乐胖代购免代理版

{"id":"https://openalex.org/W2609888011","doi":"https://doi.org/10.1109/icpr.2016.7899882","title":"Graph model boosting for structural data recognition","display_name":"Graph model boosting for structural data recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609888011","doi":"https://doi.org/10.1109/icpr.2016.7899882","mag":"2609888011"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5009192524","display_name":"Tomo Miyazaki","orcid":"https://orcid.org/0000-0001-5205-0542"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomo Miyazaki","raw_affiliation_strings":["Tohoku University, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020830042","display_name":"Shinichiro Omachi","orcid":"https://orcid.org/0000-0001-7706-9995"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinichiro Omachi","raw_affiliation_strings":["Tohoku University, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku University, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.083,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.214188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":66,"max":73},"biblio":{"volume":null,"issue":null,"first_page":"1707","last_page":"1712"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987,"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/T11106","display_name":"Data Management and Algorithms","score":0.9799,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/boosting","display_name":"Boosting","score":0.7760984},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.44504547}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7760984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584381},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5550134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5341683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4949345},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.44504547},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.44385678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43790638},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43107963},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20531863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.68}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":27,"referenced_works":["https://openalex.org/W120952398","https://openalex.org/W1492230849","https://openalex.org/W1587878450","https://openalex.org/W1588401315","https://openalex.org/W1597213869","https://openalex.org/W1845875229","https://openalex.org/W191001584","https://openalex.org/W1966241362","https://openalex.org/W1968969471","https://openalex.org/W1971105294","https://openalex.org/W1974083754","https://openalex.org/W1988790447","https://openalex.org/W2042834622","https://openalex.org/W2068654564","https://openalex.org/W2072936066","https://openalex.org/W2116925220","https://openalex.org/W2130047783","https://openalex.org/W2142726150","https://openalex.org/W2142965177","https://openalex.org/W2152718278","https://openalex.org/W2158256890","https://openalex.org/W2158458668","https://openalex.org/W2159537329","https://openalex.org/W2167077256","https://openalex.org/W2170607286","https://openalex.org/W2330820318","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4384470695","https://openalex.org/W4366979180","https://openalex.org/W4313640622","https://openalex.org/W4242380336","https://openalex.org/W3134840015","https://openalex.org/W3108206494","https://openalex.org/W3082059448","https://openalex.org/W2739726746","https://openalex.org/W2386430105","https://openalex.org/W2125652721"],"abstract_inverted_index":{"This":[0,105],"paper":[1],"presents":[2],"a":[3,11,30,69,94,120,129,136],"novel":[4,95,121],"method":[5,67,172],"for":[6,20],"structural":[7,21,37,59,125,144,153,163],"data":[8,22,154],"recognition":[9,23,155],"using":[10],"large":[12,70,130],"number":[13,71,131],"of":[14,72,87,132],"graph":[15,73,96],"models.":[16,82],"Broadly,":[17],"existing":[18,179],"methods":[19],"have":[24],"two":[25,85],"crucial":[26],"problems:":[27],"1)":[28],"only":[29],"single":[31],"model":[32,97],"is":[33,93,119],"used":[34],"to":[35,55,109,123,151],"capture":[36,124,143],"variation,":[38],"2)":[39],"naive":[40],"classification":[41,63,159],"rules":[42],"are":[43,84,149],"used,":[44],"such":[45],"as":[46],"nearest":[47],"neighbor":[48],"method.":[49],"In":[50,165],"this":[51,88],"paper,":[52],"we":[53,141,148,167],"propose":[54],"strengthen":[56],"both":[57],"capturing":[58],"variation":[60,145],"and":[61,75,161,176],"the":[62,81,157,170,178],"ability.":[64],"The":[65,90,116],"proposed":[66,171],"constructs":[68],"models":[74,112,134],"trains":[76],"decision":[77],"tree":[78],"classifiers":[79],"with":[80,156],"There":[83],"contributions":[86],"paper.":[89],"first":[91],"contribution":[92,118],"which":[98],"can":[99,142],"be":[100],"constructed":[101],"by":[102],"straightforward":[103],"calculation.":[104],"calculation":[106],"enables":[107],"us":[108],"construct":[110,128],"many":[111],"in":[113,135],"feasible":[114],"time.":[115],"second":[117],"approach":[122],"variation.":[126,164],"We":[127],"our":[133],"boosting":[137],"framework":[138],"so":[139],"that":[140,169],"comprehensively.":[146],"Consequently,":[147],"able":[150],"perform":[152],"powerful":[158],"ability":[160],"comprehensive":[162],"experiments,":[166],"show":[168],"achieves":[173],"significant":[174],"results":[175],"outperforms":[177],"methods.":[180]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2609888011","counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2024-12-11T00:14:34.285327","created_date":"2017-05-05"}