{"created":"2025-01-19T01:29:38.971326+00:00","updated":"2025-01-19T11:17:35.564312+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230094","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230094","title":["異種の特徴量フィルタを用いた「かわいい」画像の分類方式"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"c57985a7-ca46-4a3d-8461-3e61850c0fe6"},"_deposit":{"id":"230094","pid":{"type":"depid","value":"230094","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"異種の特徴量フィルタを用いた「かわいい」画像の分類方式","author_link":["619034","619032","619033"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"異種の特徴量フィルタを用いた「かわいい」画像の分類方式"}]},"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":"2023-02-16","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":"神奈川大"},{"subitem_text_value":"神奈川大"},{"subitem_text_value":"神奈川大"}]},"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/230094/files/IPSJ-Z85-2U-07.pdf","label":"IPSJ-Z85-2U-07.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2U-07.pdf","filesize":[{"value":"439.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"a738c614-890d-49c2-8188-381aec8a7dbf","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"古宮, 大暉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"古渡, 翔太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"秋吉, 政徳"}],"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":"情報処理の分野において、明確な指標がなく曖昧な言葉で表現される「かわいい」画像の分類は、従来のCNNなどを用いた画像分類方式では不十分である。本研究では、定量的に表現できない「かわいい」画像に対して、画像が持つ色や形などの潜在的な特徴を、特徴量フィルタを用いて抽出することで定量的に表現し、抽出した特徴量を用いた分類を行う。分類には、NNやRandom Forestsなど複数の機械学習分類器を用いる。各機械学習器の特性と分類精度の比較から、「かわいい」画像に適した分類方式を提案する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"608","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"607","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230094,"links":{}}