{"id":"https://openalex.org/W2133060400","doi":"https://doi.org/10.1109/icmlc.2010.5580752","title":"A greedy strategy for images segmentation by support vector machines","display_name":"A greedy strategy for images segmentation by support vector machines","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2133060400","doi":"https://doi.org/10.1109/icmlc.2010.5580752","mag":"2133060400"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5101424597","display_name":"Chih\u2010Hung Wu","orcid":"https://orcid.org/0000-0002-8109-068X"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]},{"id":"https://openalex.org/I4210134750","display_name":"Shu-Te University","ror":"https://ror.org/03pcb1m79","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210134750"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hung Wu","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","Department of Information Management, Shu Te University, Kaohsiung, Taiwan","Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Department of Information Management, Shu Te University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210134750"]},{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593135","display_name":"Chun-Yen Chen","orcid":"https://orcid.org/0000-0003-4694-3787"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Yen Chen","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034603816","display_name":"Yan-He Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-He Chen","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Nan-Tzu, Kaohsiung 811, Taiwan","institution_ids":["https://openalex.org/I192168892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101426751","display_name":"Chialin Wu","orcid":"https://orcid.org/0000-0002-1201-7104"},"institutions":[{"id":"https://openalex.org/I192168892","display_name":"National University of Kaohsiung","ror":"https://ror.org/013zjb662","country_code":"TW","type":"education","lineage":["https://openalex.org/I192168892"]},{"id":"https://openalex.org/I4210134750","display_name":"Shu-Te University","ror":"https://ror.org/03pcb1m79","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210134750"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Lin Wu","raw_affiliation_strings":["Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","Department of Information Management, Shu Te University, Kaohsiung, Taiwan","Department of Information Management, Shu-Te University, Yen-Chau, Kaohsiung County 824, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National University of Kaohsiung, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I192168892"]},{"raw_affiliation_string":"Department of Information Management, Shu Te University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210134750"]},{"raw_affiliation_string":"Department of Information Management, Shu-Te University, Yen-Chau, Kaohsiung County 824, Taiwan","institution_ids":["https://openalex.org/I4210134750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036449468","display_name":"Shing\u2010Hwang Doong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134750","display_name":"Shu-Te University","ror":"https://ror.org/03pcb1m79","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210134750"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shing-Hwang Doong","raw_affiliation_strings":["Department of Information Management, Shu Te University, Kaohsiung, Taiwan","Department of Information Management, Shu-Te University, Yen-Chau, Kaohsiung County 824, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Shu Te University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210134750"]},{"raw_affiliation_string":"Department of Information Management, Shu-Te University, Yen-Chau, Kaohsiung County 824, Taiwan","institution_ids":["https://openalex.org/I4210134750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101424597"],"corresponding_institution_ids":["https://openalex.org/I192168892","https://openalex.org/I4210134750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19081184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"2915","last_page":"2920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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/T10057","display_name":"Face and Expression Recognition","score":0.9980999827384949,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.806692361831665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064371109008789},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6688656806945801},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6387835741043091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6279115676879883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5920846462249756},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5826900005340576},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5753452181816101},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.511641800403595},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5099855661392212},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.495006263256073},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.45928382873535156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43347927927970886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34962186217308044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15101498365402222}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.806692361831665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064371109008789},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6688656806945801},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6387835741043091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279115676879883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5920846462249756},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5826900005340576},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5753452181816101},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.511641800403595},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5099855661392212},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.495006263256073},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.45928382873535156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43347927927970886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34962186217308044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15101498365402222},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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":16,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1943383135","https://openalex.org/W1996747841","https://openalex.org/W2005868182","https://openalex.org/W2012071815","https://openalex.org/W2036629387","https://openalex.org/W2040022627","https://openalex.org/W2054714989","https://openalex.org/W2056489048","https://openalex.org/W2059658550","https://openalex.org/W2091664768","https://openalex.org/W2094753268","https://openalex.org/W2106207765","https://openalex.org/W2132870739","https://openalex.org/W2135394914","https://openalex.org/W2152529565"],"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/W2551987074"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,20],"can":[2],"be":[3],"viewed":[4],"as":[5],"an":[6,37],"essential":[7],"step":[8],"for":[9,62],"extracting":[10],"information":[11,48],"from":[12,90],"the":[13,22,32,50,68,81,87,96,99,114,117],"images":[14],"under":[15],"investigation.":[16],"Among":[17],"many":[18],"developed":[19],"methods,":[21],"technique":[23],"of":[24,34,36,70,83,98,116],"clustering":[25,63,88],"has":[26],"been":[27],"extensively":[28],"studied.":[29],"However,":[30],"determining":[31],"number":[33,69,82],"clusters":[35,84],"image":[38,51],"is":[39,52,75],"inherently":[40],"a":[41,46,57,72],"difficult":[42],"problem,":[43],"especially":[44],"when":[45],"priori":[47],"on":[49,95,102],"unavailable.":[53],"This":[54],"study":[55],"proposes":[56],"support":[58,91],"vector":[59,92],"machine":[60],"approach":[61],"images.":[64],"To":[65],"help":[66],"determine":[67],"clusters,":[71],"greedy":[73],"strategy":[74],"designed":[76],"which":[77],"extends":[78],"or":[79],"condenses":[80],"by":[85],"evaluating":[86],"results":[89,109],"machines.":[93],"Comparisons":[94],"effectiveness":[97],"proposed":[100,118],"method":[101],"various":[103],"parameters":[104],"settings":[105],"are":[106,110],"conducted.":[107],"Experimental":[108],"provided":[111],"to":[112],"illustrate":[113],"feasibility":[115],"approach.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
