{"id":"https://openalex.org/W2772629455","doi":"https://doi.org/10.1109/smc.2017.8123165","title":"A noisy sparse convolution neural network based on stacked auto-encoders","display_name":"A noisy sparse convolution neural network based on stacked auto-encoders","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772629455","doi":"https://doi.org/10.1109/smc.2017.8123165","mag":"2772629455"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8123165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5089576225","display_name":"Yulin Ding","orcid":"https://orcid.org/0000-0002-0539-1405"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yulin Ding","raw_affiliation_strings":["Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395673","display_name":"Xiaolong Zhang","orcid":"https://orcid.org/0000-0001-5615-2044"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhang","raw_affiliation_strings":["Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000177737","display_name":"Jinshan Tang","orcid":"https://orcid.org/0000-0001-7266-8534"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]},{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jinshan Tang","raw_affiliation_strings":["Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","School of Technology, Michigan Technological University, Houghton, MI, USA"],"affiliations":[{"raw_affiliation_string":"Intelligent Information Processing and Real-time Industrial Systems Hubei Province Key Laboratory, Wuhan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I43922553"]},{"raw_affiliation_string":"School of Technology, Michigan Technological University, Houghton, MI, USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089576225"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":1.2447,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85628031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3457","last_page":"3461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9986000061035156,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7780094146728516},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6906856298446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6822823286056519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6768596172332764},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6046218872070312},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6045491695404053},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5803432464599609},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5594576597213745},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.484294593334198},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4798718988895416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4792183041572571},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4341506063938141},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4177246689796448},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3217872977256775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09038671851158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7780094146728516},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6906856298446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6822823286056519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6768596172332764},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6046218872070312},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6045491695404053},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5803432464599609},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5594576597213745},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.484294593334198},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4798718988895416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4792183041572571},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4341506063938141},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4177246689796448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3217872977256775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09038671851158142},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/smc.2017.8123165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-30225","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/10923","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1904365287","https://openalex.org/W2025768430","https://openalex.org/W2072128103","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2145094598","https://openalex.org/W2480810295","https://openalex.org/W2540556213","https://openalex.org/W4231109964","https://openalex.org/W6640036494"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2909431601"],"abstract_inverted_index":{"Stacked":[0],"auto-encoder":[1],"is":[2,24,115],"mainly":[3],"used":[4],"for":[5,53],"image":[6,31,54],"classification":[7,55,101,109],"and":[8,19,94,122],"it":[9],"can":[10,49,85,95],"extract":[11,50],"valid":[12],"information":[13],"from":[14],"data":[15,98],"through":[16,56],"unsupervised":[17],"pre-training":[18,79],"supervised":[20],"fine-tuning.":[21],"This":[22],"paper":[23],"intended":[25],"to":[26,62,67,71,117],"improve":[27],"the":[28,64,78,82,87,90,107,112,118,123],"accuracy":[29],"of":[30,89,111,120],"classification,":[32],"we":[33,73],"constructed":[34,47,65],"a":[35,75],"6-layer":[36],"stacked":[37,44],"convolution":[38],"neural":[39],"network":[40],"(CNN)":[41],"based":[42],"on":[43],"auto-encoders.":[45,125],"The":[46],"CNN":[48,66,91],"effective":[51],"features":[52],"greedy":[57],"layer-wise":[58],"training.":[59],"In":[60],"order":[61],"make":[63,86],"have":[68],"strong":[69],"robustness":[70],"noise,":[72],"added":[74],"noisy-layer":[76],"in":[77],"stage.":[80],"Adding":[81],"sparsity":[83],"constraint":[84],"training":[88],"more":[92],"effective,":[93],"also":[96],"reduce":[97],"redundancy.":[99],"For":[100],"applications,":[102],"our":[103],"experiments":[104],"show":[105],"that":[106],"final":[108],"results":[110],"proposed":[113],"model":[114],"superior":[116],"combination":[119],"auto-encoders":[121],"noisy":[124]},"counts_by_year":[{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
