{"id":"https://openalex.org/W2140262738","doi":"https://doi.org/10.1109/isit.2004.1365062","title":"Average case universal lossless compression with unknown alphabets","display_name":"Average case universal lossless compression with unknown alphabets","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2140262738","doi":"https://doi.org/10.1109/isit.2004.1365062","mag":"2140262738"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2004.1365062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/cs/0603068","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072780983","display_name":"Gil I. Shamir","orcid":"https://orcid.org/0000-0002-4307-9180"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G.I. Shamir","raw_affiliation_strings":["Electrical and Computer Engineering, University of Utah, Salt Lake, UT, USA","Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Utah, Salt Lake, UT, USA","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072780983"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":3.7002,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93387807,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"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":1.0,"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/T12162","display_name":"Cellular Automata and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12029","display_name":"DNA and Biological Computing","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6647384166717529},{"id":"https://openalex.org/keywords/alphabet","display_name":"Alphabet","score":0.6276695728302002},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6163399815559387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5915066599845886},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5614571571350098},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5373960733413696},{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.5312775373458862},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5146909356117249},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5129220485687256},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.5051401257514954},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.49834108352661133},{"id":"https://openalex.org/keywords/entropy-rate","display_name":"Entropy rate","score":0.4967871308326721},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.49213236570358276},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4585750699043274},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.43852195143699646},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3909943997859955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30571937561035156},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.17497950792312622},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1417120397090912},{"id":"https://openalex.org/keywords/binary-entropy-function","display_name":"Binary entropy function","score":0.14110249280929565},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.10104861855506897}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6647384166717529},{"id":"https://openalex.org/C112876837","wikidata":"https://www.wikidata.org/wiki/Q837518","display_name":"Alphabet","level":2,"score":0.6276695728302002},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6163399815559387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5915066599845886},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5614571571350098},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5373960733413696},{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.5312775373458862},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5146909356117249},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5129220485687256},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.5051401257514954},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.49834108352661133},{"id":"https://openalex.org/C125252325","wikidata":"https://www.wikidata.org/wiki/Q1345213","display_name":"Entropy rate","level":4,"score":0.4967871308326721},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.49213236570358276},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4585750699043274},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.43852195143699646},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3909943997859955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30571937561035156},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.17497950792312622},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1417120397090912},{"id":"https://openalex.org/C44415725","wikidata":"https://www.wikidata.org/wiki/Q4913893","display_name":"Binary entropy function","level":3,"score":0.14110249280929565},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.10104861855506897},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2004.1365062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2004.1365062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:cs/0603068","is_oa":true,"landing_page_url":"http://arxiv.org/abs/cs/0603068","pdf_url":"https://arxiv.org/pdf/cs/0603068","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:cs/0603068","is_oa":true,"landing_page_url":"http://arxiv.org/abs/cs/0603068","pdf_url":"https://arxiv.org/pdf/cs/0603068","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":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G317601877","display_name":"CAREER:Advances in Universal Data Compression with Applications to Joint Source and Channel Coding","funder_award_id":"0347969","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2140262738.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1549664537","https://openalex.org/W2013647113","https://openalex.org/W2064533938","https://openalex.org/W2069074906","https://openalex.org/W2096798913","https://openalex.org/W2099111195","https://openalex.org/W2103359005","https://openalex.org/W2106981684","https://openalex.org/W2113288381","https://openalex.org/W2120127941","https://openalex.org/W2125991803","https://openalex.org/W2127245906","https://openalex.org/W2127831256","https://openalex.org/W2128777897","https://openalex.org/W2131024393","https://openalex.org/W2132119275","https://openalex.org/W2140262738","https://openalex.org/W2147134254","https://openalex.org/W2148861585","https://openalex.org/W2162209814","https://openalex.org/W2163294786","https://openalex.org/W2164783098","https://openalex.org/W2183235533","https://openalex.org/W2333531505","https://openalex.org/W2578394050","https://openalex.org/W2911940095","https://openalex.org/W2989155436"],"related_works":["https://openalex.org/W1581737654","https://openalex.org/W2156106714","https://openalex.org/W2906173154","https://openalex.org/W2167336121","https://openalex.org/W1557835754","https://openalex.org/W2189785727","https://openalex.org/W2096793045","https://openalex.org/W1499106570","https://openalex.org/W4297360799","https://openalex.org/W340392727"],"abstract_inverted_index":{"Bounds":[0],"on":[1],"the":[2,35],"average":[3],"redundancy":[4],"are":[5,32],"derived":[6],"for":[7,28],"universal":[8],"coding":[9],"of":[10,12,30,42],"patterns":[11,31],"sequences":[13,44],"generated":[14],"by":[15],"independently":[16],"identically":[17],"distributed":[18],"(i.i.d.)":[19],"sources":[20],"with":[21],"unknown,":[22],"possibly":[23],"large,":[24],"alphabets.":[25],"Sequential":[26],"approached":[27],"compression":[29],"proposed,":[33],"and":[34,40],"relation":[36],"between":[37],"pattern":[38],"entropy":[39],"that":[41],"i.i.d.":[43],"is":[45],"studied.":[46]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2016-06-24T00:00:00"}