{"id":"https://openalex.org/W4220720783","doi":"https://doi.org/10.1117/12.2623139","title":"Auto-clustering pairs generation method for Siamese neural networks training","display_name":"Auto-clustering pairs generation method for Siamese neural networks training","publication_year":2022,"publication_date":"2022-03-05","ids":{"openalex":"https://openalex.org/W4220720783","doi":"https://doi.org/10.1117/12.2623139"},"language":"en","primary_location":{"id":"doi:10.1117/12.2623139","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","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/A5060152389","display_name":"Arseniy Mokin","orcid":"https://orcid.org/0009-0005-8044-0245"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Arseniy Mokin","raw_affiliation_strings":["Lomonosov Moscow State Univ. (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lomonosov Moscow State Univ. (Russian Federation)","institution_ids":["https://openalex.org/I19880235"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061735569","display_name":"Alexander Gayer","orcid":"https://orcid.org/0000-0001-6268-2279"},"institutions":[{"id":"https://openalex.org/I12003341","display_name":"National University of Science and Technology","ror":"https://ror.org/019vsm959","country_code":"RU","type":"education","lineage":["https://openalex.org/I12003341"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Gayer","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","National Univ. of Science and Technology MISIS (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"National Univ. of Science and Technology MISIS (Russian Federation)","institution_ids":["https://openalex.org/I12003341"]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070598827","display_name":"Alexander Sheshkus","orcid":"https://orcid.org/0000-0002-8970-8747"},"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"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Sheshkus","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","institution_ids":[]},{"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/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"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir Arlazarov","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","institution_ids":[]},{"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":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3046,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52393971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"11605","issue":null,"first_page":"30","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9847999811172485,"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/T10057","display_name":"Face and Expression Recognition","score":0.9847999811172485,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9842000007629395,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9758999943733215,"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":0.8234148025512695},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7723051309585571},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6208214163780212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6192507147789001},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.515779972076416},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5096478462219238},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5023829936981201},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49103617668151855},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47882750630378723},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4354853332042694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3754204511642456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07008987665176392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8234148025512695},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7723051309585571},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6208214163780212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6192507147789001},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.515779972076416},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5096478462219238},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5023829936981201},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49103617668151855},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47882750630378723},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4354853332042694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3754204511642456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07008987665176392},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2623139","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2623139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourteenth International Conference on Machine Vision (ICMV 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1984728030","https://openalex.org/W2001642682","https://openalex.org/W2021354639","https://openalex.org/W2022666897","https://openalex.org/W2157364932","https://openalex.org/W2597507805","https://openalex.org/W2753526458","https://openalex.org/W2801890973","https://openalex.org/W2922288583","https://openalex.org/W2963775347","https://openalex.org/W3003726108","https://openalex.org/W3119707951","https://openalex.org/W3120400118","https://openalex.org/W4234552385","https://openalex.org/W4246681310","https://openalex.org/W4301409532","https://openalex.org/W6639200214","https://openalex.org/W6680272447","https://openalex.org/W6700903540","https://openalex.org/W6730480800","https://openalex.org/W6735101323","https://openalex.org/W6755595242","https://openalex.org/W6763748419","https://openalex.org/W6772258510","https://openalex.org/W6785269020"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W4321487865","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W4313906399","https://openalex.org/W2090259340","https://openalex.org/W2083665254","https://openalex.org/W2811106690"],"abstract_inverted_index":{"In":[0],"this":[1,107],"work,":[2],"we":[3,109],"present":[4],"the":[5,19,32,51,67,72,81,88,98,111,115,138],"auto-clustering":[6,122],"method":[7,65,108],"which":[8,75],"can":[9],"be":[10],"used":[11],"for":[12],"pattern":[13],"recognition":[14],"tasks":[15],"and":[16,101,119],"applied":[17],"to":[18,53,57,62,136],"training":[20,73,99],"of":[21,37,44,48,69,84,90],"a":[22,41,77],"metric":[23],"convolutional":[24],"neural":[25],"network.":[26],"The":[27,46,92],"main":[28],"idea":[29],"is":[30,76,102],"that":[31,59],"algorithm":[33,93],"creates":[34],"clusters":[35,49],"consisting":[36],"classes":[38,58],"similar":[39],"from":[40],"network\u2019s":[42],"point":[43],"view.":[45],"usage":[47],"allows":[50],"network":[52],"pay":[54],"more":[55],"attention":[56],"are":[60],"hard":[61],"differ.":[63],"This":[64],"improves":[66],"generation":[68,83],"pairs":[70],"during":[71],"process,":[74],"current":[78],"problem":[79],"because":[80],"optimal":[82],"data":[85],"significantly":[86],"affects":[87],"quality":[89],"training.":[91],"works":[94],"in":[95],"parallel":[96],"with":[97,114,123],"process":[100],"fully":[103],"automatic.":[104],"To":[105],"evaluate":[106,137],"chose":[110],"Korean":[112],"alphabet":[113],"corresponding":[116],"PHD08":[117],"dataset":[118],"compared":[120],"our":[121],"random-mining,":[124],"hard-mining,":[125],"distance-based":[126],"mining.":[127],"Opensource":[128],"framework":[129],"Tesseract":[130],"OCR":[131],"4.0.0":[132],"was":[133],"also":[134],"considered":[135],"baseline.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}