{"id":"https://openalex.org/W2014051219","doi":"https://doi.org/10.1109/isit.2014.6874785","title":"Lossy compression of permutations","display_name":"Lossy compression of permutations","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2014051219","doi":"https://doi.org/10.1109/isit.2014.6874785","mag":"2014051219"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2014.6874785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6874785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1721.1/91133","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100359324","display_name":"Da Wang","orcid":"https://orcid.org/0000-0001-6855-0082"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Da Wang","raw_affiliation_strings":["EECS Dept, MIT, Cambridge, MA, USA","Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"EECS Dept, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051046818","display_name":"Arya Mazumdar","orcid":"https://orcid.org/0000-0003-4605-7996"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arya Mazumdar","raw_affiliation_strings":["ECE Dept, Univ. of Minnesota, Twin Cities, MN, USA","ECE Dept., University of Minnesota, Minneapolis, MN, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"ECE Dept, Univ. of Minnesota, Twin Cities, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]},{"raw_affiliation_string":"ECE Dept., University of Minnesota, Minneapolis, MN, USA#TAB#","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066172831","display_name":"Gregory W. Wornell","orcid":"https://orcid.org/0000-0001-9166-4758"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory W. Wornell","raw_affiliation_strings":["EECS Dept, MIT, Cambridge, MA, USA","Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"EECS Dept, MIT, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100359324"],"corresponding_institution_ids":["https://openalex.org/I4210110987","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":1.266,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84704477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"39","issue":null,"first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9995999932289124,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11130","display_name":"Coding theory and cryptography","score":0.9957000017166138,"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/lossy-compression","display_name":"Lossy compression","score":0.5631670355796814},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5608274936676025},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5036422610282898},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.49895191192626953},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4712888300418854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46298494935035706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44714224338531494},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4439888596534729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42522549629211426},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.413627028465271},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1832076907157898}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5631670355796814},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5608274936676025},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5036422610282898},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.49895191192626953},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4712888300418854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46298494935035706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44714224338531494},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4439888596534729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42522549629211426},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.413627028465271},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1832076907157898},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isit.2014.6874785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2014.6874785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.3145","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.3145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.umn.edu/~arya/papers/lossyperm.pdf","raw_type":"text"},{"id":"pmh:oai:dspace.mit.edu:1721.1/91133","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:dspace.mit.edu:1721.1/91133","is_oa":true,"landing_page_url":"http://hdl.handle.net/1721.1/91133","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MIT web domain","raw_type":"http://purl.org/eprint/type/ConferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1499300513","https://openalex.org/W1600537614","https://openalex.org/W1980850695","https://openalex.org/W2128970384","https://openalex.org/W2752061190","https://openalex.org/W2913924976","https://openalex.org/W2915009580","https://openalex.org/W3198160809","https://openalex.org/W4285719527","https://openalex.org/W6629624487","https://openalex.org/W6744529318"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W4287903946","https://openalex.org/W50067980","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W2803920876","https://openalex.org/W3042625184","https://openalex.org/W2343292875"],"abstract_inverted_index":{"We":[0,40],"investigate":[1],"the":[2,9,12,19,51,70,87,102],"lossy":[3],"compression":[4],"of":[5,14,37,57,64,76,86,108],"permutations":[6],"by":[7],"analyzing":[8],"trade-off":[10],"between":[11],"size":[13],"a":[15,61],"source":[16,88],"code":[17,89],"and":[18,31,60,114,118],"distortion":[20,94,104,130,137],"with":[21,79],"respect":[22],"to":[23],"Kendall":[24,46,65],"tau":[25,47,66],"distance,":[26],"Spearman's":[27],"footrule,":[28],"Chebyshev":[29],"distance":[30,36,48,56,67,75],"\u2113":[32,52,71],"<sub":[33,53,72],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[34,54,73],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[35,55,74],"inversion":[38,58,77],"vectors.":[39],"show":[41,122],"that":[42,123],"given":[43],"two":[44,93],"permutations,":[45],"upper":[49],"bounds":[50,69],"vectors":[59,78],"scaled":[62],"version":[63],"lower":[68],"high":[80],"probability,":[81],"which":[82,109],"indicates":[83],"an":[84,124],"equivalence":[85,97],"designs":[90],"under":[91],"these":[92],"measures.":[95],"Similar":[96],"is":[98,132],"established":[99],"for":[100,128,135],"all":[101],"above":[103],"measures,":[105],"every":[106],"one":[107,129],"has":[110],"different":[111],"operational":[112],"significance":[113],"applications":[115],"in":[116],"ranking":[117],"sorting.":[119],"These":[120],"findings":[121],"optimal":[125,134],"coding":[126],"scheme":[127],"measure":[131],"effectively":[133],"other":[136],"measures":[138],"above.":[139]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
