{"id":"https://openalex.org/W1992557143","doi":"https://doi.org/10.4304/jcp.5.2.202-209","title":"Adaptive Extraction of Principal Colors Using an Improved Self-Growing Network","display_name":"Adaptive Extraction of Principal Colors Using an Improved Self-Growing Network","publication_year":2009,"publication_date":"2009-11-20","ids":{"openalex":"https://openalex.org/W1992557143","doi":"https://doi.org/10.4304/jcp.5.2.202-209","mag":"1992557143"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.5.2.202-209","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.5.2.202-209","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-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/A5100723637","display_name":"Yurong Li","orcid":"https://orcid.org/0000-0002-3244-8083"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yurong Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079719473","display_name":"Zhengdong Du","orcid":"https://orcid.org/0000-0003-3550-0817"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengdong Du","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5103362331","display_name":"Hongguang Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongguang Fu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100723637"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4362,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71126998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9962000250816345,"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":0.9962000250816345,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9887999892234802,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9843000173568726,"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/computer-science","display_name":"Computer science","score":0.5743036270141602},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.561565637588501},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.5037984251976013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47279924154281616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42730385065078735},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.15925952792167664},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.12261879444122314},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.052615582942962646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5743036270141602},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.561565637588501},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.5037984251976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47279924154281616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42730385065078735},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.15925952792167664},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.12261879444122314},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.052615582942962646}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.5.2.202-209","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.5.2.202-209","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1517305000","https://openalex.org/W1550065359","https://openalex.org/W1679913846","https://openalex.org/W1994192826","https://openalex.org/W2045671623","https://openalex.org/W2046372172","https://openalex.org/W2081684581","https://openalex.org/W2159887832","https://openalex.org/W2376439809","https://openalex.org/W2404306640"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,19,22,42,76,112,127,148],"solve":[4],"the":[5,24,31,40,45,56,61,65,79,98,105,114,129,132,138,144,163,166,176,179],"two":[6],"major":[7],"issues":[8],"existing":[9],"in":[10,29,38,55,104,125,182],"current":[11],"color":[12,57,185],"quantization":[13],"algorithms.":[14],"The":[15,134],"first":[16],"one":[17],"is":[18,33,36,74,118,169,172],"require":[20],"users":[21],"specify":[23],"number":[25,86,99,145,164],"of":[26,52,64,82,87,97,102,131,146,156,165,184],"representative":[27,167],"colors":[28,41,81,147,160,168],"advance;":[30],"other":[32],"that":[34,91,137,175],"it":[35],"difficult":[37],"choosing":[39],"describe":[43],"accurately":[44],"essential":[46],"details":[47],"represented":[48],"by":[49],"small":[50],"groups":[51],"pixels":[53],"isolated":[54,159],"space.":[58],"Based":[59],"on":[60,95,121],"growing":[62],"mechanism":[63],"Growing":[66],"When":[67],"Required":[68],"neural":[69],"network,":[70],"a":[71],"novel":[72],"algorithm":[73,177],"proposed":[75,139],"adaptively":[77],"extract":[78],"prominent":[80],"an":[83,93,151],"image.":[84],"A":[85,108],"criteria":[88],"are":[89],"introduced":[90],"have":[92],"effect":[94],"controlling":[96],"and":[100],"topology":[101],"neurons":[103],"output":[106],"layer.":[107],"global":[109],"permutation":[110],"method":[111,140],"rearrange":[113],"input":[115],"sample":[116],"order":[117,126],"presented":[119],"based":[120],"Linear":[122],"Pixels":[123],"Shuffling":[124],"improve":[128],"performance":[130],"network.":[133],"experiments":[135],"show":[136],"can":[141],"automatically":[142],"estimate":[143],"efficiently":[149],"represent":[150],"original":[152],"image,":[153],"meanwhile":[154],"capable":[155],"retaining":[157],"important":[158],"even":[161],"when":[162],"low.":[170],"It":[171],"also":[173],"shown":[174],"outperforms":[178],"popular":[180],"ones":[181],"terms":[183],"distortion.":[186]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
