{"id":"https://openalex.org/W2147283272","doi":"https://doi.org/10.1109/igarss.2003.1294337","title":"Support vector machines in multisource classification","display_name":"Support vector machines in multisource classification","publication_year":2004,"publication_date":"2004-07-08","ids":{"openalex":"https://openalex.org/W2147283272","doi":"https://doi.org/10.1109/igarss.2003.1294337","mag":"2147283272"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2003.1294337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","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/A5001212155","display_name":"G\u00edsli H. Halld\u00f3rsson","orcid":"https://orcid.org/0000-0001-7067-9862"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"G.H. Halldorsson","raw_affiliation_strings":["Engineering Research Institute, University of Iceland, Reykjavik, Iceland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Institute, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"J.A. Benediktsson","raw_affiliation_strings":["Engineering Research Institute, University of Iceland, Reykjavik, Iceland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Institute, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008277487","display_name":"J\u00f3hannes R. Sveinsson","orcid":"https://orcid.org/0000-0001-6309-3126"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"J.R. Sveinsson","raw_affiliation_strings":["Engineering Research Institute, University of Iceland, Reykjavik, Iceland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Institute, University of Iceland, Reykjavik, Iceland","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.0887,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95313241,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"2054","last_page":"2056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.8364601135253906},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.7525304555892944},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6304612159729004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6171494722366333},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6145480871200562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6018885970115662},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5837598443031311},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5490059852600098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5481106638908386},{"id":"https://openalex.org/keywords/structured-support-vector-machine","display_name":"Structured support vector machine","score":0.5360339879989624},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.5006628036499023},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4443252980709076},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.43055883049964905},{"id":"https://openalex.org/keywords/radial-basis-function","display_name":"Radial basis function","score":0.4277253746986389},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.42693957686424255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41697609424591064},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38014236092567444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29148128628730774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1908491849899292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1645505428314209}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8364601135253906},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7525304555892944},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6304612159729004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6171494722366333},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6145480871200562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6018885970115662},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5837598443031311},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5490059852600098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5481106638908386},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.5360339879989624},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.5006628036499023},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4443252980709076},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.43055883049964905},{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.4277253746986389},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.42693957686424255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41697609424591064},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38014236092567444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29148128628730774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1908491849899292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1645505428314209},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2003.1294337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1294337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309627","display_name":"Colorado State University","ror":"https://ror.org/03k1gpj17"},{"id":"https://openalex.org/F4320323298","display_name":"H\u00e1sk\u00f3li \u00cdslands","ror":"https://ror.org/01db6h964"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1488273591","https://openalex.org/W1588401315","https://openalex.org/W1602492977","https://openalex.org/W1676820704","https://openalex.org/W1853295394","https://openalex.org/W2019575783","https://openalex.org/W2103699041","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2172000360","https://openalex.org/W3120421331","https://openalex.org/W3215084437","https://openalex.org/W4285719527","https://openalex.org/W6629172632","https://openalex.org/W6635310694"],"related_works":["https://openalex.org/W2215801697","https://openalex.org/W4376528628","https://openalex.org/W2377594824","https://openalex.org/W2098385475","https://openalex.org/W2181322573","https://openalex.org/W2039745824","https://openalex.org/W2367818765","https://openalex.org/W1537592868","https://openalex.org/W2470590370","https://openalex.org/W2322862995"],"abstract_inverted_index":{"The":[0,99,111],"use":[1],"of":[2,9,43,54,87],"Support":[3],"Vector":[4],"Machines":[5],"(SVMs)":[6],"for":[7,93,121],"classification":[8,30],"multisource":[10,94,122],"data":[11,95,109,123],"is":[12,96],"investigated.":[13],"SVMs":[14],"have":[15,19],"been":[16],"shown":[17],"to":[18,36,118],"difficulties":[20],"in":[21],"classifying":[22],"multiclass":[23,29,56],"data.":[24],"To":[25,58],"over-":[26],"come":[27],"that,the":[28],"problem":[31],"considered":[32],"here":[33],"was":[34],"reduced":[35],"multiple":[37],"margin-based":[38],"binary":[39,44,64],"problems.":[40],"Several":[41],"possibilities":[42],"problems":[45,65],"were":[46,68],"investigated,including":[47],"one-":[48],"against-all,all-pairs":[49],"and":[50],"nearly":[51],"random":[52],"decompositions":[53],"the":[55,60,63,88,115],"problem.":[57],"combine":[59],"outputs":[61],"from":[62,107],"three":[66],"approaches":[67],"tested:":[69],"a)":[70],"voting":[71],"schemes,b)":[72],"two":[73],"loss":[74],"functions,and":[75],"c)":[76],"decoding":[77],"function":[78,91],"based":[79],"on":[80,102],"condi-":[81],"tional":[82],"probability":[83],"estimation.":[84],"An":[85],"extension":[86],"radial":[89],"basis":[90],"kernel":[92,100],"also":[97],"proposed.":[98],"concentrates":[101],"local":[103],"distance":[104],"between":[105],"features":[106],"each":[108],"source.":[110],"experimental":[112],"results":[113],"show":[114],"proposed":[116],"approach":[117],"be":[119],"appropriate":[120],"classification.":[124],"I.I":[125],"NTRODUCTION":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
