{"id":"https://openalex.org/W4389777265","doi":"https://doi.org/10.1109/iisa59645.2023.10345964","title":"Guided Learning Based on Bezier Curves with Selective Weight Adjustment","display_name":"Guided Learning Based on Bezier Curves with Selective Weight Adjustment","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4389777265","doi":"https://doi.org/10.1109/iisa59645.2023.10345964"},"language":"en","primary_location":{"id":"doi:10.1109/iisa59645.2023.10345964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa59645.2023.10345964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","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/A5100719566","display_name":"Chulhee Lee","orcid":"https://orcid.org/0000-0002-2509-167X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"C. Lee","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering","Dept. Electronic and Electrical Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Dept. Electronic and Electrical Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101745218","display_name":"Jaeseok Kim","orcid":"https://orcid.org/0000-0002-2533-9292"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"J. Kim","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering","Dept. Electronic and Electrical Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Dept. Electronic and Electrical Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026990067","display_name":"Seongyoun Woo","orcid":"https://orcid.org/0000-0002-7992-0357"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"S. Woo","raw_affiliation_strings":["Yonsei University,Dept. Electronic and Electrical Engineering","Dept. Electronic and Electrical Engineering, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Dept. Electronic and Electrical Engineering","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Dept. Electronic and Electrical Engineering, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30898242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9898999929428101,"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/b\u00e9zier-curve","display_name":"B\u00e9zier curve","score":0.7931455373764038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7379903197288513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.734818696975708},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6614683866500854},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6034485697746277},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5217590928077698},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5062941312789917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48518994450569153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4394959509372711},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20424500107765198}],"concepts":[{"id":"https://openalex.org/C206423108","wikidata":"https://www.wikidata.org/wiki/Q214728","display_name":"B\u00e9zier curve","level":2,"score":0.7931455373764038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7379903197288513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.734818696975708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6614683866500854},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6034485697746277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5217590928077698},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5062941312789917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48518994450569153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4394959509372711},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20424500107765198},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/iisa59645.2023.10345964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa59645.2023.10345964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Information, Intelligence, Systems &amp; Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5843890721","display_name":null,"funder_award_id":"NRF-2022R1F1A1073557","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W2033310064","https://openalex.org/W2117539524","https://openalex.org/W2123099218","https://openalex.org/W2525579820","https://openalex.org/W2574952845","https://openalex.org/W2899336029","https://openalex.org/W2949103145","https://openalex.org/W2963070423","https://openalex.org/W2963684088","https://openalex.org/W2981860227","https://openalex.org/W2997223206","https://openalex.org/W3007869767","https://openalex.org/W3021941048","https://openalex.org/W3105976275","https://openalex.org/W3108341030","https://openalex.org/W3171706131","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6685352114","https://openalex.org/W6733049761","https://openalex.org/W6738397735","https://openalex.org/W6746608116"],"related_works":["https://openalex.org/W2873344491","https://openalex.org/W2389575128","https://openalex.org/W2313232378","https://openalex.org/W1903555144","https://openalex.org/W2357871848","https://openalex.org/W2165642858","https://openalex.org/W2372035321","https://openalex.org/W2956876562","https://openalex.org/W4385391169","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Although":[0],"CNN-based":[1,50,128],"classifiers":[2,51],"have":[3,12],"been":[4],"successfully":[5],"used":[6],"for":[7,60],"image":[8],"classification,":[9],"they":[10],"still":[11],"several":[13],"problems.":[14],"Recognition":[15],"performance":[16,118],"may":[17,52],"suffer":[18],"when":[19],"input":[20],"images":[21,124],"are":[22,37,102],"heavily":[23],"resized,":[24],"rotated":[25],"or":[26],"shifted.":[27],"Another":[28],"critical":[29],"problem":[30],"is":[31],"that":[32,49],"slightly":[33],"modified":[34],"images,":[35],"which":[36],"imperceptible":[38],"to":[39,54,65,69,87],"human":[40],"eyes,":[41],"can":[42],"be":[43],"incorrectly":[44],"classified.":[45],"These":[46],"results":[47],"indicate":[48],"fail":[53],"use":[55,70,84],"robust":[56,117],"and":[57,82,98,109,119],"valid":[58],"features":[59],"pattern":[61],"classification.":[62],"In":[63],"order":[64],"force":[66],"the":[67,89,95],"CNN":[68],"relevant":[71],"features,":[72],"we":[73],"first":[74],"apply":[75],"feature":[76],"extraction":[77],"based":[78],"on":[79],"Bezier":[80,96],"curves":[81,97],"then":[83],"neural":[85,99],"networks":[86],"classify":[88],"projected":[90],"data.":[91],"The":[92,113],"adjustments":[93],"of":[94],"network":[100],"parameters":[101],"intertwined":[103],"along":[104],"with":[105],"selective":[106],"weight":[107],"adjustment":[108],"adaptive":[110],"expanding":[111],"structures.":[112],"proposed":[114],"method":[115],"provided":[116],"correctly":[120],"classified":[121],"most":[122],"adversarial":[123],"produced":[125],"by":[126],"conventional":[127],"classifiers.":[129]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
