{"id":"https://openalex.org/W3012495047","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035258","title":"Selecting the Best Optimal Feature Correspondence with Deep Learning","display_name":"Selecting the Best Optimal Feature Correspondence with Deep Learning","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012495047","doi":"https://doi.org/10.1109/aiccsa47632.2019.9035258","mag":"3012495047"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa47632.2019.9035258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","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/A5032621337","display_name":"Kamalkhan Artykbayev","orcid":null},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Kamalkhan Artykbayev","raw_affiliation_strings":["Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071400454","display_name":"Askhat Temir","orcid":null},"institutions":[{"id":"https://openalex.org/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Askhat Temir","raw_affiliation_strings":["Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]},{"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/I60559429","display_name":"Nazarbayev University","ror":"https://ror.org/052bx8q98","country_code":"KZ","type":"education","lineage":["https://openalex.org/I60559429"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"M. Fatih Demirci","raw_affiliation_strings":["Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Nazarbayev University, Nur-Sultan, Kazakhstan","institution_ids":["https://openalex.org/I60559429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60559429"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21786957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9986000061035156,"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/feature","display_name":"Feature (linguistics)","score":0.7284063696861267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6199100017547607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041818261146545},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.538718044757843},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5370612740516663},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.52247154712677},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5104652643203735},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.47546476125717163},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44574418663978577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3970659375190735},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3475113809108734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2550322413444519}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7284063696861267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6199100017547607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041818261146545},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.538718044757843},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5370612740516663},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.52247154712677},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5104652643203735},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.47546476125717163},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44574418663978577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3970659375190735},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3475113809108734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2550322413444519},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/aiccsa47632.2019.9035258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa47632.2019.9035258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"},{"id":"pmh:b9e48657-6827-4235-96db-72218ce7155c","is_oa":false,"landing_page_url":"https://avesis.aybu.edu.tr/publication/details/b9e48657-6827-4235-96db-72218ce7155c/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055213","display_name":"AYBU AVESIS","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:nur.nu.edu.kz:123456789/15344","is_oa":false,"landing_page_url":"https://nur.nu.edu.kz/handle/123456789/15344","pdf_url":null,"source":{"id":"https://openalex.org/S4377196417","display_name":"Nazarbayev University Repository (Nazarbayev University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60559429","host_organization_name":"Nazarbayev University","host_organization_lineage":["https://openalex.org/I60559429"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of IEEE ACS International Conference on Computer Systems and Applications Aiccsa","raw_type":"Article"},{"id":"mag:3042803650","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002287353344194","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","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W127013308","https://openalex.org/W920184757","https://openalex.org/W1042572501","https://openalex.org/W1522911029","https://openalex.org/W1536343877","https://openalex.org/W1561797649","https://openalex.org/W1922126009","https://openalex.org/W1968634166","https://openalex.org/W2114549861","https://openalex.org/W2143668817","https://openalex.org/W2156598602","https://openalex.org/W2561074213","https://openalex.org/W2604986120","https://openalex.org/W2608018946","https://openalex.org/W2753112373","https://openalex.org/W2768360176","https://openalex.org/W2946315274","https://openalex.org/W2963674285","https://openalex.org/W6605126162","https://openalex.org/W6736436517","https://openalex.org/W6986970559"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Finding":[0],"a":[1,4,30,55,92,106,121],"correspondence":[2],"between":[3],"pair":[5],"of":[6,43,68,91,116,133],"feature":[7,44,64],"sets":[8,42],"is":[9,27,71],"an":[10],"important":[11],"problem":[12,26],"with":[13,123],"several":[14],"applications":[15],"ranging":[16],"from":[17],"camera":[18],"calibration":[19],"to":[20,72,76],"panoramic":[21],"image":[22],"generation.":[23],"When":[24],"this":[25,69],"formulated":[28],"as":[29,97],"transportation":[31,57],"(or,":[32],"minimum-cost":[33],"network":[34],"flow)":[35],"problem,":[36,58],"the":[37,41,47,78,100,117,124,129,134],"optimal":[38,51,60,79,94,110],"solution":[39,61,95,111],"induces":[40],"correspondences.":[45,65],"Considering":[46],"case":[48],"where":[49],"multiple":[50],"solutions":[52],"exist":[53],"for":[54],"given":[56],"each":[59],"yields":[62],"different":[63],"The":[66,113],"objective":[67],"paper":[70],"utilize":[73],"deep":[74,108],"learning":[75],"select":[77],"solution,":[80],"which":[81],"best":[82],"preserves":[83],"local":[84],"neighborhood":[85],"information":[86],"in":[87],"such":[88],"cases.":[89],"Instead":[90],"hand-crafted":[93],"selection":[96],"done":[98],"by":[99],"previous":[101,125],"work":[102,119],"[6],":[103],"we":[104],"propose":[105],"novel":[107],"learning-based":[109],"selection.":[112],"experimental":[114],"evaluation":[115],"proposed":[118],"including":[120],"comparison":[122],"framework":[126],"demonstrates":[127],"both":[128],"effectiveness":[130],"and":[131],"efficiency":[132],"overall":[135],"approach.":[136]},"counts_by_year":[],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}