{"id":"https://openalex.org/W2312793938","doi":"https://doi.org/10.1109/siu.2015.7130398","title":"Generalized class representative computation with graph embedding and clustering","display_name":"Generalized class representative computation with graph embedding and clustering","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2312793938","doi":"https://doi.org/10.1109/siu.2015.7130398","mag":"2312793938"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2015.7130398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","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/A5035501876","display_name":"Fahri Aydos","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fahri Aydos","raw_affiliation_strings":["Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye","Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB Ekonomi ve Teknoloji \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye","institution_ids":["https://openalex.org/I13236232"]},{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB Ekonomi ve Teknoloji \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050989522","display_name":"M. Fatih Demirci","orcid":"https://orcid.org/0000-0001-7002-7506"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Fatih Demirci","raw_affiliation_strings":["Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye","Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB Ekonomi ve Teknoloji \u00dcniversitesi, Ankara, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar Mühendisliği Bölümü, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye","institution_ids":["https://openalex.org/I13236232"]},{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, TOBB Ekonomi ve Teknoloji \u00dcniversitesi, Ankara, T\u00fcrkiye","institution_ids":["https://openalex.org/I13236232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21421844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2525","last_page":"2528"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11106","display_name":"Data Management and Algorithms","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7190922498703003},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6524778008460999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5991993546485901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.572334885597229},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5517371892929077},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.51261967420578},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5043517351150513},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.503682553768158},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44459396600723267},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4428517818450928},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4394940733909607},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4196029007434845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3765662610530853},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32918617129325867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22563216090202332}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7190922498703003},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6524778008460999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5991993546485901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.572334885597229},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5517371892929077},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.51261967420578},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5043517351150513},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.503682553768158},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44459396600723267},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4428517818450928},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4394940733909607},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4196029007434845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3765662610530853},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32918617129325867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22563216090202332},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2015.7130398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2015.7130398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W333587792","https://openalex.org/W1545506776","https://openalex.org/W1591023849","https://openalex.org/W1970615687","https://openalex.org/W1976466396","https://openalex.org/W1987472643","https://openalex.org/W2051026205","https://openalex.org/W2124386111","https://openalex.org/W2142730790","https://openalex.org/W2143668817","https://openalex.org/W2145862222","https://openalex.org/W2160754664","https://openalex.org/W2170467231"],"related_works":["https://openalex.org/W3036264823","https://openalex.org/W2912814903","https://openalex.org/W3206528106","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W2082479932","https://openalex.org/W2123605750","https://openalex.org/W2932872266","https://openalex.org/W2088740331","https://openalex.org/W4281484020"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5,38,41],"object":[6,25,28,39,42],"category":[7,43],"representation":[8],"framework":[9],"by":[10,33,46],"first":[11],"showing":[12],"objects":[13],"as":[14],"graph":[15],"structures":[16],"and":[17,40,62],"embedding":[18],"graphs":[19],"into":[20],"vector":[21],"spaces":[22],"for":[23],"color":[24],"recognition.":[26],"The":[27,35,50],"categories":[29],"are":[30],"then":[31],"built":[32],"clustering.":[34],"distance":[36],"between":[37],"is":[44],"computed":[45,67],"Earth":[47],"Mover's":[48],"Distance.":[49],"proposed":[51],"method":[52],"has":[53,65],"been":[54,66],"successfully":[55],"evaluated":[56],"on":[57],"a":[58],"number":[59],"of":[60],"datasets,":[61],"its":[63],"performance":[64],"against":[68],"previous":[69],"techniques.":[70]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}