{"created":"2021-03-01T06:15:14.913956+00:00","id":8532,"links":{},"metadata":{"_buckets":{"deposit":"0248dbad-a9ff-438e-9219-6d10e096415b"},"_deposit":{"id":"8532","owners":[],"pid":{"revision_id":0,"type":"depid","value":"8532"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:00008532","sets":["312:313:314"]},"author_link":["23956","23957"],"item_10_alternative_title_19":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Generative Learning for Image Recognition(<Special Section>Progress of Pattern Recognition and Machine Learning for Computer Vision)","subitem_alternative_title_language":"en"}]},"item_10_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2005","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"35‐42","bibliographicPageStart":"35‐42","bibliographicVolumeNumber":"46","bibliographic_titles":[{"bibliographic_title":"情報処理学会論文誌","bibliographic_titleLang":"ja"}]}]},"item_10_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"画像認識は, 入力パターンの多様な変動や変形を吸収し, モデルあるいは学習パターンと照合することにより実現できる.認識の前処理として用いられる入力パターンの正規化は, 変動や変形を吸収するための1つの手法である.一方, 変動や変形に対処するための別の手法として, 学習パターンを変動や変形により様々に生成し, これと入力パターンと照合する手法も考えられる.この学習パターンを生成する処理は, 認識の事前処理である学習段階に行うことが可能であり, 生成型の学習といってもよい.またこの手法は, 学習パターンを多数生成することが可能になるので, 収集できる学習パターン数が少ない場合に有効である.本論文では, 著者自身がこれまで行ってきた画像認識の研究例を用いて, 生成型学習の観点で体系的に整理してみた. ","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"This paper describes a generative learning method for image recognition. Generally, an input pattern is normalized in the preprocessing stage of a recognition system to cope with the deformation of the pattern. In contrast, our generative learning method synthesizes the learning patterns by image generation techniques such as adding noise, interpolation, generating function. This method can improve the recognition accuracy even if we have a small number of learning samples. This paper introduces several examples that authors applied in their recognition systems so far.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10_identifier_60":{"attribute_name":"URI","attribute_value_mlt":[{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/2237/10279"}]},"item_10_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"item_10_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"ここに掲載した著作物の利用に関する注意 本著作物の著作権は（社）情報処理学会に帰属します。本著作物は著作権者である情報処理学会の許可のもとに掲載するものです。ご利用に当たっては「著作権法」ならびに「情報処理学会倫理綱領」に従うことをお願いいたします。 ","subitem_rights_language":"ja"},{"subitem_rights":"Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Information Processing Society of Japan. Comments are welcome. Mail to address: 　editj<at>ipsj.or.jp, please.","subitem_rights_language":"en"}]},"item_10_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_10_text_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_text_value":"application/pdf"}]},"item_1615787544753":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"村瀬, 洋","creatorNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"23956","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"MURASE, HIROSHI","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"23957","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-02-19"}],"displaytype":"detail","filename":"46-s15.pdf","filesize":[{"value":"717.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"46-s15.pdf","objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/8532/files/46-s15.pdf"},"version_id":"771d9296-cd29-4e7e-8116-37c8e1536868"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"画像認識のための生成型学習(<特集>CVにおけるパターン認識・学習理論の新展開)","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"画像認識のための生成型学習(<特集>CVにおけるパターン認識・学習理論の新展開)","subitem_title_language":"ja"}]},"item_type_id":"10","owner":"1","path":["314"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2008-07-24"},"publish_date":"2008-07-24","publish_status":"0","recid":"8532","relation_version_is_last":true,"title":["画像認識のための生成型学習(<特集>CVにおけるパターン認識・学習理論の新展開)"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-01-16T04:32:19.744984+00:00"}