/W6678421882","https://openalex.org/W6678814708","https://openalex.org/W6681291431","https://openalex.org/W6681302627","https://openalex.org/W6689083667","https://openalex.org/W6712153814","https://openalex.org/W6713655233","https://openalex.org/W6728809436","https://openalex.org/W6739454988","https://openalex.org/W6752009368","https://openalex.org/W6775891173","https://openalex.org/W6776278561"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Big":[0],"data":[1,10,49,80,111,125],"can":[2],"be":[3],"a":[4,88,182],"blessing:":[5],"with":[6,20,147],"very":[7],"large":[8],"training":[9],"sets":[11,50],"it":[12,40],"becomes":[13],"possible":[14,41],"to":[15,42,122],"perform":[16],"complex":[17],"learning":[18],"tasks":[19],"unprecedented":[21],"accuracy.":[22],"Yet,":[23],"this":[24,58,171],"improved":[25],"performance":[26],"comes":[27],"at":[28],"the":[29,44,64,73,79,109,118,123,130,134,140],"price":[30],"of":[31,47,63,75,133,170,184],"enormous":[32],"computational":[33,53],"challenges.":[34],"Thus,":[35],"one":[36],"may":[37],"wonder:":[38],"Is":[39],"leverage":[43],"information":[45,157],"content":[46],"huge":[48],"while":[51],"keeping":[52],"resources":[54],"under":[55],"control?":[56],"Can":[57],"also":[59],"help":[60],"solve":[61],"some":[62],"privacy":[65,160],"issues":[66],"raised":[67],"by":[68,93],"large-scale":[69],"learning?":[70],"This":[71,127],"is":[72,82,90],"ambition":[74],"compressive":[76,137],"learning,":[77,138],"where":[78],"set":[81],"massively":[83],"compressed":[84],"before":[85],"learning.":[86],"Here,":[87],"\"sketch\"":[89],"first":[91],"constructed":[92],"computing":[94],"carefully":[95],"chosen":[96],"nonlinear":[97],"random":[98,101],"features":[99],"[e.g.,":[100],"Fourier":[102],"(RF)":[103],"features]":[104],"and":[105,143,159,162,177],"averaging":[106],"them":[107],"over":[108],"whole":[110],"set.":[112,126],"Parameters":[113],"are":[114],"then":[115],"learned":[116],"from":[117],"sketch,":[119],"without":[120],"access":[121],"original":[124],"article":[128,172],"surveys":[129],"current":[131],"state":[132],"art":[135],"in":[136],"including":[139],"main":[141],"concepts":[142],"algorithms,":[144],"their":[145],"connections":[146],"established":[148],"signal":[149],"processing":[150],"methods,":[151],"existing":[152],"theoretical":[153],"guarantees":[154],"on":[155,181],"both":[156],"preservation":[158],"preservation,":[161],"important":[163],"open":[164],"problems.":[165],"For":[166],"an":[167],"extended":[168],"version":[169],"that":[173],"contains":[174],"additional":[175],"references":[176],"more":[178],"in-depth":[179],"discussions":[180],"variety":[183],"topics,":[185],"see":[186],"[1].":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}