{"created":"2023-05-15T11:59:39.207144+00:00","id":6177,"links":{},"metadata":{"_buckets":{"deposit":"9f312392-ac9a-4975-ae23-d5c8328ddbd3"},"_deposit":{"created_by":3,"id":"6177","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6177"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006177","sets":["15:20"]},"author_link":["25389","399"],"control_number":"6177","item_23_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2018-09-11","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","bibliographic_titleLang":"en"}]}]},"item_23_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we propose a FTOP (Feature Transform Optimization Problem) and its solution. We propose a method to optimize both parameters and processing order of feature transform simultaneously, not limited to convolution and pooling included in CNN (Convolutional Neural Network). In order to realize the optimization, we formulate it as a combinatorial optimization problem and solve it by meta-heuristics. The effectiveness of the proposed method is shown by applying the proposed method to pedestrian classification based on a benchmark data set.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_23_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"SICE Annual Conference 2018 (SICE 2018), September 11–14, 2018, Nara, Japan","subitem_description_type":"Other"}]},"item_23_link_61":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/35_ja.html"}]},"item_23_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_23_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.23919/SICE.2018.8492633","subitem_relation_type_select":"DOI"}}]},"item_23_relation_9":{"attribute_name":"ISBN","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-4-907764-60-9","subitem_relation_type_select":"ISBN"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"978-1-5386-6644-9","subitem_relation_type_select":"ISBN"}}]},"item_23_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_23_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_23_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10328694"}]},"item_23_text_62":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"7885"}]},"item_23_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Nakashima, Yuuki","creatorNameLang":"en"},{"creatorName":"中島, 祐樹","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNames":[{"affiliationNameLang":"ja"}]}],"creatorAlternatives":[{},{},{}],"creatorNames":[{"creatorName":"Tan, Joo kooi","creatorNameLang":"en"},{"creatorName":"タン, ジュークイ","creatorNameLang":"ja"}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2019-09-12"}],"displaytype":"detail","filename":"10328694.pdf","filesize":[{"value":"432.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"10328694.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6177/files/10328694.pdf"},"version_id":"db384acc-ea5e-42b8-b8fe-5beb5cd953f6"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Image classification","subitem_subject_scheme":"Other"},{"subitem_subject":"feature transform","subitem_subject_scheme":"Other"},{"subitem_subject":"combinatorial optimization","subitem_subject_scheme":"Other"},{"subitem_subject":"meta-heuristics","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":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Feature Transform Optimization for Pedestrian Classification","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Feature Transform Optimization for Pedestrian Classification","subitem_title_language":"en"}]},"item_type_id":"23","owner":"3","path":["20"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2019-09-12"},"publish_date":"2019-09-12","publish_status":"0","recid":"6177","relation_version_is_last":true,"title":["Feature Transform Optimization for Pedestrian Classification"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2024-02-28T05:13:04.542023+00:00"}