{"id":33540,"updated":"2025-01-22T15:38:50.908233+00:00","links":{},"created":"2025-01-18T23:02:21.306883+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00033540","sets":["1164:2735:2784:2786"]},"path":["2786"],"owner":"1","recid":"33540","title":["競争型仮想細胞群モデルを応用した特徴ベクトル抽出手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2000-09-21"},"_buckets":{"deposit":"69d228e8-f8fb-40b4-92dc-e2a3d9b3ff99"},"_deposit":{"id":"33540","pid":{"type":"depid","value":"33540","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"競争型仮想細胞群モデルを応用した特徴ベクトル抽出手法の提案","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"競争型仮想細胞群モデルを応用した特徴ベクトル抽出手法の提案"},{"subitem_title":"A Study on Extraction of Feature Vectors by Competitive Artificial Cell Model","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2000-09-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北海道大学大学院工学研究科"},{"subitem_text_value":"北海道大学大学院工学研究科"},{"subitem_text_value":"生命工学工業技術研究所"},{"subitem_text_value":"北海道大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Engineering, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Hokkaido University","subitem_text_language":"en"},{"subitem_text_value":"National Institute of Bioscience and Human Technology","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Engineering, Hokkaido 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/33540/files/IPSJ-MPS00031008.pdf"},"date":[{"dateType":"Available","dateValue":"2002-09-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS00031008.pdf","filesize":[{"value":"532.7 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a7475137-eb30-448c-b878-13da0138d421","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2000 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐藤裕一"},{"creatorName":"横井, 浩史"},{"creatorName":"水野, 敬文"},{"creatorName":"嘉数, 侑昇"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuichi, Sato","creatorNameLang":"en"},{"creatorName":"Hiroshi, Yokoi","creatorNameLang":"en"},{"creatorName":"Takafumi, Mizuno","creatorNameLang":"en"},{"creatorName":"Yukinori, Kakazu","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_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"この論文では，細胞群をモデル化したArtificial Cell (AC)とよぶ競争型進化システムを用いて，画像特徴ベクトルを自動的に抽出するAC法を提案する．Artificial Cell (AC)は生物細胞の代謝・成長・分裂と，それによる生存競争をモデル化したものであり，画像の画素値及びテクスチャを生存環境とし，各細胞固有の遺伝情報に基づいて，生存環境である画像情報から細胞成長・分裂に必要な仮想的なエネルギーを獲得する．ACは，画像特徴ベクトルに対する適応性の差と，それに伴うAC間の生存競争により，画像特徴ベクトルの抽出を自動的に行う．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper presents the method for acquiring features vectors of images automatically by means of competitive evolutionary system that is called Artificial Cell (AC). AC simulates the metabolism of a biological cell by treating pixel values or texture of images as an environment. Each AC contains unique image feature to obtain energy from target image and this feature is encoded as genetic information. The adapablility of ACs to the image feature and competition among ACs enables automatic extration of the image features. This technique is applied to extraction of image features vectors from gray scale test image.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"32","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"29","bibliographicIssueDates":{"bibliographicIssueDate":"2000-09-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"85(2000-MPS-031)","bibliographicVolumeNumber":"2000"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}