{"created":"2023-07-25T10:24:29.976438+00:00","id":1818,"links":{},"metadata":{"_buckets":{"deposit":"86586e18-f2cf-43c6-a86d-efd31382bd40"},"_deposit":{"created_by":1,"id":"1818","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"1818"},"status":"published"},"_oai":{"id":"oai:hiroshima-cu.repo.nii.ac.jp:00001818","sets":["1:211"]},"author_link":["7538","7537","7540","7541","7539","7542","7536","7543"],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2015-04-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"937","bibliographicPageStart":"930","bibliographicVolumeNumber":"E98-D","bibliographic_titles":[{"bibliographic_title":"IEICE Transactions on Information and Systems"}]}]},"item_10001_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In image segmentation, finite mixture modeling has been widely used. In its simplest form, the spatial correlation among neighboring pixels is not taken into account, and its segmentation results can be largely deteriorated by noise in images. We propose a spatially correlated mixture model in which the mixing proportions of finite mixture models are governed by a set of underlying functions defined on the image space. The spatial correlation among pixels is introduced by putting a Gaussian process prior on the underlying functions. We can set the spatial correlation rather directly and flexibly by choosing the covariance function of the Gaussian process prior. The effectiveness of our model is demonstrated by experiments with synthetic and real images.","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会"}]},"item_10001_relation_12":{"attribute_name":"論文ID（NAID）","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"130005061856","subitem_relation_type_select":"NAID"}}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/https://doi.org/10.1587/transinf.2014EDP7307","subitem_relation_type_select":"DOI"}}]},"item_10001_relation_17":{"attribute_name":"関連サイト","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"http://www.ieice.org/jpn/trans_online/index.html"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.ieice.org/jpn/trans_online/index.html","subitem_relation_type_select":"URI"}}]},"item_10001_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2015 The Institute of Electronics, Information and Communication Engineers"}]},"item_10001_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA10826272|AA11226532","subitem_source_identifier_type":"NCID"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168532","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"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":"KURISU, Kosei"},{"creatorName":"クリス, コウセイ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"7536","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"SUEMATSU, Nobuo"},{"creatorName":"スエマツ, ノブオ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"7537","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"IWATA, Kazunori"},{"creatorName":"イワタ, カズノリ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"7538","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"HAYASHI, Akira"},{"creatorName":"ハヤシ, アキラ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"7539","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"栗栖, 昂勢","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7540","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"末松, 伸朗","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7541","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"岩田, 一貴","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7542","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"林, 朗","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"7543","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":"2023-03-07"}],"displaytype":"detail","filename":"e98-d_4_930.pdf","filesize":[{"value":"946.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"e98-d_4_930.pdf","url":"https://hiroshima-cu.repo.nii.ac.jp/record/1818/files/e98-d_4_930.pdf"},"version_id":"2e7cf162-55de-4d56-baad-154bcabedcda"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"image segmentation","subitem_subject_scheme":"Other"},{"subitem_subject":"Gaussian processes","subitem_subject_scheme":"Other"},{"subitem_subject":"mixture models","subitem_subject_scheme":"Other"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"A Spatially Correlated Mixture Model for Image Segmentation","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A Spatially Correlated Mixture Model for Image Segmentation"}]},"item_type_id":"10001","owner":"1","path":["211"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-07"},"publish_date":"2023-03-07","publish_status":"0","recid":"1818","relation_version_is_last":true,"title":["A Spatially Correlated Mixture Model for Image Segmentation"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-07-25T10:42:51.038673+00:00"}