{"id":"https://openalex.org/W2059680488","doi":"https://doi.org/10.1109/ijcnn.2012.6252830","title":"Efficient algorithms for linear summed error structural SVMs","display_name":"Efficient algorithms for linear summed error structural SVMs","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2059680488","doi":"https://doi.org/10.1109/ijcnn.2012.6252830","mag":"2059680488"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110281667","display_name":"P. Balamurugan","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Balamurugan","raw_affiliation_strings":["Computer Science and Automation, Indian Institute of Science, Bangalore, India","Computer Science And Automation, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Computer Science And Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026126465","display_name":"Shirish Shevade","orcid":"https://orcid.org/0009-0009-7202-6860"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shirish Shevade","raw_affiliation_strings":["Computer Science and Automation, Indian Institute of Science, Bangalore, India","Computer Science And Automation, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Computer Science And Automation, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052364789","display_name":"T. Ravindra Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I110675161","display_name":"Infosys (India)","ror":"https://ror.org/03bs18y54","country_code":"IN","type":"company","lineage":["https://openalex.org/I110675161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. Ravindra Babu","raw_affiliation_strings":["E-Com Research Laboratory, Education and Research, Infosys Limited, Bangalore, India","E-Com Research Lab, Education and Research, Infosys Ltd., Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"E-Com Research Laboratory, Education and Research, Infosys Limited, Bangalore, India","institution_ids":["https://openalex.org/I110675161"]},{"raw_affiliation_string":"E-Com Research Lab, Education and Research, Infosys Ltd., Bangalore, India","institution_ids":["https://openalex.org/I110675161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15344834,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7289552688598633},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7150224447250366},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6927093267440796},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6554932594299316},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6503084897994995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5619044303894043},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5065256357192993},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4831382930278778},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4572335183620453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.438281774520874},{"id":"https://openalex.org/keywords/structured-prediction","display_name":"Structured prediction","score":0.422709196805954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32814687490463257},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29596346616744995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21516403555870056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289552688598633},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7150224447250366},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6927093267440796},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6554932594299316},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6503084897994995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5619044303894043},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5065256357192993},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4831382930278778},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4572335183620453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.438281774520874},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.422709196805954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32814687490463257},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29596346616744995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21516403555870056},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:45528","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W175058090","https://openalex.org/W1518470882","https://openalex.org/W1934019294","https://openalex.org/W2004109264","https://openalex.org/W2027552332","https://openalex.org/W2031248101","https://openalex.org/W2035720976","https://openalex.org/W2044502056","https://openalex.org/W2105842272","https://openalex.org/W2115364117","https://openalex.org/W2123729042","https://openalex.org/W2127091553","https://openalex.org/W2142557384","https://openalex.org/W2146851241","https://openalex.org/W2147880316","https://openalex.org/W2152540201","https://openalex.org/W2165966284","https://openalex.org/W2282078507","https://openalex.org/W2343954916","https://openalex.org/W2407980920","https://openalex.org/W4243794444","https://openalex.org/W6640267182","https://openalex.org/W6651365042","https://openalex.org/W6675783020","https://openalex.org/W6677054210","https://openalex.org/W6678345230","https://openalex.org/W6680873162","https://openalex.org/W6681846278","https://openalex.org/W6682082992"],"related_works":["https://openalex.org/W2117229703","https://openalex.org/W3120756218","https://openalex.org/W2395088808","https://openalex.org/W2139276415","https://openalex.org/W3162204513","https://openalex.org/W2187599770","https://openalex.org/W2022712430","https://openalex.org/W3152506997","https://openalex.org/W2953178323","https://openalex.org/W4295727671"],"abstract_inverted_index":{"Structural":[0],"Support":[1],"Vector":[2],"Machines":[3],"(SSVMs)":[4],"have":[5,31],"become":[6],"a":[7,45,49,85,144],"popular":[8],"tool":[9],"in":[10],"machine":[11],"learning":[12],"for":[13,34,37,72,81,147],"predicting":[14],"structured":[15],"objects":[16],"like":[17],"parse":[18],"trees,":[19],"Part-of-Speech":[20],"(POS)":[21],"label":[22],"sequences":[23],"and":[24,48,95,109,134],"image":[25],"segments.":[26],"Various":[27],"efficient":[28,97],"algorithmic":[29],"techniques":[30],"been":[32],"proposed":[33],"training":[35,68,148],"SSVMs":[36,149],"large":[38],"datasets.":[39],"The":[40,53],"typical":[41],"SSVM":[42,87,103],"formulation":[43,104],"contains":[44],"regularizer":[46],"term":[47,55,75,94],"composite":[50],"loss":[51,54,74,93],"term.":[52],"is":[56,128,142,154],"usually":[57],"composed":[58],"of":[59],"the":[60,67,73,101,122,131,136],"Linear":[61,89],"Maximum":[62],"Error":[63,91],"(LME)":[64],"associated":[65],"with":[66,88],"examples.":[69],"Other":[70],"alternatives":[71],"are":[76],"yet":[77],"to":[78,99],"be":[79],"explored":[80],"SSVMs.":[82],"We":[83],"formulate":[84],"new":[86,102],"Summed":[90],"(LSE)":[92],"propose":[96],"algorithms":[98],"train":[100],"using":[105],"primal":[106],"cutting-plane":[107,132],"method":[108,127,133],"sequential":[110,123],"dual":[111,124],"coordinate":[112,125],"descent":[113,126],"method.":[114],"Numerical":[115],"experiments":[116],"on":[117],"benchmark":[118],"datasets":[119],"demonstrate":[120],"that":[121],"faster":[129],"than":[130],"reaches":[135],"steady-state":[137],"generalization":[138],"performance":[139],"faster.":[140],"It":[141],"thus":[143],"useful":[145],"alternative":[146],"when":[150],"linear":[151],"summed":[152],"error":[153],"used.":[155]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
