{"created":"2023-05-15T16:44:38.277694+00:00","id":20367,"links":{},"metadata":{"_buckets":{"deposit":"8c5f98b1-1e0d-4eff-aaeb-c5de8a8964cc"},"_deposit":{"created_by":2,"id":"20367","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"20367"},"status":"published"},"_oai":{"id":"oai:nagasaki-u.repo.nii.ac.jp:00020367","sets":["14:65"]},"author_link":["86210","86209","86211"],"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2004","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"415","bibliographicPageStart":"412","bibliographicVolumeNumber":"4","bibliographic_titles":[{"bibliographic_title":"Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04)"}]}]},"item_9_description_15":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_9_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The typical nonparametric method of pattern recognition \"k-nearest neighbor rule (kNN)\" is carried out by counting the labels of k-nearest training samples to a test sample. This method collects the k-nearest neighbors without taking into account a class, and it outputs the class of the test sample by using only the labels of neighborhoods. This paper presents a classifier that outputs the class of a test sample by measuring the distance between the test sample and the average patterns, which are calculated using the k-nearest neighbors belonging to individual classes. A kernel method can be applied to this classifier for improving recognition rates. The performance of the proposed method is verified by experiments with benchmark data sets.","subitem_description_type":"Abstract"}]},"item_9_description_40":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"text","subitem_description_type":"Other"}]},"item_9_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"ICPR 2004, August 23-26, 2004, Cambridge, UK","subitem_description_type":"Other"}]},"item_9_description_63":{"attribute_name":"引用","attribute_value_mlt":[{"subitem_description":"17th International Conference on Pattern Recognition (ICPR'04) V.4 pp. 412-415 ; 2004","subitem_description_type":"Other"}]},"item_9_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE Computer Society Press"}]},"item_9_relation_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"BA68864606","subitem_relation_type_select":"NCID"}}]},"item_9_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.1109/ICPR.2004.1333790","subitem_relation_type_select":"DOI"}}]},"item_9_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright(c) 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."}]},"item_9_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hotta, Seiji"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kiyasu, Senya"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Miyahara, Sueharu"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-12-23"}],"displaytype":"detail","filename":"IEEE_CS212840412.pdf","filesize":[{"value":"224.8 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEEE_CS212840412.pdf","url":"https://nagasaki-u.repo.nii.ac.jp/record/20367/files/IEEE_CS212840412.pdf"},"version_id":"aebe27c4-a6be-425c-bb7c-55310d852407"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Pattern Recognition Using Average Patterns of Categorical k-Nearest Neighbors","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Pattern Recognition Using Average Patterns of Categorical k-Nearest Neighbors"}]},"item_type_id":"9","owner":"2","path":["65"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-04-08"},"publish_date":"2008-04-08","publish_status":"0","recid":"20367","relation_version_is_last":true,"title":["Pattern Recognition Using Average Patterns of Categorical k-Nearest Neighbors"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-16T02:38:52.493885+00:00"}