{"id":"https://openalex.org/W3005356852","doi":"https://doi.org/10.1631/fitee.1900399","title":"Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network","display_name":"Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial network","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3005356852","doi":"https://doi.org/10.1631/fitee.1900399","mag":"3005356852"},"language":"en","primary_location":{"id":"doi:10.1631/fitee.1900399","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1900399","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology &amp; Electronic Engineering","raw_type":"journal-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/A5009695060","display_name":"Szu-Chi Chen","orcid":"https://orcid.org/0000-0001-6019-7034"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Steven Szu-Chi Chen","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia"],"raw_orcid":"https://orcid.org/0000-0001-6019-7034","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004971220","display_name":"Hui Cui","orcid":"https://orcid.org/0000-0001-8224-4698"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hui Cui","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064825154","display_name":"Minghan Du","orcid":"https://orcid.org/0000-0002-2822-6373"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ming-han Du","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022863266","display_name":"Tieming Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tie-ming Fu","raw_affiliation_strings":["School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388513","display_name":"Xiaohong Sun","orcid":"https://orcid.org/0000-0003-1941-6148"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-hong Sun","raw_affiliation_strings":["School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029104204","display_name":"Yi Ji","orcid":"https://orcid.org/0000-0001-6965-4158"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Ji","raw_affiliation_strings":["School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Art and Design, Guangdong University of Technology, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086858785","display_name":"Henry Been\u2010Lirn Duh","orcid":"https://orcid.org/0000-0003-4808-6109"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Henry Duh","raw_affiliation_strings":["Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, La Trobe University, Melbourne, 3086, Australia","institution_ids":["https://openalex.org/I196829312"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029104204"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.6101,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73736753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"12","first_page":"1632","last_page":"1643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9768000245094299,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9768000245094299,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11666","display_name":"Color Science and Applications","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.688271164894104},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6470227837562561},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.610431432723999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6062480211257935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749027132987976},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5289109945297241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4988105297088623},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.49000921845436096},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4869488477706909},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47184088826179504},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.44483324885368347},{"id":"https://openalex.org/keywords/seal","display_name":"Seal (emblem)","score":0.41851866245269775},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4156866669654846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32668960094451904}],"concepts":[{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.688271164894104},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6470227837562561},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.610431432723999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6062480211257935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749027132987976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5289109945297241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4988105297088623},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.49000921845436096},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4869488477706909},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47184088826179504},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.44483324885368347},{"id":"https://openalex.org/C2777755289","wikidata":"https://www.wikidata.org/wiki/Q162919","display_name":"Seal (emblem)","level":2,"score":0.41851866245269775},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4156866669654846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32668960094451904},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/fitee.1900399","is_oa":false,"landing_page_url":"https://doi.org/10.1631/fitee.1900399","pdf_url":null,"source":{"id":"https://openalex.org/S4210189857","display_name":"Frontiers of Information Technology & Electronic Engineering","issn_l":"2095-9184","issn":["2095-9184","2095-9230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Information Technology &amp; Electronic Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1583700199","https://openalex.org/W1601346953","https://openalex.org/W1661871015","https://openalex.org/W1861492603","https://openalex.org/W1969055160","https://openalex.org/W1981486982","https://openalex.org/W1999360130","https://openalex.org/W2071231805","https://openalex.org/W2097073572","https://openalex.org/W2128901179","https://openalex.org/W2149706766","https://openalex.org/W2261730354","https://openalex.org/W2292976057","https://openalex.org/W2308529009","https://openalex.org/W2326925005","https://openalex.org/W2330813625","https://openalex.org/W2461158874","https://openalex.org/W2785738164","https://openalex.org/W2793797739","https://openalex.org/W2802636049","https://openalex.org/W2804918468","https://openalex.org/W2808312419","https://openalex.org/W2892246504","https://openalex.org/W2950064337","https://openalex.org/W2956194374","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2965289598","https://openalex.org/W2967209289","https://openalex.org/W4236137412","https://openalex.org/W4245352206"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W1972656095","https://openalex.org/W2970216048"],"abstract_inverted_index":{"Accurate":[0],"recognition":[1],"of":[2,44,54,58,101,106,126],"modern":[3],"and":[4,21,24,35,68,130,154],"traditional":[5],"porcelain":[6,14,32,47,95,109,153],"styles":[7],"is":[8,49,77],"a":[9,28,81,91],"challenging":[10],"issue":[11],"in":[12,71,150],"Cantonese":[13,102,108,152],"management":[15],"due":[16],"to":[17,89,97,120,146],"the":[18,40,113,140,144,148],"large":[19],"variety":[20],"complex":[22],"elements":[23,96],"patterns.":[25],"We":[26],"propose":[27],"hybrid":[29],"system":[30,142],"with":[31,94],"style":[33],"identification":[34,41],"image":[36,136],"recreation":[37],"modules.":[38],"In":[39],"module,":[42],"prediction":[43],"an":[45],"unknown":[46],"sample":[48],"obtained":[50,64],"by":[51,65],"logistic":[52],"regression":[53],"ensembled":[55],"neural":[56],"networks":[57],"top-ranked":[59],"design":[60],"signatures,":[61],"which":[62,86],"are":[63],"discriminative":[66],"analysis":[67],"transformed":[69],"features":[70],"principal":[72],"components.":[73],"The":[74],"synthesis":[75],"module":[76],"developed":[78],"based":[79],"on":[80,135],"conditional":[82],"generative":[83],"adversarial":[84],"network,":[85],"enables":[87],"users":[88],"provide":[90],"designed":[92],"mask":[93],"generate":[98],"synthesized":[99],"images":[100,110],"porcelain.":[103],"Experimental":[104],"results":[105],"603":[107],"demonstrate":[111],"that":[112,139],"proposed":[114,141],"model":[115],"outperforms":[116],"other":[117],"methods":[118],"relative":[119],"precision,":[121],"recall,":[122],"area":[123],"under":[124],"curve":[125],"receiver":[127],"operating":[128],"characteristic,":[129],"confusion":[131],"matrix.":[132],"Case":[133],"studies":[134],"creation":[137],"indicate":[138],"has":[143],"potential":[145],"engage":[147],"community":[149],"understanding":[151],"promote":[155],"this":[156],"intangible":[157],"cultural":[158],"heritage.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-16T07:32:37.131356","created_date":"2025-10-10T00:00:00"}
