{"id":"https://openalex.org/W3106618154","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258174","title":"Training Data Generation for AI Based on Parametric Eigenspace Method","display_name":"Training Data Generation for AI Based on Parametric Eigenspace Method","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3106618154","doi":"https://doi.org/10.1109/icce-taiwan49838.2020.9258174","mag":"3106618154"},"language":"en","primary_location":{"id":"doi:10.1109/icce-taiwan49838.2020.9258174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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/A5050422001","display_name":"Hiroyuki Toyokura","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroyuki Toyokura","raw_affiliation_strings":["Shonan Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology","institution_ids":["https://openalex.org/I197425175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070862348","display_name":"Yasuyuki Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I197425175","display_name":"Shonan Institute of Technology","ror":"https://ror.org/01bawqf59","country_code":"JP","type":"education","lineage":["https://openalex.org/I197425175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuyuki Miura","raw_affiliation_strings":["Shonan Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Shonan Institute of Technology","institution_ids":["https://openalex.org/I197425175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050422001"],"corresponding_institution_ids":["https://openalex.org/I197425175"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.41858238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9983999729156494,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9983999729156494,"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":0.996999979019165,"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/T10057","display_name":"Face and Expression Recognition","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":0.7452607750892639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303123474121094},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.7245161533355713},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.6398400068283081},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.6386330127716064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.588646650314331},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5545470118522644},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5386639833450317},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.42974767088890076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3354012370109558},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13445240259170532},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08596596121788025}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7452607750892639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303123474121094},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.7245161533355713},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.6398400068283081},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.6386330127716064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.588646650314331},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5545470118522644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5386639833450317},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.42974767088890076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3354012370109558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13445240259170532},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08596596121788025},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-taiwan49838.2020.9258174","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-taiwan49838.2020.9258174","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","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":3,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2123977795","https://openalex.org/W2324385451"],"related_works":["https://openalex.org/W4385774772","https://openalex.org/W2130553454","https://openalex.org/W3022007134","https://openalex.org/W4317548404","https://openalex.org/W3104108945","https://openalex.org/W2033364610","https://openalex.org/W3163689946","https://openalex.org/W2797776314","https://openalex.org/W2153927146","https://openalex.org/W2091066410"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"method":[6,18],"for":[7,19],"automatic":[8],"labeling":[9,45],"of":[10,30,44,61],"captured":[11],"video":[12],"images":[13],"by":[14,46],"using":[15],"parametric":[16],"eigenspace":[17],"AI":[20],"learning":[21],"data.":[22],"The":[23,52],"experimental":[24,53],"results":[25,54],"showed":[26,55],"that":[27],"about":[28],"70%":[29],"the":[31,42,48,59],"categorized":[32],"data":[33],"was":[34],"labeled":[35],"correctly.":[36],"We":[37],"also":[38],"tried":[39],"to":[40],"improve":[41],"accuracy":[43,60],"extracting":[47],"moving":[49],"object":[50],"regions.":[51],"slight":[56],"improvement":[57],"in":[58],"labeling.":[62]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}