{"id":"https://openalex.org/W2608420405","doi":"https://doi.org/10.1109/icpr.2016.7900032","title":"Shape classification with a vertex clustering graph kernel","display_name":"Shape classification with a vertex clustering graph kernel","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608420405","doi":"https://doi.org/10.1109/icpr.2016.7900032","mag":"2608420405"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900032","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icpr.2016.7900032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5101517110","display_name":"Lu Bai","orcid":"https://orcid.org/0000-0002-1033-8908"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Bai","raw_affiliation_strings":["School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079734512","display_name":"Lixin Cui","orcid":"https://orcid.org/0000-0003-1620-6532"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Cui","raw_affiliation_strings":["School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371984","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-0278-2347"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070648432","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0001-7746-5955"},"institutions":[{"id":"https://openalex.org/I137867983","display_name":"Central University of Finance and Economics","ror":"https://ror.org/008e3hf02","country_code":"CN","type":"education","lineage":["https://openalex.org/I137867983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Jin","raw_affiliation_strings":["School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, Central University of Finance and Economics, 39 South College Road, Beijing, China","institution_ids":["https://openalex.org/I137867983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790836","display_name":"Xiao Bai","orcid":"https://orcid.org/0000-0001-8561-9299"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Bai","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074364400","display_name":"Edwin R. Hancock","orcid":"https://orcid.org/0000-0003-4496-2028"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Edwin R. Hancock","raw_affiliation_strings":["Department of Computer Science, University of York, YO10 5DD, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, YO10 5DD, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101517110"],"corresponding_institution_ids":["https://openalex.org/I137867983"],"apc_list":null,"apc_paid":null,"fwci":0.1689,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62211746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"2634","last_page":"2639"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973999857902527,"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/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9948999881744385,"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/cluster-analysis","display_name":"Cluster analysis","score":0.5851190090179443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5753708481788635},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.4890511929988861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4367222189903259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37507927417755127},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3642950654029846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32951098680496216},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25575897097587585}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5851190090179443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753708481788635},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.4890511929988861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4367222189903259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37507927417755127},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3642950654029846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32951098680496216},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25575897097587585}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2016.7900032","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icpr.2016.7900032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:115961","is_oa":false,"landing_page_url":"https://orcid.org/0000-0002-2482-005X>","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"mag:3163120620","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201702256681247208","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1482568066","https://openalex.org/W1527042480","https://openalex.org/W1555744841","https://openalex.org/W1570448133","https://openalex.org/W1816257748","https://openalex.org/W1879085217","https://openalex.org/W1901379498","https://openalex.org/W1992208818","https://openalex.org/W1994356125","https://openalex.org/W2012294338","https://openalex.org/W2024938892","https://openalex.org/W2028785429","https://openalex.org/W2030339748","https://openalex.org/W2035635004","https://openalex.org/W2079527407","https://openalex.org/W2107726887","https://openalex.org/W2115467367","https://openalex.org/W2119860852","https://openalex.org/W2124228533","https://openalex.org/W2124824205","https://openalex.org/W2136345497","https://openalex.org/W2136507529","https://openalex.org/W2137476097","https://openalex.org/W2142498761","https://openalex.org/W2147286743","https://openalex.org/W2153635508","https://openalex.org/W2963048617","https://openalex.org/W2964057329","https://openalex.org/W4293683928","https://openalex.org/W6628717828","https://openalex.org/W6639488449","https://openalex.org/W6648971603","https://openalex.org/W6653648381","https://openalex.org/W6675989954","https://openalex.org/W6679209274","https://openalex.org/W6679517787","https://openalex.org/W6680132778","https://openalex.org/W6681029592","https://openalex.org/W6682910706"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Graph":[0],"kernels":[1,15,36,110],"are":[2],"powerful":[3],"tools":[4],"for":[5,37],"structural":[6,20],"analysis":[7],"in":[8,90,111],"computer":[9,38],"vision.Unfortunately,":[10],"most":[11,91],"existing":[12,35,62,92],"stateof-the-art":[13],"graph":[14,70,93,109,120],"ignore":[16],"the":[17,27,32,59,79,98,101],"locational":[18],"or":[19],"correspondence":[21,83,102],"information":[22,84],"between":[23,85,100],"graphs,":[24],"based":[25,40,119],"on":[26,116],"visual":[28],"background.This":[29],"drawback":[30],"influences":[31],"performance":[33],"of":[34,45,53,81,113],"vision":[39],"classification":[41,44,114],"problems,":[42],"e.g.,":[43],"shapes,":[46],"point":[47],"clouds":[48],"and":[49],"digital":[50],"images.The":[51],"aim":[52],"this":[54,74],"paper":[55],"is":[56],"to":[57],"address":[58],"problem":[60],"with":[61],"kernels,":[63,94],"by":[64],"developing":[65],"a":[66],"novel":[67],"vertex":[68],"clustering":[69],"kernel.We":[71],"show":[72],"that":[73,88],"kernel":[75,104],"not":[76],"only":[77],"overcomes":[78],"shortcoming":[80],"ignoring":[82],"isomorphic":[86],"substructures":[87],"arises":[89],"but":[95],"also":[96],"guarantees":[97],"transitivity":[99],"information.Our":[103],"can":[105],"easily":[106],"outperform":[107],"state-of-the-art":[108],"terms":[112],"accuracy":[115],"standard":[117],"shape":[118],"datasets.":[121]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}