{"id":"https://openalex.org/W2037079904","doi":"https://doi.org/10.1109/icnc.2013.6818015","title":"Context quantization based on the modified genetic algorithm with K-means","display_name":"Context quantization based on the modified genetic algorithm with K-means","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2037079904","doi":"https://doi.org/10.1109/icnc.2013.6818015","mag":"2037079904"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2013.6818015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","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/A5100337209","display_name":"Min Chen","orcid":"https://orcid.org/0000-0002-0960-4447"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Chen","raw_affiliation_strings":["Department of electronic engineering, Yunnan University, Kunming, China","Department of Electronic Engineering, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Department of electronic engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"Department of Electronic Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385443","display_name":"Jianhua Chen","orcid":"https://orcid.org/0000-0002-3637-2565"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Chen","raw_affiliation_strings":["Dianchi College, Yunnan University, Kunming, China"],"affiliations":[{"raw_affiliation_string":"Dianchi College, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100337209"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80534997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"434","last_page":"438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9965999722480774,"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":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9735000133514404,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9168999791145325,"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/crossover","display_name":"Crossover","score":0.8361787796020508},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6697328090667725},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6465643644332886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.576351523399353},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5430563688278198},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.5378144979476929},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4587439000606537},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.4257805645465851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34967413544654846},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3309571146965027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2657635807991028},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.136053204536438},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.06413739919662476}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8361787796020508},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6697328090667725},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6465643644332886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.576351523399353},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5430563688278198},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.5378144979476929},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4587439000606537},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.4257805645465851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34967413544654846},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3309571146965027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2657635807991028},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.136053204536438},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06413739919662476},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2013.6818015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2013.6818015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Ninth International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1844645940","https://openalex.org/W1999075329","https://openalex.org/W2035233912","https://openalex.org/W2082967074","https://openalex.org/W2095963120","https://openalex.org/W2132119275","https://openalex.org/W2136774480","https://openalex.org/W2146417538","https://openalex.org/W6638539026"],"related_works":["https://openalex.org/W2014162767","https://openalex.org/W2809283963","https://openalex.org/W2033915107","https://openalex.org/W2115729582","https://openalex.org/W2363406585","https://openalex.org/W2375437568","https://openalex.org/W2106492215","https://openalex.org/W2326694407","https://openalex.org/W2082859007","https://openalex.org/W2378719652"],"abstract_inverted_index":{"In":[0,17],"this":[1,18],"paper,":[2],"the":[3,20,27,31,37,49,54,60,62,65,80,83,93,97,104,111,116],"context":[4,22,87,118],"quantization":[5,119],"for":[6,59],"I-ary":[7],"sources":[8],"based":[9],"on":[10],"a":[11],"modified":[12],"genetic":[13],"algorithm":[14,106],"is":[15,24,45,73],"presented.":[16],"algorithm,":[19],"optimal":[21,32],"quantizer":[23,88],"described":[25],"by":[26,115],"chromosome":[28],"which":[29],"contains":[30],"number":[33,98],"of":[34,82,96,99],"classes":[35],"and":[36,64],"corresponding":[38],"cluster":[39],"centers.":[40],"The":[41,57,85],"adaptive":[42],"code":[43],"length":[44],"used":[46],"to":[47,52,78],"evaluate":[48],"fitness":[50],"value":[51],"find":[53],"best":[55,112],"chromosome.":[56],"rules":[58],"selection,":[61],"crossover":[63],"mutation":[66],"operations":[67],"are":[68],"discussed.":[69],"A":[70],"K-means":[71],"operator":[72],"incorporated":[74],"in":[75],"each":[76],"iteration":[77],"accelerate":[79],"convergence":[81],"algorithm.":[84],"optimized":[86],"can":[89],"be":[90],"obtained":[91,114],"without":[92],"prior":[94],"knowledge":[95],"classes.":[100],"Simulations":[101],"indicate":[102],"that":[103,109],"proposed":[105],"produces":[107],"results":[108],"approximate":[110],"result":[113],"K-means-based":[117],"with":[120],"lower":[121],"computational":[122],"complexity.":[123]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}