{"id":"https://openalex.org/W2970178929","doi":"https://doi.org/10.1109/icip.2019.8802926","title":"Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks","display_name":"Semi-Supervised Learning Via Feedforward-Designed Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970178929","doi":"https://doi.org/10.1109/icip.2019.8802926","mag":"2970178929"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8802926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-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/A5009039461","display_name":"Yueru Chen","orcid":"https://orcid.org/0000-0003-0580-5097"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yueru Chen","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060735481","display_name":"Yijing Yang","orcid":"https://orcid.org/0000-0003-4197-2570"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijing Yang","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402934","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6940-7146"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009039461"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72369178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"41","issue":null,"first_page":"365","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T10036","display_name":"Advanced Neural Network Applications","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/mnist-database","display_name":"MNIST database","score":0.8405745029449463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014093637466431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7381372451782227},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7377412915229797},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.711759090423584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5361632704734802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5346269607543945},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5091699957847595},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5060977339744568},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4606594443321228},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4314002990722656}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8405745029449463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014093637466431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7381372451782227},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7377412915229797},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.711759090423584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5361632704734802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5346269607543945},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5091699957847595},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5060977339744568},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4606594443321228},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4314002990722656},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8802926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W613690151","https://openalex.org/W1630959083","https://openalex.org/W1636781679","https://openalex.org/W2048679005","https://openalex.org/W2061526129","https://openalex.org/W2079057609","https://openalex.org/W2107008379","https://openalex.org/W2107167693","https://openalex.org/W2108501770","https://openalex.org/W2112796928","https://openalex.org/W2115629999","https://openalex.org/W2136504847","https://openalex.org/W2167055186","https://openalex.org/W2311440533","https://openalex.org/W2335728318","https://openalex.org/W2498672755","https://openalex.org/W2519796145","https://openalex.org/W2608422103","https://openalex.org/W2619371851","https://openalex.org/W2764024122","https://openalex.org/W2894843516","https://openalex.org/W2962690605","https://openalex.org/W2963170156","https://openalex.org/W2963373786","https://openalex.org/W2963882473","https://openalex.org/W2970677604","https://openalex.org/W3118608800","https://openalex.org/W6636599907","https://openalex.org/W6636649365","https://openalex.org/W6675944832","https://openalex.org/W6676132248","https://openalex.org/W6680140577","https://openalex.org/W6698986724","https://openalex.org/W6703116779","https://openalex.org/W6718379498","https://openalex.org/W6738597727","https://openalex.org/W6745510850","https://openalex.org/W6745773308","https://openalex.org/W6755133158","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W4386603768","https://openalex.org/W2950475743","https://openalex.org/W2886711096","https://openalex.org/W2750384547","https://openalex.org/W3008580913","https://openalex.org/W1701967867","https://openalex.org/W3202412105","https://openalex.org/W830076066","https://openalex.org/W2952229419","https://openalex.org/W58880273"],"abstract_inverted_index":{"A":[0],"semi-supervised":[1,41,79,111],"learning":[2,42],"framework":[3],"using":[4],"the":[5,61,68,77,83,90,105],"feedforward-designed":[6],"convolutional":[7],"neural":[8],"networks":[9],"(FF-CNNs)":[10],"is":[11,24,28,95],"proposed":[12,78],"for":[13],"image":[14],"classification":[15,115],"in":[16,30,60],"this":[17],"work.":[18],"One":[19],"unique":[20],"property":[21],"of":[22,57,92,109],"FF-CNNs":[23,112],"that":[25,76,103],"no":[26],"backpropagation":[27,87],"used":[29],"model":[31],"parameters":[32],"determination.":[33],"Since":[34],"unlabeled":[35,58],"data":[36,59,94],"may":[37],"not":[38],"always":[39],"enhance":[40],"[1],":[43],"we":[44,98],"define":[45],"an":[46,100],"effective":[47],"quality":[48],"score":[49],"and":[50,71,74],"use":[51],"it":[52],"to":[53,113],"select":[54],"a":[55],"subset":[56],"training":[62],"process.":[63],"We":[64],"conduct":[65],"experiments":[66],"on":[67,125],"MNIST,":[69],"SVHN,":[70],"CIFAR-10":[72],"datasets,":[73],"show":[75],"FF-CNN":[80],"solution":[81],"outperforms":[82],"CNN":[84],"trained":[85],"by":[86],"(BP-CNN)":[88],"when":[89],"amount":[91],"labeled":[93],"reduced.":[96],"Furthermore,":[97],"develop":[99],"ensemble":[101,118],"system":[102],"combines":[104],"output":[106],"decision":[107],"vectors":[108],"different":[110],"boost":[114],"accuracy.":[116],"The":[117],"systems":[119],"can":[120],"achieve":[121],"further":[122],"performance":[123],"gains":[124],"all":[126],"three":[127],"benchmarking":[128],"datasets.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
