{"id":"https://openalex.org/W3120400118","doi":"https://doi.org/10.1117/12.2587175","title":"Distance-based online pairs generation method for metric networks training","display_name":"Distance-based online pairs generation method for metric networks training","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3120400118","doi":"https://doi.org/10.1117/12.2587175","mag":"3120400118"},"language":"en","primary_location":{"id":"doi:10.1117/12.2587175","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","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/A5097843952","display_name":"Ivan Kondrashev","orcid":null},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Ivan Kondrashev","raw_affiliation_strings":["Bauman Moscow State Technical Univ. (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical Univ. (Russian Federation)","institution_ids":["https://openalex.org/I177537411"]},{"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\" of RAS (Russian Federation)","Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" of RAS (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 V. Arlazarov","raw_affiliation_strings":["Federal Research Ctr. \"Computer Science and Control\" of RAS (Russian Federation)","Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Service LLC (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" of RAS (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":3,"corresponding_author_ids":["https://openalex.org/A5097843952"],"corresponding_institution_ids":["https://openalex.org/I177537411"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52637255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8529000282287598,"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":0.8529000282287598,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.8090999722480774,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.7620999813079834,"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/computer-science","display_name":"Computer science","score":0.7432087659835815},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7405336499214172},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6201897263526917},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.542492151260376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5310820937156677},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.527778148651123},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.511644184589386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4583101272583008},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45249977707862854},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4144139289855957},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4124666154384613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41143184900283813},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3486815392971039},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3374975323677063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32315605878829956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14226049184799194}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432087659835815},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7405336499214172},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6201897263526917},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.542492151260376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5310820937156677},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.527778148651123},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.511644184589386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4583101272583008},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45249977707862854},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4144139289855957},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4124666154384613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41143184900283813},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3486815392971039},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3374975323677063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32315605878829956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14226049184799194},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2587175","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2587175","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Thirteenth International Conference on Machine Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2393609567","https://openalex.org/W2369369044","https://openalex.org/W1503216044","https://openalex.org/W2354143083","https://openalex.org/W2372906645","https://openalex.org/W4319998713","https://openalex.org/W230091440","https://openalex.org/W2366269494","https://openalex.org/W4297851895","https://openalex.org/W2551249631"],"abstract_inverted_index":{"In":[0],"this":[1,141],"work,":[2],"we":[3,44,118,130],"consider":[4],"the":[5,11,38,41,55,67,75,86,102,105,113,124,144],"pairs":[6,47,92,100],"generation":[7,20,93,159],"algorithm":[8],"based":[9],"on":[10],"distances":[12],"between":[13],"elements":[14,62,127],"in":[15,50,66,110],"metric":[16,68],"space.":[17],"The":[18],"right":[19],"of":[21,40,104,126,146],"training":[22,49,114],"data":[23,87,135],"is":[24,95],"an":[25],"actual":[26],"issue,":[27],"and":[28,70,88,129,150],"its":[29],"solution":[30],"leads":[31],"to":[32,61,83,122],"better":[33],"neural":[34],"network":[35,56,106],"learning.":[36],"Understanding":[37],"properties":[39,80,125],"source":[42],"data,":[43],"can":[45,131],"select":[46],"for":[48],"such":[51],"a":[52,89],"way":[53],"that":[54,63],"will":[57],"pay":[58],"more":[59,90],"attention":[60],"are":[64,81],"close":[65],"space":[69],"have":[71],"different":[72],"classes.":[73],"However,":[74],"problem":[76],"arises":[77],"when":[78],"these":[79],"difficult":[82],"extract":[84],"from":[85,107],"universal":[91],"method":[94,98],"needed.":[96],"Our":[97],"generates":[99],"using":[101,143],"results":[103],"previous":[108],"iterations,":[109],"parallel":[111],"with":[112,154],"process":[115],"itself.":[116],"Thus,":[117],"do":[119],"not":[120],"need":[121],"evaluate":[123],"ourselves,":[128],"use":[132],"absolutely":[133],"any":[134],"as":[136],"learning":[137],"objects.":[138],"We":[139],"demonstrate":[140],"approach":[142],"example":[145],"Korean":[147],"character":[148],"recognition,":[149],"also":[151],"compare":[152],"it":[153],"other":[155],"commonly":[156],"used":[157],"pair":[158],"methods.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
