{"id":"https://openalex.org/W2117058215","doi":"https://doi.org/10.1109/ijcnn.2004.1379879","title":"Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense","display_name":"Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2117058215","doi":"https://doi.org/10.1109/ijcnn.2004.1379879","mag":"2117058215"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1379879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5061746347","display_name":"A. Hegde","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Hegde","raw_affiliation_strings":["CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA"],"affiliations":[{"raw_affiliation_string":"CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Erdogmus","raw_affiliation_strings":["CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA"],"affiliations":[{"raw_affiliation_string":"CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089268324","display_name":"Tue Lehn-Schi\u00f8ler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Lehn-Schioler","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113349896","display_name":"Y.N. Rao","orcid":"https://orcid.org/0009-0007-0238-8837"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Y.N. Rao","raw_affiliation_strings":["CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA"],"affiliations":[{"raw_affiliation_string":"CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.C. Principe","raw_affiliation_strings":["CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA"],"affiliations":[{"raw_affiliation_string":"CNEL, Electrical & Computer Engineering Department, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061746347"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.5969,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.71417783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10057","display_name":"Face and Expression Recognition","score":0.9962000250816345,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.7790694832801819},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.746694028377533},{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"Learning vector quantization","score":0.6389340758323669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6173272132873535},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5935602784156799},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5408800840377808},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5245592594146729},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4723312258720398},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4676757752895355},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.44552528858184814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4332998991012573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41407954692840576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3039381504058838}],"concepts":[{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.7790694832801819},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.746694028377533},{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.6389340758323669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6173272132873535},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5935602784156799},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5408800840377808},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5245592594146729},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4723312258720398},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4676757752895355},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.44552528858184814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4332998991012573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41407954692840576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3039381504058838},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2004.1379879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1379879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.637.4758","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.637.4758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cnel.ufl.edu/files/1163620008.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.89.846","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/3110/pdf/imm3110.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/a4f30121-ce68-4e21-a32d-d8537e8517cf","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/a4f30121-ce68-4e21-a32d-d8537e8517cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Hegde , A , Erdogmus , D , Lehn-Schi\u00f8ler , T , Rao , Y &amp; Principe , J 2004 , Vector-Quantization by density matching in the minimum Kullback-Leibler divergence sense . in IEEE International Conference on Neural Networks - Conference Proceedings . &lt; http://www.imm.dtu.dk/pubdb/p.php?3110 &gt;","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1597507633","https://openalex.org/W1965555277","https://openalex.org/W1993646420","https://openalex.org/W2051719061","https://openalex.org/W2089438500","https://openalex.org/W2134383396","https://openalex.org/W2135186252","https://openalex.org/W2148319325","https://openalex.org/W2150593711"],"related_works":["https://openalex.org/W4243803532","https://openalex.org/W1530525041","https://openalex.org/W4244998381","https://openalex.org/W2352648934","https://openalex.org/W4230688072","https://openalex.org/W1915693853","https://openalex.org/W2378212145","https://openalex.org/W2798892016","https://openalex.org/W2100492357","https://openalex.org/W2202992072"],"abstract_inverted_index":{"Representation":[0],"of":[1,5,34,77,84,89,103,111],"a":[2,9,31,44,65,104],"large":[3],"set":[4,33],"high-dimensional":[6],"data":[7,29,54,96],"is":[8,92],"fundamental":[10],"problem":[11,22],"in":[12,52],"many":[13],"applications":[14],"such":[15,115],"as":[16,97,99,116],"communications":[17],"and":[18,118],"biomedical":[19],"systems.":[20],"The":[21,62,87],"has":[23],"been":[24],"tackled":[25],"by":[26],"encoding":[27],"the":[28,50,53,70,75,78,82,85,112],"with":[30,81,109],"compact":[32],"code-vectors":[35],"called":[36],"processing":[37,79],"elements.":[38],"In":[39],"this":[40,90],"study,":[41],"we":[42],"propose":[43],"vector":[45],"quantization":[46],"technique":[47],"that":[48],"encodes":[49],"information":[51,59],"using":[55],"concepts":[56],"derived":[57],"from":[58],"theoretic":[60],"learning.":[61],"algorithm":[63,91],"minimizes":[64],"cost":[66],"function":[67],"based":[68],"on":[69,94,100],"Kullback-Liebler":[71],"divergence":[72],"to":[73],"match":[74],"distribution":[76,83],"elements":[80],"data.":[86],"performance":[88],"demonstrated":[93],"synthetic":[95],"well":[98],"an":[101],"edge-image":[102],"face.":[105],"Comparisons":[106],"are":[107],"provided":[108],"some":[110],"existing":[113],"algorithms":[114],"LBG":[117],"SOM.":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
