{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236145","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236145","title":["視点依存性から着想を得た深層学習画像分類のためのデータ刈り込み戦略"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"bf4c0b78-a05e-4acb-8f0b-24c0b4a9781f"},"_deposit":{"id":"236145","pid":{"type":"depid","value":"236145","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"視点依存性から着想を得た深層学習画像分類のためのデータ刈り込み戦略","author_link":["645394","645393","645391","645392"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"視点依存性から着想を得た深層学習画像分類のためのデータ刈り込み戦略"}]},"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":"2024-03-01","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":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"京大"},{"subitem_text_value":"理研"}]},"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/236145/files/IPSJ-Z86-5T-06.pdf","label":"IPSJ-Z86-5T-06.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-5T-06.pdf","filesize":[{"value":"194.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"7b11b017-c189-4ec9-b5d4-38a5f21fca03","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"長野, 駿介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"熊田, 孝恒"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中島, 亮一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中原, 裕之"}],"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":"本研究論文は、深層学習の画像認識における、冗長な学習データを削除し効率的な学習を可能にするデータ刈り込み手法に焦点を当てる。人間のオブジェクト認知における視点依存性（オブジェクトを観察する視点によって、認識の容易さが変わること）を参考にして、3Dオブジェクトの2D投影面積、およびオブジェクトの持つパーツ数を用いた、データ刈り込み手法における新しいメトリックを提案する。これら2つのメトリックは、ランダムなデータ刈り込みと比較して、画像分類タスクにおいて高い精度を達成した。よって、人間のオブジェクト認知特性を活用したメトリックが、データ刈り込みにおいて有効であることを示唆している。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"618","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"617","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236145,"updated":"2025-01-19T09:22:27.641604+00:00","links":{},"created":"2025-01-19T01:38:02.225622+00:00"}