{"id":"https://openalex.org/W2535354805","doi":"https://doi.org/10.1109/acpr.2011.6166579","title":"Segmentation Ensemble via Kernels","display_name":"Segmentation Ensemble via Kernels","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2535354805","doi":"https://doi.org/10.1109/acpr.2011.6166579","mag":"2535354805"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5085994461","display_name":"Sandro Vega-Pons","orcid":"https://orcid.org/0000-0003-2332-3489"},"institutions":[{"id":"https://openalex.org/I4210095957","display_name":"Advanced Technologies Application Center","ror":"https://ror.org/00pwma409","country_code":"CU","type":"nonprofit","lineage":["https://openalex.org/I4210095957"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Sandro Vega-Pons","raw_affiliation_strings":["Advanced Technologies Application Center (CENATAV), Havana, Cuba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV), Havana, Cuba","institution_ids":["https://openalex.org/I4210095957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022183918","display_name":"Xiaoyi Jiang","orcid":"https://orcid.org/0000-0001-7678-9528"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xiaoyi Jiang","raw_affiliation_strings":["Department of Mathematics and Computer Science, University of M\u00fcnster, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, University of M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045113658","display_name":"Jos\u00e9 Ru\u00edz-Shulcloper","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095957","display_name":"Advanced Technologies Application Center","ror":"https://ror.org/00pwma409","country_code":"CU","type":"nonprofit","lineage":["https://openalex.org/I4210095957"]}],"countries":["CU"],"is_corresponding":false,"raw_author_name":"Jose Ruiz-Shulcloper","raw_affiliation_strings":["Advanced Technologies Application Center (CENATAV), Havana, Cuba"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Technologies Application Center (CENATAV), Havana, Cuba","institution_ids":["https://openalex.org/I4210095957"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0291,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77027877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"686","last_page":"690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9948999881744385,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9934999942779541,"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/cluster-analysis","display_name":"Cluster analysis","score":0.710053563117981},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6424344182014465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6237043738365173},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6028331518173218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5994899272918701},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.594852864742279},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5158697366714478},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5149610638618469},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.43381866812705994},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42982548475265503},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41223275661468506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32162123918533325},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.253609836101532}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.710053563117981},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6424344182014465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237043738365173},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6028331518173218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5994899272918701},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.594852864742279},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5158697366714478},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5149610638618469},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.43381866812705994},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42982548475265503},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41223275661468506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32162123918533325},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.253609836101532},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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":18,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1602075893","https://openalex.org/W1606247071","https://openalex.org/W2002767255","https://openalex.org/W2033403400","https://openalex.org/W2080795979","https://openalex.org/W2086808754","https://openalex.org/W2115346774","https://openalex.org/W2116046277","https://openalex.org/W2121927366","https://openalex.org/W2135881767","https://openalex.org/W2139280638","https://openalex.org/W2157305458","https://openalex.org/W3144619878","https://openalex.org/W4244030505","https://openalex.org/W4285719527","https://openalex.org/W6635873315","https://openalex.org/W6636255973"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Clustering":[0],"ensemble":[1,34,65,82,123],"is":[2,76,90,109],"a":[3,19,24,69,91],"promising":[4],"technique":[5],"to":[6,17,39,72,119],"face":[7],"data":[8],"clustering":[9,81,122],"problems.":[10,31],"Similarly,":[11],"the":[12,42,50,56,63,79,87,104,113,129],"combination":[13],"of":[14,131],"different":[15],"segmentations":[16,102],"obtain":[18],"consensus":[20],"one":[21],"could":[22],"be":[23,37],"powerful":[25],"tool":[26],"for":[27],"addressing":[28],"image":[29,45,115],"segmentation":[30,33,64],"Such":[32],"algorithms":[35],"should":[36,48],"able":[38],"deal":[40],"with":[41],"possible":[43],"large":[44],"size":[46],"and":[47,67,94,117],"preserve":[49],"spatial":[51],"relation":[52],"among":[53],"pixels":[54],"in":[55,103],"image.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,95],"formalize":[62],"problem":[66],"introduce":[68],"new":[70],"method":[71],"solve":[73],"it,":[74],"which":[75],"based":[77],"on":[78,112],"kernel":[80,92],"philosophy.":[83],"We":[84],"prove":[85],"that":[86],"Rand":[88],"index":[89],"function":[93],"use":[96],"it":[97],"as":[98],"similarity":[99],"measure":[100],"between":[101],"proposed":[105],"algorithm.":[106],"This":[107],"algorithm":[108],"experimentally":[110],"evaluated":[111],"Berkeley":[114],"database":[116],"compared":[118],"several":[120],"state-of-the-art":[121],"algorithms.":[124],"The":[125],"achieved":[126],"results":[127],"ratify":[128],"accuracy":[130],"our":[132],"proposal.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
