{"id":"https://openalex.org/W2788652429","doi":"https://doi.org/10.3233/jifs-169373","title":"Automated paper impurities evaluation using feature representations based on ADMM sparse codes","display_name":"Automated paper impurities evaluation using feature representations based on ADMM sparse codes","publication_year":2018,"publication_date":"2018-02-27","ids":{"openalex":"https://openalex.org/W2788652429","doi":"https://doi.org/10.3233/jifs-169373","mag":"2788652429"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169373","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169373","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5045823204","display_name":"Qizi Huangpeng","orcid":"https://orcid.org/0000-0001-5931-2672"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qizi Huangpeng","raw_affiliation_strings":["College of Information System and Management, National University of Defense Technology, Changsha, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Information System and Management, National University of Defense Technology, Changsha, P.R. China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067389581","display_name":"Wenwei Huang","orcid":"https://orcid.org/0000-0002-7756-6577"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwei Huang","raw_affiliation_strings":["College of Nine, National University of Defense Technology, Changsha, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Nine, National University of Defense Technology, Changsha, P.R. China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005365251","display_name":"Hanyi Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyi Shi","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, P.R. China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045823204"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4927,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70558034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":"2","first_page":"797","last_page":"805"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9972000122070312,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9850999712944031,"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/computer-science","display_name":"Computer science","score":0.7056505680084229},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6598113179206848},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.601433515548706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5910940766334534},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5826315879821777},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5746104121208191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5444260239601135},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4207792580127716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38227903842926025},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3398122191429138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056505680084229},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6598113179206848},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.601433515548706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5910940766334534},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5826315879821777},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5746104121208191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5444260239601135},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4207792580127716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38227903842926025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3398122191429138},{"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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169373","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169373","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1624854622","https://openalex.org/W1972689590","https://openalex.org/W1979418077","https://openalex.org/W1992189566","https://openalex.org/W2014906509","https://openalex.org/W2025003456","https://openalex.org/W2027922120","https://openalex.org/W2029507661","https://openalex.org/W2044465660","https://openalex.org/W2054063078","https://openalex.org/W2100705753","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2124386111","https://openalex.org/W2125148312","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2169856283","https://openalex.org/W2239036328","https://openalex.org/W2400677352","https://openalex.org/W2514193426","https://openalex.org/W2546653957","https://openalex.org/W4249293656","https://openalex.org/W4250297470","https://openalex.org/W4285719527","https://openalex.org/W6676727762","https://openalex.org/W6726291392"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"To":[0],"automatic":[1],"detect":[2],"and":[3,44,81,101,109,129,136],"characterize":[4],"paper":[5,67,78,118],"impurities":[6,79],"with":[7,18,50],"computer":[8],"vision,":[9],"we":[10],"present":[11],"a":[12,114],"novel":[13],"two":[14],"parts":[15],"evaluation":[16,80,134],"procedure":[17,108],"feature":[19,83,99],"representations":[20],"using":[21],"Alternating":[22],"Direction":[23],"Method":[24],"of":[25,87,116,133],"Multipliers":[26],"(ADMM)":[27],"sparse":[28,41,82,93,102],"codes.":[29],"The":[30],"method":[31,126],"is":[32,127],"based":[33],"on":[34,113],"an":[35,55],"offline":[36],"training":[37],"step":[38,58],"to":[39,59,64,91,105],"obtain":[40],"coeffici":[42],"ents":[43],"codebooks":[45],"via":[46],"learning":[47],"extracted":[48],"features":[49],"ADMM":[51,89],"optimization,":[52],"followed":[53],"by":[54],"online":[56],"detection":[57],"use":[60],"linear":[61],"SVM":[62],"classifier":[63],"assess":[65],"defective":[66],"samples":[68],"from":[69],"non-defective":[70],"ones.":[71],"Our":[72],"approach":[73],"bridges":[74],"the":[75,107,124],"gap":[76],"between":[77],"representations,":[84],"taking":[85],"advantages":[86],"existing":[88],"algorithms":[90],"handle":[92],"codes":[94],"problem.":[95],"We":[96],"compare":[97],"different":[98],"descriptors":[100],"code":[103],"methods":[104],"implement":[106],"experimentally":[110],"validate":[111],"it":[112],"dataset":[115],"11":[117],"classes.":[119],"Experiment":[120],"results":[121],"show":[122],"that":[123],"proposed":[125],"competitive":[128],"effective":[130],"in":[131],"terms":[132],"accuracy":[135],"speed.":[137]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
