{"created":"2025-01-19T00:36:17.301842+00:00","updated":"2025-01-20T10:50:04.109202+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00164477","sets":["1164:2735:8608:8756"]},"path":["8756"],"owner":"11","recid":"164477","title":["遺伝的プログラミングを用いた階層的な特徴構築による画像分類"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-06-27"},"_buckets":{"deposit":"76eaf1c7-883e-437b-b285-2c71331cf61f"},"_deposit":{"id":"164477","pid":{"type":"depid","value":"164477","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"遺伝的プログラミングを用いた階層的な特徴構築による画像分類","author_link":["323992","323989","323990","323991","323988","323994","323993","323987"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"遺伝的プログラミングを用いた階層的な特徴構築による画像分類"},{"subitem_title":"Image Classification Based on Hierarchical Feature Construction Using Genetic Programming","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2016-06-27","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"横浜国立大学大学院環境情報学府/日本学術振興会特別研究員DC"},{"subitem_text_value":"横浜国立大学大学院環境情報学府"},{"subitem_text_value":"横浜国立大学大学院環境情報学府"},{"subitem_text_value":"横浜国立大学大学院環境情報学府"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University / JSPS Research Fellow","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Environment and Information Sciences, Yokohama National University","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/164477/files/IPSJ-MPS16108004.pdf","label":"IPSJ-MPS16108004.pdf"},"date":[{"dateType":"Available","dateValue":"2018-06-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS16108004.pdf","filesize":[{"value":"354.6 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Suganuma","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daiki, Tsuchiya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shinichi, Shirakawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomoharu, Nagao","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では,画像分類のための階層的な特徴構築手法を提案する.提案手法では入力画像に対して,(1) 既存の画像処理フィルタの組み合わせ,(2) 遺伝的プログラミングで構築したフィルタ,の 2 層の画像変換処理を行い,変換後の画像の各画素値を分類のための特徴量として扱う.1 層目の画像処理フィルタの組み合わせと 2 層目でのフィルタは遺伝的プログラミングを用いて段階的に構築する.本論文では,カプセル内視鏡から撮影された小腸画像における異常画像と正常画像の分類問題に提案手法を適用し,従来手法との比較と性能の検証を行う.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a hierarchical feature construction method for image classification. Our method has two feature construction stages: (1) feature construction by a combination of existing image processing filters, and (2) feature construction by evolved filters. The combination of image filters and evolved filters are constructed step-by-step using genetic programming. We verify the classification performance of the proposed method on the small bowel images taken from a capsule endoscope.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決(MPS)"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-06-27","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2016-MPS-108"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":164477,"links":{}}