{"id":"https://openalex.org/W3004403605","doi":"https://doi.org/10.1117/12.2559435","title":"Single-sample augmentation framework for training Viola-Jones classifiers","display_name":"Single-sample augmentation framework for training Viola-Jones classifiers","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3004403605","doi":"https://doi.org/10.1117/12.2559435","mag":"3004403605"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559435","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559435","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":"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/A5011205803","display_name":"Daniil Matalov","orcid":"https://orcid.org/0000-0002-1079-2414"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniil Matalov","raw_affiliation_strings":["Federal Research Ctr. \u201cComputer Science and Control\u201d (Russian Federation)","Smart Engines Service LLC (Russian Federation)","Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \u201cComputer Science and Control\u201d (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006759229","display_name":"Sergey A. Usilin","orcid":"https://orcid.org/0000-0001-6383-9696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sergey Usilin","raw_affiliation_strings":["Federal Research Ctr. \u201cComputer Science and Control\u201d (Russian Federation)","Smart Engines Service LLC (Russian Federation)","Federal Research Ctr. \"Computer Science and Control\" (Russian Federation)"],"affiliations":[{"raw_affiliation_string":"Federal Research Ctr. \u201cComputer Science and Control\u201d (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Smart Engines Service LLC (Russian Federation)","institution_ids":[]},{"raw_affiliation_string":"Federal Research Ctr. \"Computer Science and Control\" (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/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210097085","https://openalex.org/I4210107660"]},{"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":["Institute for Information Transmission Problems of the Russian Academy of Sciences (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 of the Russian Academy of Sciences (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":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011205803"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4885,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64221617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9991999864578247,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983000159263611,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.996399998664856,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7505661249160767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896188259124756},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6654778718948364},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5093456506729126},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48954519629478455},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48415571451187134},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45908796787261963},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.444091260433197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43870511651039124},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.420820415019989},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.411832332611084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3594890832901001},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15074431896209717}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7505661249160767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896188259124756},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6654778718948364},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5093456506729126},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48954519629478455},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48415571451187134},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45908796787261963},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.444091260433197},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43870511651039124},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.420820415019989},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.411832332611084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3594890832901001},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15074431896209717},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2559435","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559435","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"}],"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/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2043988397"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,18,23],"single-sample":[6],"augmentation":[7],"framework.":[8],"The":[9,34,57,82],"key":[10],"idea":[11],"of":[12,16,36,68],"the":[13,37,53,69],"framework":[14,39,84],"consists":[15],"synthesizing":[17],"positive":[19],"training":[20,89],"set":[21],"from":[22],"single":[24],"natural":[25],"sample":[26],"using":[27,49],"relevant":[28],"geometric":[29],"and":[30,73,79,98],"pixel":[31],"intensity":[32],"transforms.":[33],"efficiency":[35],"proposed":[38,83],"has":[40],"been":[41],"demonstrated":[42],"solving":[43,95],"round":[44],"seal":[45],"stamp":[46],"detection":[47],"problem":[48],"Viola-Jones":[50],"approach":[51],"on":[52],"public":[54],"\u201cSPODS\u201d":[55],"dataset.":[56],"mentioned":[58],"image":[59],"transformations":[60],"make":[61],"it":[62],"possible":[63],"to":[64,88],"simulate":[65],"different":[66],"orientation":[67],"stamps,":[70],"color":[71],"differences,":[72],"distortions":[74],"caused":[75],"by":[76],"stamping":[77],"process":[78],"document":[80],"aging.":[81],"can":[85],"be":[86],"applied":[87],"various":[90],"machine":[91],"learning":[92],"algorithms":[93],"for":[94],"computer":[96],"vision":[97],"computed":[99],"tomography":[100],"problems.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}