{"id":"https://openalex.org/W2561826351","doi":"https://doi.org/10.1109/isit.2005.1523524","title":"Tracking the best quantizer","display_name":"Tracking the best quantizer","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2561826351","doi":"https://doi.org/10.1109/isit.2005.1523524","mag":"2561826351"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2005.1523524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","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/A5041609088","display_name":"Andr\u00e1s Gy\u00f6rgy","orcid":"https://orcid.org/0000-0003-0586-4337"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]},{"id":"https://openalex.org/I198412221","display_name":"HUN-REN Institute for Nuclear Research","ror":"https://ror.org/006vxbq87","country_code":"HU","type":"facility","lineage":["https://openalex.org/I198412221","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"A. Gyorgy","raw_affiliation_strings":["Informatics Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Informatics Laboratory, Computer and Automation Research Institute, Hungarian Academy of Sciences (ATOMKI), Budapest, Hungary","institution_ids":["https://openalex.org/I7597260","https://openalex.org/I198412221","https://openalex.org/I4210117195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090728745","display_name":"Tam\u00e1s Linder","orcid":"https://orcid.org/0000-0001-9993-816X"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"T. Linder","raw_affiliation_strings":["Department of Mathematics and Statistics, Queen's University, Kingston, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Queen's University, Kingston, ONT, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034680608","display_name":"G\u00e1bor Lugosi","orcid":"https://orcid.org/0000-0003-1614-5901"},"institutions":[{"id":"https://openalex.org/I170486558","display_name":"Pompeu Fabra University","ror":"https://ror.org/04n0g0b29","country_code":"ES","type":"education","lineage":["https://openalex.org/I170486558"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"G. Lugosi","raw_affiliation_strings":["Department of Economics, Pompeu Fabra University, Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Economics, Pompeu Fabra University, Barcelona, Spain","institution_ids":["https://openalex.org/I170486558"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041609088"],"corresponding_institution_ids":["https://openalex.org/I198412221","https://openalex.org/I4210117195","https://openalex.org/I7597260"],"apc_list":null,"apc_paid":null,"fwci":2.1748,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88607136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"it 46","issue":null,"first_page":"1163","last_page":"1167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9984999895095825,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6649982929229736},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6419017314910889},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5976316928863525},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.567398726940155},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5630635619163513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.522476315498352},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.49049872159957886},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.48364198207855225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42952215671539307},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.42485493421554565},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.422059565782547},{"id":"https://openalex.org/keywords/piecewise-linear-function","display_name":"Piecewise linear function","score":0.4137248992919922},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35816603899002075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15758082270622253}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6649982929229736},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6419017314910889},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5976316928863525},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.567398726940155},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5630635619163513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.522476315498352},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.49049872159957886},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.48364198207855225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42952215671539307},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.42485493421554565},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.422059565782547},{"id":"https://openalex.org/C17095337","wikidata":"https://www.wikidata.org/wiki/Q2375229","display_name":"Piecewise linear function","level":2,"score":0.4137248992919922},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35816603899002075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15758082270622253},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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":1,"locations":[{"id":"doi:10.1109/isit.2005.1523524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2005.1523524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1541794469","https://openalex.org/W1554480594","https://openalex.org/W1561073169","https://openalex.org/W1570963478","https://openalex.org/W1587647246","https://openalex.org/W1970041563","https://openalex.org/W1979675141","https://openalex.org/W1982813377","https://openalex.org/W2011564903","https://openalex.org/W2016041712","https://openalex.org/W2032107356","https://openalex.org/W2034719335","https://openalex.org/W2093233025","https://openalex.org/W2093825590","https://openalex.org/W2096102601","https://openalex.org/W2096473018","https://openalex.org/W2098123283","https://openalex.org/W2102179694","https://openalex.org/W2103012681","https://openalex.org/W2115193820","https://openalex.org/W2117594482","https://openalex.org/W2123095296","https://openalex.org/W2123959253","https://openalex.org/W2125808188","https://openalex.org/W2132652091","https://openalex.org/W2133472798","https://openalex.org/W2137154577","https://openalex.org/W2144741948","https://openalex.org/W2148037789","https://openalex.org/W2149988068","https://openalex.org/W2150020269","https://openalex.org/W2151252184","https://openalex.org/W2158455534","https://openalex.org/W2158643165","https://openalex.org/W2158660380","https://openalex.org/W2164886257","https://openalex.org/W2170638146","https://openalex.org/W2171479664","https://openalex.org/W2611627047","https://openalex.org/W3121527861","https://openalex.org/W3149261725","https://openalex.org/W4248175720","https://openalex.org/W4285719527","https://openalex.org/W6677392117"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2133947431","https://openalex.org/W2490196280","https://openalex.org/W3182827720","https://openalex.org/W1596838019","https://openalex.org/W3208509670","https://openalex.org/W2100864966","https://openalex.org/W2109304297","https://openalex.org/W2083709218"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"consider":[4],"zero":[5],"delay":[6],"lossy":[7],"coding":[8],"schemes":[9],"for":[10],"individual":[11],"sequences,":[12],"and":[13],"address":[14],"the":[15,19,28,37,62,69,76,86,91,95,103,110],"problem":[16,31,38],"of":[17,36,39,42,85,97,101],"tracking":[18],"best":[20,63],"scalar":[21,40,64],"quantizer":[22,78],"which":[23,51,71],"is":[24,32,49,72,88],"adaptively":[25],"matched":[26,67],"to":[27,68,74,81],"sequence.":[29],"The":[30,83],"an":[33],"individual-sequence":[34],"version":[35],"quantization":[41,65],"piecewise":[43],"stationary":[44],"sources.":[45],"A":[46],"randomized":[47],"algorithm":[48,66,87],"presented":[50],"can":[52,105],"perform,":[53],"on":[54],"any":[55],"source":[56],"sequence,":[57],"asymptotically":[58],"as":[59,61],"well":[60],"sequence":[70,92,111],"allowed":[73],"change":[75],"employed":[77],"from":[79],"time":[80],"time.":[82],"complexity":[84,104],"quadratic":[89],"in":[90,109],"length.":[93],"At":[94],"price":[96],"a":[98],"slight":[99],"deterioration":[100],"performance,":[102],"be":[106],"made":[107],"linear":[108],"length":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
