{"id":"https://openalex.org/W2922236450","doi":"https://doi.org/10.1117/12.2522970","title":"Experimental modeling the flow of character recognition results in video stream for document recognition","display_name":"Experimental modeling the flow of character recognition results in video stream for document recognition","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2922236450","doi":"https://doi.org/10.1117/12.2522970","mag":"2922236450"},"language":"en","primary_location":{"id":"doi:10.1117/12.2522970","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","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/A5109519401","display_name":"\u0415 \u0418 \u0410\u043d\u0434\u0440\u0435\u0435\u0432\u0430","orcid":null},"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":true,"raw_author_name":"Elena Andreeva","raw_affiliation_strings":["Moscow Institute of Physics and Technology (Russian Federation)","Smart Engines Ltd. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Moscow Institute of Physics and Technology (Russian Federation)","institution_ids":["https://openalex.org/I153845743"]},{"raw_affiliation_string":"Smart Engines Ltd. (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/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir V. Arlazarov","raw_affiliation_strings":["Institute for Systems Analysis (Russian Federation)","Smart Engines Ltd. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis (Russian Federation)","institution_ids":["https://openalex.org/I4210115688"]},{"raw_affiliation_string":"Smart Engines Ltd. (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061538582","display_name":"Oleg Slavin","orcid":"https://orcid.org/0000-0002-9541-469X"},"institutions":[{"id":"https://openalex.org/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Slavin","raw_affiliation_strings":["Institute for Systems Analysis (Russian Federation)","Smart Engines Ltd. (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis (Russian Federation)","institution_ids":["https://openalex.org/I4210115688"]},{"raw_affiliation_string":"Smart Engines Ltd. (Russian Federation)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035348572","display_name":"Igor Janiszewski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115688","display_name":"Institute for Systems Analysis","ror":"https://ror.org/02kmet255","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210115688"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Igor Janiszewski","raw_affiliation_strings":["Institute for Systems Analysis  (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Institute for Systems Analysis  (Russian Federation)","institution_ids":["https://openalex.org/I4210115688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109519401"],"corresponding_institution_ids":["https://openalex.org/I153845743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02227131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"65","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9284999966621399,"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/akaike-information-criterion","display_name":"Akaike information criterion","score":0.9247629642486572},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7429388761520386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.672052800655365},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6364841461181641},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.6249471306800842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5221617221832275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49154290556907654},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4821876585483551},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4389662742614746},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.42722588777542114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35294869542121887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26903629302978516},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2615150809288025}],"concepts":[{"id":"https://openalex.org/C126674687","wikidata":"https://www.wikidata.org/wiki/Q1662573","display_name":"Akaike information criterion","level":2,"score":0.9247629642486572},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7429388761520386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.672052800655365},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6364841461181641},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6249471306800842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5221617221832275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49154290556907654},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4821876585483551},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4389662742614746},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42722588777542114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35294869542121887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26903629302978516},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2615150809288025},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2522970","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2522970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Eleventh International Conference on Machine Vision (ICMV 2018)","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":5,"referenced_works":["https://openalex.org/W1595833328","https://openalex.org/W1983249544","https://openalex.org/W2062335898","https://openalex.org/W2399352303","https://openalex.org/W2801890973"],"related_works":["https://openalex.org/W1987464952","https://openalex.org/W2735932032","https://openalex.org/W1673329429","https://openalex.org/W2028169157","https://openalex.org/W2172884470","https://openalex.org/W2030252680","https://openalex.org/W2188061941","https://openalex.org/W2148077962","https://openalex.org/W4253044522","https://openalex.org/W1980950130"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"problems":[3],"regarding":[4],"the":[5,12,30,36,40,69,72,77],"development":[6],"of":[7,14,35,48,68,71],"stochastic":[8],"models":[9],"consistent":[10],"with":[11],"results":[13],"character":[15],"image":[16],"recognition":[17],"in":[18],"video":[19],"stream.":[20],"Assumptions":[21],"about":[22],"their":[23],"structure":[24],"and":[25,43],"properties":[26],"are":[27,51],"formulated":[28],"for":[29],"constructed":[31],"models.":[32,65],"The":[33,46,57,66],"description":[34],"model":[37],"components":[38],"defines":[39],"Dirichlet":[41],"distribution":[42],"its":[44],"generalizations.":[45],"parameters":[47],"these":[49],"distributions":[50,75],"determined":[52],"using":[53],"statistical":[54],"estimation":[55],"methods.":[56],"Akaike":[58],"information":[59],"criterion":[60],"is":[61,80],"used":[62],"to":[63,76],"rank":[64],"verification":[67],"agreement":[70],"proposed":[73],"theoretical":[74],"sample":[78],"data":[79],"carried":[81],"out.":[82]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}