{"id":"https://openalex.org/W2090763504","doi":"https://doi.org/10.1109/grc.2005.1547374","title":"Classification using support vector machines with graded resolution","display_name":"Classification using support vector machines with graded resolution","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2090763504","doi":"https://doi.org/10.1109/grc.2005.1547374","mag":"2090763504"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2005.1547374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","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/A5103422682","display_name":"Lipo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]},{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Lipo Wang","raw_affiliation_strings":["College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xiangtan University, Xiangtan, Hunan, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115588743","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0002-3938-1539"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102149142","display_name":"Chunru Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chunru Wan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103422682"],"corresponding_institution_ids":["https://openalex.org/I172675005","https://openalex.org/I4610292"],"apc_list":null,"apc_paid":null,"fwci":0.8812,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.76351992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"666","last_page":"670 Vol. 2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9950000047683716,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9944999814033508,"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/support-vector-machine","display_name":"Support vector machine","score":0.9620617628097534},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.6430202722549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6403927803039551},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6369787454605103},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6256856322288513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6239297389984131},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5939351916313171},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5501022934913635},{"id":"https://openalex.org/keywords/sequential-minimal-optimization","display_name":"Sequential minimal optimization","score":0.4941411316394806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38247859477996826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2153681516647339}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.9620617628097534},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.6430202722549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6403927803039551},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6369787454605103},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6256856322288513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6239297389984131},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5939351916313171},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5501022934913635},{"id":"https://openalex.org/C10719679","wikidata":"https://www.wikidata.org/wiki/Q2679145","display_name":"Sequential minimal optimization","level":3,"score":0.4941411316394806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38247859477996826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2153681516647339},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2005.1547374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","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":27,"referenced_works":["https://openalex.org/W1500731913","https://openalex.org/W1512098439","https://openalex.org/W1546647560","https://openalex.org/W1604938182","https://openalex.org/W1621799579","https://openalex.org/W1930125749","https://openalex.org/W1947957290","https://openalex.org/W1989130143","https://openalex.org/W1994807229","https://openalex.org/W2084812512","https://openalex.org/W2119821739","https://openalex.org/W2139212933","https://openalex.org/W2140494000","https://openalex.org/W2142114945","https://openalex.org/W2143750468","https://openalex.org/W2149365847","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2157741195","https://openalex.org/W2164393635","https://openalex.org/W2167379017","https://openalex.org/W3120421331","https://openalex.org/W4213001804","https://openalex.org/W4239510810","https://openalex.org/W4253407057","https://openalex.org/W4302081184","https://openalex.org/W6671611538"],"related_works":["https://openalex.org/W1948992892","https://openalex.org/W2384390720","https://openalex.org/W2209805890","https://openalex.org/W2767160479","https://openalex.org/W2539940072","https://openalex.org/W4253128984","https://openalex.org/W2394447189","https://openalex.org/W2051187167","https://openalex.org/W2090763504","https://openalex.org/W1583456686"],"abstract_inverted_index":{"A":[0],"method":[1],"which":[2],"we":[3,23],"call":[4],"support":[5,40,66],"vector":[6],"machine":[7],"with":[8,54],"graded":[9],"resolution":[10],"(SVM-GR)":[11],"is":[12,105],"proposed":[13],"in":[14],"this":[15],"paper.":[16],"During":[17],"the":[18,21,30,45,51,55,69,76,89,99,103,108],"training":[19,47,63],"of":[20,83,102],"SVM-GR,":[22],"first":[24],"form":[25],"data":[26,35,95],"granules":[27,36],"to":[28,49,107],"train":[29,50],"SVM-GR":[31,59,77,104],"and":[32,65,72],"remove":[33],"those":[34,82],"that":[37,87,98],"are":[38,78],"not":[39],"vectors.":[41],"We":[42],"then":[43],"use":[44,88],"remaining":[46],"samples":[48,64],"SVM-GR.":[52],"Compared":[53],"traditional":[56,109],"SVM,":[57],"our":[58],"algorithm":[60],"requires":[61],"fewer":[62],"vectors,":[67],"hence":[68],"computational":[70],"time":[71],"memory":[73],"requirements":[74],"for":[75],"much":[79],"smaller":[80],"than":[81],"a":[84],"conventional":[85],"SVM":[86],"entire":[90],"dataset.":[91],"Experiments":[92],"on":[93],"benchmark":[94],"sets":[96],"show":[97],"generalization":[100],"performance":[101],"comparable":[106],"SVM.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
