{"id":"https://openalex.org/W2150874597","doi":"https://doi.org/10.1109/fskd.2011.6020072","title":"A distributed SVM for scalable image annotation","display_name":"A distributed SVM for scalable image annotation","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2150874597","doi":"https://doi.org/10.1109/fskd.2011.6020072","mag":"2150874597"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6020072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6020072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5056257417","display_name":"Nasullah Khalid Alham","orcid":"https://orcid.org/0000-0003-1479-3251"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nasullah Khalid Alham","raw_affiliation_strings":["School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026237130","display_name":"Maozhen Li","orcid":"https://orcid.org/0000-0002-0820-5487"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maozhen Li","raw_affiliation_strings":["School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019274127","display_name":"Suhel Hammoud","orcid":"https://orcid.org/0000-0003-4086-368X"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Suhel Hammoud","raw_affiliation_strings":["Brunel University, Uxbridge, Middlesex, GB"],"affiliations":[{"raw_affiliation_string":"Brunel University, Uxbridge, Middlesex, GB","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042856500","display_name":"Mahesh Ponraj","orcid":null},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesh Ponraj","raw_affiliation_strings":["School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Design, Brunel University, Uxbridge, Middlesex, UK","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056257417"],"corresponding_institution_ids":["https://openalex.org/I59433898"],"apc_list":null,"apc_paid":null,"fwci":1.0302,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81048684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":null,"first_page":"2655","last_page":"2658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8902533650398254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.831099271774292},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7035440802574158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5995751023292542},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.5809358358383179},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5649314522743225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5570430159568787},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5335972905158997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5212117433547974},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5195581912994385},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46432584524154663},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.46362924575805664},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4592059254646301},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44161421060562134},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3784893751144409},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10694217681884766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05668613314628601}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8902533650398254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.831099271774292},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7035440802574158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995751023292542},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.5809358358383179},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5649314522743225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5570430159568787},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5335972905158997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5212117433547974},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5195581912994385},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46432584524154663},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.46362924575805664},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4592059254646301},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44161421060562134},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3784893751144409},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10694217681884766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05668613314628601},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6020072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6020072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1872430906","https://openalex.org/W1967838552","https://openalex.org/W1999902215","https://openalex.org/W2029109699","https://openalex.org/W2099262739","https://openalex.org/W2105847589","https://openalex.org/W2108593662","https://openalex.org/W2116173306","https://openalex.org/W2117990954","https://openalex.org/W2130660124","https://openalex.org/W2136030026","https://openalex.org/W2143205179","https://openalex.org/W2149509651","https://openalex.org/W2150773524","https://openalex.org/W2161713006","https://openalex.org/W2164641162","https://openalex.org/W2503302184","https://openalex.org/W2737940299","https://openalex.org/W6677732001","https://openalex.org/W6680403273"],"related_works":["https://openalex.org/W2566406229","https://openalex.org/W3177930984","https://openalex.org/W2052697133","https://openalex.org/W2119028572","https://openalex.org/W2376984068","https://openalex.org/W2152482390","https://openalex.org/W2365617273","https://openalex.org/W2076896210","https://openalex.org/W2506386910","https://openalex.org/W2117928543"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"techniques":[2],"have":[3],"facilitated":[4],"image":[5,56],"retrieval":[6],"by":[7],"automatically":[8],"classifying":[9],"and":[10,67],"annotating":[11],"images":[12],"with":[13],"keywords.":[14],"Among":[15],"them":[16],"Support":[17],"Vector":[18],"Machines":[19],"(SVMs)":[20],"are":[21],"used":[22],"extensively":[23],"due":[24],"to":[25],"their":[26],"generalization":[27],"properties.":[28],"However,":[29],"SVM":[30,51,69,89],"training":[31,41,61,93],"is":[32,43,79],"notably":[33],"a":[34,49,73,98],"computationally":[35],"intensive":[36],"process":[37],"especially":[38],"when":[39],"the":[40,60,87,92],"dataset":[42],"large.":[44],"This":[45],"paper":[46],"presents":[47],"MRSVM,":[48],"distributed":[50,88],"algorithm":[52,90],"for":[53],"large":[54],"scale":[55],"annotation":[57],"which":[58],"partitions":[59],"data":[62],"set":[63],"into":[64],"smaller":[65],"subsets":[66],"train":[68],"in":[70,81,103],"parallel":[71],"using":[72],"cluster":[74],"of":[75,101],"computing":[76],"nodes.":[77],"MRSVM":[78],"evaluated":[80],"an":[82],"experimental":[83],"environment":[84],"showing":[85],"that":[86],"reduces":[91],"time":[94],"significantly":[95],"while":[96],"maintaining":[97],"high":[99],"level":[100],"accuracy":[102],"classifications.":[104]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}