{"id":"https://openalex.org/W2751985575","doi":"https://doi.org/10.1137/16m1086248","title":"Compression Using Lossless Decimation: Analysis and Application","display_name":"Compression Using Lossless Decimation: Analysis and Application","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2751985575","doi":"https://doi.org/10.1137/16m1086248","mag":"2751985575"},"language":"en","primary_location":{"id":"doi:10.1137/16m1086248","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1086248","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific Computing","raw_type":"journal-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/A5091196582","display_name":"Mark Ainsworth","orcid":"https://orcid.org/0000-0002-4899-1048"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Ainsworth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030373337","display_name":"Scott Klasky","orcid":"https://orcid.org/0000-0003-3559-5772"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scott Klasky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027043347","display_name":"Ben Whitney","orcid":"https://orcid.org/0000-0002-4667-9990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Whitney","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.862,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.79876651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"39","issue":"4","first_page":"B732","last_page":"B757"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9977999925613403,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/decimation","display_name":"Decimation","score":0.8750650882720947},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7621629238128662},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6934845447540283},{"id":"https://openalex.org/keywords/geodetic-datum","display_name":"Geodetic datum","score":0.6258662939071655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6203961372375488},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5672159194946289},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5262714624404907},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.456071674823761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4464016258716583},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.44081926345825195},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32800644636154175},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21343401074409485},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.14000695943832397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09079340100288391}],"concepts":[{"id":"https://openalex.org/C173642442","wikidata":"https://www.wikidata.org/wiki/Q1253346","display_name":"Decimation","level":3,"score":0.8750650882720947},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7621629238128662},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6934845447540283},{"id":"https://openalex.org/C58754882","wikidata":"https://www.wikidata.org/wiki/Q1502887","display_name":"Geodetic datum","level":2,"score":0.6258662939071655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6203961372375488},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5672159194946289},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5262714624404907},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.456071674823761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4464016258716583},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.44081926345825195},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32800644636154175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21343401074409485},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.14000695943832397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09079340100288391},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/16m1086248","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1086248","pdf_url":null,"source":{"id":"https://openalex.org/S165512578","display_name":"SIAM Journal on Scientific Computing","issn_l":"1064-8275","issn":["1064-8275","1095-7197"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Scientific Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4205894548","display_name":null,"funder_award_id":"LAB 15-1338","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W118291038","https://openalex.org/W1590549688","https://openalex.org/W1974991834","https://openalex.org/W1989692770","https://openalex.org/W2006714486","https://openalex.org/W2026723094","https://openalex.org/W2036680769","https://openalex.org/W2079152413","https://openalex.org/W2097337670","https://openalex.org/W2107745473","https://openalex.org/W2122861381","https://openalex.org/W2130293342","https://openalex.org/W2142265837","https://openalex.org/W2153638435","https://openalex.org/W2168694323","https://openalex.org/W2486202470","https://openalex.org/W2610857016","https://openalex.org/W2978725006","https://openalex.org/W4247783737"],"related_works":["https://openalex.org/W2394342941","https://openalex.org/W2384053337","https://openalex.org/W4205367172","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2032414556","https://openalex.org/W2170329003","https://openalex.org/W2100788167","https://openalex.org/W2028802091","https://openalex.org/W2348522477"],"abstract_inverted_index":{"A":[0],"crude":[1],"but":[2],"commonly":[3],"used":[4],"technique":[5],"for":[6],"compressing":[7],"ordered":[8],"scientific":[9],"data":[10,101],"consists":[11],"of":[12,21,33,47,57,67,70,95,99,107,109,117,123,128,142,146,154,158],"simply":[13],"retaining":[14],"every":[15],"$s$th":[16],"datum":[17,36],"(with":[18],"a":[19,34],"value":[20,32],"$s=10$":[22],"generally":[23],"the":[24,28,31,48,54,77,100,110,115,118,129,136,143,147,155,159],"default)":[25],"and":[26,59,102],"discarding":[27],"remainder.":[29],"Should":[30],"discarded":[35,86],"be":[37],"required":[38],"afterwards,":[39],"an":[40],"approximation":[41],"is":[42,63],"generated":[43],"by":[44,65,80,87],"linear":[45,81],"interpolation":[46,82,130],"two":[49],"nearest":[50],"retained":[51],"values.":[52],"Despite":[53],"widespread":[55],"use":[56],"this":[58],"similar":[60],"techniques,":[61],"there":[62],"little":[64],"way":[66],"theoretical":[68],"analysis":[69],"their":[71],"expected":[72,137],"performance.":[73],"First,":[74],"we":[75,113,134,150],"quantify":[76],"accuracy":[78],"achieved":[79],"when":[83],"approximating":[84],"values":[85],"decimation,":[88],"obtaining":[89],"both":[90],"deterministic":[91],"bounds":[92,104],"in":[93,105,140],"terms":[94,106,141],"appropriate":[96,144],"smoothness":[97],"measures":[98,145],"probabilistic":[103],"statistics":[108],"data.":[111,148],"Second,":[112],"investigate":[114],"efficiency":[116],"lossless":[119],"compression":[120,138],"scheme":[121],"consisting":[122],"decimation":[124],"coupled":[125],"with":[126],"encoding":[127],"errors.":[131],"In":[132],"particular,":[133],"bound":[135],"ratio":[139],"Finally,":[149],"provide":[151],"numerical":[152],"illustrations":[153],"practical":[156],"performance":[157],"algorithm":[160],"on":[161],"some":[162],"real":[163],"datasets.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}