{"id":"https://openalex.org/W1888304086","doi":"https://doi.org/10.1109/dcc.2004.1281523","title":"Relation between fractal dimension and performance of vector quantization","display_name":"Relation between fractal dimension and performance of vector quantization","publication_year":2004,"publication_date":"2004-06-10","ids":{"openalex":"https://openalex.org/W1888304086","doi":"https://doi.org/10.1109/dcc.2004.1281523","mag":"1888304086"},"language":"en","primary_location":{"id":"doi:10.1109/dcc.2004.1281523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2004.1281523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2004. Proceedings. DCC 2004","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/A5036698400","display_name":"Krishna Kumaraswamy","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. Kumaraswamy","raw_affiliation_strings":["Center For Automated Learning and Discovery, CMU, Switzerland","Center For Automated Learning and Discovery, CMU"],"affiliations":[{"raw_affiliation_string":"Center For Automated Learning and Discovery, CMU, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Center For Automated Learning and Discovery, CMU","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Faloutsos","raw_affiliation_strings":["Center For Automated Learning and Discovery, CMU, Switzerland","Center For Automated Learning and Discovery, CMU"],"affiliations":[{"raw_affiliation_string":"Center For Automated Learning and Discovery, CMU, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Center For Automated Learning and Discovery, CMU","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065080279","display_name":"Guoqiang Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoqiang Shan","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046892627","display_name":"Vasileios Megalooikonomou","orcid":null},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Megalooikonomou","raw_affiliation_strings":["Department of Computer and Information Sciences, Temple University, USA","[Temple University]"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Temple University, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"[Temple University]","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036698400"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07917798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"547","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9628999829292297,"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/T10320","display_name":"Neural Networks and Applications","score":0.9628999829292297,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9573000073432922,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9330000281333923,"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/correlation-dimension","display_name":"Correlation dimension","score":0.7199360132217407},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6930862069129944},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.6902315020561218},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.6877623200416565},{"id":"https://openalex.org/keywords/fractal-transform","display_name":"Fractal transform","score":0.6479833722114563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.622969925403595},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5771223306655884},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5665949583053589},{"id":"https://openalex.org/keywords/fractal-dimension-on-networks","display_name":"Fractal dimension on networks","score":0.5372182726860046},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4942338764667511},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.48453325033187866},{"id":"https://openalex.org/keywords/fractal-analysis","display_name":"Fractal analysis","score":0.4285370111465454},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.4244087338447571},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3477250635623932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27125978469848633},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22985225915908813},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.20717525482177734},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19750428199768066},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.09701502323150635}],"concepts":[{"id":"https://openalex.org/C110601934","wikidata":"https://www.wikidata.org/wiki/Q5172849","display_name":"Correlation dimension","level":4,"score":0.7199360132217407},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6930862069129944},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.6902315020561218},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.6877623200416565},{"id":"https://openalex.org/C144112376","wikidata":"https://www.wikidata.org/wiki/Q5477512","display_name":"Fractal transform","level":5,"score":0.6479833722114563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.622969925403595},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5771223306655884},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5665949583053589},{"id":"https://openalex.org/C60396315","wikidata":"https://www.wikidata.org/wiki/Q5477489","display_name":"Fractal dimension on networks","level":5,"score":0.5372182726860046},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4942338764667511},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.48453325033187866},{"id":"https://openalex.org/C162494671","wikidata":"https://www.wikidata.org/wiki/Q2845227","display_name":"Fractal analysis","level":4,"score":0.4285370111465454},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.4244087338447571},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3477250635623932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27125978469848633},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22985225915908813},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.20717525482177734},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19750428199768066},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.09701502323150635},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc.2004.1281523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc.2004.1281523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Compression Conference, 2004. Proceedings. DCC 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2089419199"],"related_works":["https://openalex.org/W2099055867","https://openalex.org/W2042422814","https://openalex.org/W1594604454","https://openalex.org/W1963897639","https://openalex.org/W1868966746","https://openalex.org/W4288450835","https://openalex.org/W2051989386","https://openalex.org/W1987554137","https://openalex.org/W2361102472","https://openalex.org/W1888304086"],"abstract_inverted_index":{"This":[0],"paper":[1],"shows":[2],"that":[3],"the":[4,13,18,31,42,46,52,55,60,64,67,74],"performance":[5],"of":[6,17,54,66,76],"a":[7,22],"vector":[8,83],"quantizer":[9],"is":[10,71],"related":[11],"to":[12,29,40,51],"intrinsic":[14],"(\"fractal\")":[15],"dimension":[16,57,70],"data":[19,37,77],"set":[20],"for":[21],"perfectly":[23],"self-similar":[24],"object.":[25],"Experiments":[26],"are":[27],"performed":[28],"confirm":[30],"result":[32],"on":[33,73],"synthetic":[34],"and":[35,48,79],"real":[36],"sets.":[38],"Further":[39],"verify":[41],"result,":[43],"we":[44],"computed":[45],"slope":[47],"compared":[49],"it":[50],"estimate":[53],"fractal":[56,69],"obtained":[58],"using":[59],"correlation":[61,68],"integral.":[62],"However,":[63],"computation":[65],"linear":[72],"number":[75],"points":[78],"significantly":[80],"faster":[81],"than":[82],"quantization.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
