{"id":"https://openalex.org/W2990529003","doi":"https://doi.org/10.1117/12.2559457","title":"Training the convolutional neural network with statistical dependence of the response on the input data distortion","display_name":"Training the convolutional neural network with statistical dependence of the response on the input data distortion","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W2990529003","doi":"https://doi.org/10.1117/12.2559457","mag":"2990529003"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559457","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1912.00664","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035348572","display_name":"Igor Janiszewski","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Igor Janiszewski","raw_affiliation_strings":["Federal Research Ctr. Computer Science and Control (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. Computer Science and Control (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019711919","display_name":"Vladimir V. Arlazarov","orcid":"https://orcid.org/0000-0003-3260-9104"},"institutions":[{"id":"https://openalex.org/I153845743","display_name":"Moscow Institute of Physics and Technology","ror":"https://ror.org/00v0z9322","country_code":"RU","type":"education","lineage":["https://openalex.org/I153845743"]},{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir V. Arlazarov","raw_affiliation_strings":["Institute for Information Transmission Problems (Kharkevich Institute) (Russian Federation)","Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Information Transmission Problems (Kharkevich Institute) (Russian Federation)","institution_ids":["https://openalex.org/I4210107660"]},{"raw_affiliation_string":"Moscow Institute of Physics and Technology (Russian Federation)","institution_ids":["https://openalex.org/I153845743"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001765837","display_name":"Dmitry Slugin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dmitry Slugin","raw_affiliation_strings":["Federal Research Ctr. Computer Science and Control (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. Computer Science and Control (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035348572"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1538609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9749000072479248,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9711999893188477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.9543884992599487},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.784092128276825},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7287991642951965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6431785225868225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5286477208137512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5131812691688538},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.504845917224884},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.4725354015827179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4718356728553772},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45498836040496826},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.45251065492630005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44349050521850586},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4276791512966156},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41164273023605347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3886563181877136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38849499821662903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3767946660518646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19463330507278442},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.15753966569900513},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.14216569066047668},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07098126411437988}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9543884992599487},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.784092128276825},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7287991642951965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6431785225868225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286477208137512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5131812691688538},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.504845917224884},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.4725354015827179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4718356728553772},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45498836040496826},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.45251065492630005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44349050521850586},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4276791512966156},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41164273023605347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3886563181877136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38849499821662903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3767946660518646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19463330507278442},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.15753966569900513},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.14216569066047668},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07098126411437988},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1117/12.2559457","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1912.00664","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.00664","pdf_url":"https://arxiv.org/pdf/1912.00664","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2990529003","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1912.00664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1912.00664","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1912.00664","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1912.00664","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1912.00664","pdf_url":"https://arxiv.org/pdf/1912.00664","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2990529003.pdf"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W888959974","https://openalex.org/W1597405158","https://openalex.org/W1762161369","https://openalex.org/W2023345279","https://openalex.org/W2112796928","https://openalex.org/W2775795276","https://openalex.org/W2801890973","https://openalex.org/W2802041096","https://openalex.org/W2922288583"],"related_works":["https://openalex.org/W3003839743","https://openalex.org/W3018718907","https://openalex.org/W2027403964","https://openalex.org/W1965369676","https://openalex.org/W3131447395","https://openalex.org/W3029063073","https://openalex.org/W3133571970","https://openalex.org/W2913821395","https://openalex.org/W2976426989","https://openalex.org/W2598069901","https://openalex.org/W3000291594","https://openalex.org/W3176818917","https://openalex.org/W2890619223","https://openalex.org/W1964753218","https://openalex.org/W2186624232","https://openalex.org/W2106224199","https://openalex.org/W3028061992","https://openalex.org/W3035136443","https://openalex.org/W2513956765","https://openalex.org/W1975223937"],"abstract_inverted_index":{"The":[0,21,105],"paper":[1],"proposes":[2],"an":[3,27,45],"approach":[4,75,102],"to":[5,103],"training":[6,52],"a":[7,60,67,86,120,123],"convolutional":[8],"neural":[9],"network":[10,40,50,83],"using":[11],"information":[12],"on":[13,55,92,110],"the":[14,35,38,47,56,82,93,100,111],"level":[15,69,112],"of":[16,18,37,70,81,113,122],"distortion":[17,61,71],"input":[19,114],"data.":[20],"learning":[22],"process":[23],"is":[24,31,72,97,119],"modified":[25],"with":[26,51,66],"additional":[28],"layer,":[29],"which":[30,96],"subsequently":[32],"deleted,":[33],"so":[34],"architecture":[36,49],"original":[39],"does":[41,76],"not":[42,77],"change.":[43],"As":[44],"example,":[46],"LeNet5":[48],"data":[53,95],"based":[54],"MNIST":[57],"symbols":[58],"and":[59,84,117],"model":[62],"as":[63],"Gaussian":[64],"blur":[65],"variable":[68],"considered.":[73],"This":[74],"have":[78],"quality":[79],"loss":[80],"has":[85],"significant":[87],"error-free":[88],"zone":[89],"in":[90,99],"responses":[91,106],"test":[94],"absent":[98],"traditional":[101],"training.":[104],"are":[107],"statistically":[108],"dependent":[109],"image\u2019s":[115],"distortions":[116],"there":[118],"presence":[121],"strong":[124],"relationship":[125],"between":[126],"them.":[127]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
