{"id":196870,"created":"2025-01-19T01:01:22.136768+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00196870","sets":["6504:9795:9801"]},"path":["9801"],"owner":"6748","recid":"196870","title":["神経力学モデルを用いた部分描画系列からの描画図形予測"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-02-28"},"_buckets":{"deposit":"55b7cb42-310c-4371-84e1-465a28df6a55"},"_deposit":{"id":"196870","pid":{"type":"depid","value":"196870","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"神経力学モデルを用いた部分描画系列からの描画図形予測","author_link":["471729","471728","471731","471730"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"神経力学モデルを用いた部分描画系列からの描画図形予測"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2019-02-28","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"徳島大"},{"subitem_text_value":"徳島大"},{"subitem_text_value":"徳島大"},{"subitem_text_value":"徳島大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/196870/files/IPSJ-Z81-5S-02.pdf","label":"IPSJ-Z81-5S-02.pdf"},"date":[{"dateType":"Available","dateValue":"2019-05-28"}],"format":"application/pdf","filename":"IPSJ-Z81-5S-02.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"fb94b507-c3e1-472e-8f9c-b0e0b3c87cc2","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"森, 美咲"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西出, 俊"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"康, シン"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"任, 福継"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では神経力学モデルであるMTRNNによる図形描画系列の学習とその予測性能を用いた描画図形予測を行う．本稿では特に，部分描画系列から描画系列全体を予測・生成することに注目する．学習データ系列は，液晶タブレット上で様々な図形を描画した際に取得したペン先座標系列を用いる．学習したモデルを用い，任意の図形の部分描画系列を認識し，認識結果をモデルに入力することで描画系列全体を生成する．本実験では図形として一筆書き可能なダイヤ,リボン,魚型など複数の図形を描画対象とした．各図形の部分描画系列をモデルに入力することで、図形全体が生成できることを確認した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"286","bibliographic_titles":[{"bibliographic_title":"第81回全国大会講演論文集"}],"bibliographicPageStart":"285","bibliographicIssueDates":{"bibliographicIssueDate":"2019-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2019"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"updated":"2025-01-19T22:32:25.122791+00:00","links":{}}