{"id":"https://openalex.org/W1980048347","doi":"https://doi.org/10.1145/502585.502652","title":"SVM binary classifier ensembles for image classification","display_name":"SVM binary classifier ensembles for image classification","publication_year":2001,"publication_date":"2001-10-05","ids":{"openalex":"https://openalex.org/W1980048347","doi":"https://doi.org/10.1145/502585.502652","mag":"1980048347"},"language":"en","primary_location":{"id":"doi:10.1145/502585.502652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/502585.502652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth international conference on Information and knowledge management","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/A5110667903","display_name":"King-Shy Goh","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"King-Shy Goh","raw_affiliation_strings":["University of California, Santa Barbara, CA","University of California, Santa Barbara, Ca#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California, Santa Barbara, Ca#TAB#","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013545831","display_name":"Edward Yi Chang","orcid":"https://orcid.org/0000-0003-1616-5240"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward Chang","raw_affiliation_strings":["University of California, Santa Barbara, CA","University of California, Santa Barbara, Ca#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California, Santa Barbara, Ca#TAB#","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077687075","display_name":"Kwang\u2010Ting Cheng","orcid":"https://orcid.org/0000-0002-3885-4912"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwang-Ting Cheng","raw_affiliation_strings":["University of California, Santa Barbara, CA","University of California, Santa Barbara, Ca#TAB#"],"affiliations":[{"raw_affiliation_string":"University of California, Santa Barbara, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"University of California, Santa Barbara, Ca#TAB#","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110667903"],"corresponding_institution_ids":["https://openalex.org/I154570441"],"apc_list":null,"apc_paid":null,"fwci":6.5647,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.96213246,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9976999759674072,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9976000189781189,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9966999888420105,"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":0.8006933331489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7352371215820312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7311352491378784},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7086780071258545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008116245269775},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5929771065711975},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5711612701416016},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5691930651664734},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5403831601142883},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47701406478881836},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4620283246040344},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.43741345405578613},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.373171329498291},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2216070592403412},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19896671175956726}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8006933331489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7352371215820312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7311352491378784},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7086780071258545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008116245269775},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5929771065711975},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5711612701416016},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5691930651664734},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5403831601142883},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47701406478881836},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4620283246040344},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.43741345405578613},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.373171329498291},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2216070592403412},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19896671175956726},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/502585.502652","is_oa":false,"landing_page_url":"https://doi.org/10.1145/502585.502652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the tenth international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.ust.hk:1783.1-77865","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-77865","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1553313034","https://openalex.org/W1608401492","https://openalex.org/W1676820704","https://openalex.org/W1794117957","https://openalex.org/W2099968818","https://openalex.org/W2101276256","https://openalex.org/W2107008379","https://openalex.org/W2124240359","https://openalex.org/W2136754135","https://openalex.org/W2138079527","https://openalex.org/W2139212933","https://openalex.org/W2139595215","https://openalex.org/W2148603752","https://openalex.org/W2156909104","https://openalex.org/W2157239837","https://openalex.org/W2912934387","https://openalex.org/W3163638146","https://openalex.org/W3193477162","https://openalex.org/W4255932728","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2073883415","https://openalex.org/W2089304832","https://openalex.org/W1976812808","https://openalex.org/W2086720713","https://openalex.org/W3170311506","https://openalex.org/W3089647251","https://openalex.org/W2004617984","https://openalex.org/W2910954186","https://openalex.org/W4205999209","https://openalex.org/W4288570796"],"abstract_inverted_index":{"We":[0,18],"study":[1,19,86],"how":[2],"the":[3,13,57,61,66,72,76],"SVM-based":[4,67],"binary":[5,68],"classifiers":[6,80],"can":[7],"be":[8],"effectively":[9],"combined":[10],"to":[11,38,98],"tackle":[12],"multi-class":[14],"image":[15],"classification":[16,100],"problem.":[17],"several":[20],"ensemble":[21,49,103],"schemes,":[22],"including":[23],"OPC":[24],"(one":[25],"per":[26],"class),":[27],"PWC":[28],"(pairwise":[29],"coupling),":[30],"and":[31,93],"ECOC":[32],"(error-correction":[33],"output":[34],"coding),":[35],"that":[36,55,89,105],"aim":[37],"achieve":[39],"good":[40],"error":[41,111],"correction":[42,112],"capability":[43],"through":[44],"redundancy.":[45],"To":[46],"enhance":[47],"these":[48],"schemes'":[50],"accuracy,":[51],"we":[52,87],"propose":[53],"methods":[54,96],"on":[56,71],"one":[58],"hand":[59],"boost":[60],"margins":[62],"(i.e.,":[63],"confidence)":[64],"of":[65,78],"classifiers,":[69],"and,":[70],"other":[73],"hand,":[74],"remove":[75],"noise":[77,94],"irrelevant":[79],"from":[81],"class":[82],"prediction.":[83],"From":[84],"empirical":[85],"show":[88],"our":[90],"margin":[91],"boosting":[92],"reduction":[95],"lead":[97],"higher":[99],"accuracy":[101],"than":[102],"schemes":[104],"are":[106],"solely":[107],"designed":[108],"for":[109],"maximum":[110],"capability.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}