{"id":"https://openalex.org/W2106103101","doi":"https://doi.org/10.1109/ijcnn.2003.1223306","title":"Color image segmentation using rival penalized controlled competitive learning","display_name":"Color image segmentation using rival penalized controlled competitive learning","publication_year":2004,"publication_date":"2004-02-03","ids":{"openalex":"https://openalex.org/W2106103101","doi":"https://doi.org/10.1109/ijcnn.2003.1223306","mag":"2106103101"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015421549","display_name":"Lap-tak Law","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lap-tak Law","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","Dept. of Comput. Sci., Hong Kong Baptist Univ., China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Hong Kong Baptist Univ., China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-ming Cheung","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","Hong Kong Baptist University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":1.6647,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.83753808,"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":"108","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.994700014591217,"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/T10057","display_name":"Face and Expression Recognition","score":0.994700014591217,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9785000085830688,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.689193844795227},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6864702105522156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645311713218689},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6526049375534058},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5972998142242432},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.5748147964477539},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5662288665771484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5443347096443176},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.503492534160614},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4694468677043915},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4586513042449951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36025470495224},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.23349225521087646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22830262780189514}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.689193844795227},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6864702105522156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645311713218689},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6526049375534058},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5972998142242432},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.5748147964477539},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5662288665771484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5443347096443176},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.503492534160614},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4694468677043915},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4586513042449951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36025470495224},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.23349225521087646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22830262780189514},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223306","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.3.6694","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.6694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.comp.hkbu.edu.hk/%7Eymc/papers/conference/ijcnn03_710.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6399999856948853}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1524408959","https://openalex.org/W1533504958","https://openalex.org/W1604950860","https://openalex.org/W2006283719","https://openalex.org/W2127218421","https://openalex.org/W2151743402","https://openalex.org/W2168993425","https://openalex.org/W3126453336","https://openalex.org/W4385849465","https://openalex.org/W6678914141","https://openalex.org/W6855625984"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W49175182","https://openalex.org/W2053596378","https://openalex.org/W1982025852","https://openalex.org/W2168523118","https://openalex.org/W2106540031","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Color":[0],"image":[1,16,32,132],"segmentation":[2,133],"has":[3],"been":[4],"extensively":[5],"applied":[6],"to":[7,37],"a":[8,52,94],"lot":[9],"of":[10],"applications":[11],"such":[12,97],"as":[13,119],"pattern":[14],"recognition,":[15],"compression":[17],"and":[18,139],"matching.":[19],"In":[20,55,122],"the":[21,57,75,82,91,108,114,120,128,137],"literature,":[22],"conventional":[23],"k-means":[24,138],"is":[25,47],"one":[26],"common":[27],"algorithm":[28],"used":[29],"in":[30,79,134],"pixel-based":[31],"segmentation.":[33],"However,":[34],"it":[35],"needs":[36],"pre-assign":[38],"an":[39,48],"appropriate":[40],"cluster":[41,77],"number":[42,78],"before":[43],"performing":[44],"clustering,":[45],"which":[46],"intractable":[49],"problem":[50,118],"from":[51,107],"practical":[53],"viewpoint.":[54],"contrast,":[56],"recently":[58],"proposed":[59],"rival":[60],"penalization":[61],"controlled":[62],"competitive":[63],"learning":[64],"(RPCCL)":[65],"approach":[66],"(Cheung,":[67],"2002)":[68],"can":[69],"perform":[70],"correct":[71],"clustering":[72],"without":[73,113],"knowing":[74],"exact":[76],"analog":[80],"with":[81,93,136],"RPCL":[83,140],"(Xu":[84],"et":[85],"al.,":[86],"1993).":[87],"The":[88],"RPCCL":[89,129],"penalizes":[90],"rivals":[92],"strength":[95],"control":[96],"that":[98],"extra":[99],"seed":[100],"points":[101],"are":[102],"automatically":[103],"driven":[104],"far":[105],"away":[106],"input":[109],"data":[110],"set,":[111],"but":[112],"de-learning":[115],"rate":[116],"selecting":[117],"RPCL.":[121],"this":[123],"paper,":[124],"we":[125],"further":[126],"investigate":[127],"on":[130],"color":[131],"comparison":[135],"algorithms.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}