{"updated":"2025-01-21T14:57:40.701170+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00092495","sets":["1164:4619:6988:7193"]},"path":["7193"],"owner":"11","recid":"92495","title":["ディープボルツマンマシンを用いた線画の修復"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-05-23"},"_buckets":{"deposit":"27f6781c-a2e8-4b13-ab54-f63991a21dee"},"_deposit":{"id":"92495","pid":{"type":"depid","value":"92495","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ディープボルツマンマシンを用いた線画の修復","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディープボルツマンマシンを用いた線画の修復"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"卒論ショートアピール","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2013-05-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"情報処理学会"},{"subitem_text_value":"情報処理学会"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"IPSJ","subitem_text_language":"en"},{"subitem_text_value":"IPSJ","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/92495/files/IPSJ-CVIM13187030.pdf"},"date":[{"dateType":"Available","dateValue":"2015-05-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM13187030.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"df964b3c-7d0f-4e5a-808e-b1d613ecb3ee","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"白川悠太"},{"creatorName":"岡谷貴之"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ディープラーニングの方法は，画像認識の様々なベンチマークテストにおいてよい結果を残しているが，それらは主に畳込みニューラルネットワークを用いた教師あり学習によるものである．一方，画像を学習対象とした無教師学習，特に全結合型の多層ネットワークを用いたものは，必ずしもベンチマークテストで注目されるような結果は残していない．本論文では，ディープボルツマンマシンを用いた多層ネットワークの無教師学習により，線画の生成モデルを学習し線画の欠損修復を行う方法を述べる．その上で自由度を揃え単層のモデルと比較し，全結合型の多層ネットワークの有効性について比較実験を行う．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-05-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"30","bibliographicVolumeNumber":"2013-CVIM-187"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:41:22.983132+00:00","id":92495,"links":{}}