{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174340","sets":["1164:3616:8533:8892"]},"path":["8892"],"owner":"11","recid":"174340","title":["Scaled Tucker manifold and its application to large-scale machine learning"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-08-25"},"_buckets":{"deposit":"7c8694a9-baa7-4fd9-86c8-1196b4cb0845"},"_deposit":{"id":"174340","pid":{"type":"depid","value":"174340","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"Scaled Tucker manifold and its application to large-scale machine learning","author_link":["357378","357379","357377","357380"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Scaled Tucker manifold and its application to large-scale machine learning"},{"subitem_title":"Scaled Tucker manifold and its application to large-scale machine learning","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2016-08-25","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"The University of Electro-Communications"},{"subitem_text_value":"Amazon Development Centre India"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The University of Electro-Communications","subitem_text_language":"en"},{"subitem_text_value":"Amazon Development Centre India","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/174340/files/IPSJ-AVM16094008.pdf","label":"IPSJ-AVM16094008.pdf"},"date":[{"dateType":"Available","dateValue":"2018-08-25"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-AVM16094008.pdf","filesize":[{"value":"236.7 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":"27"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4dad9eb7-4ea0-474d-b3e6-98e6802cf289","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"笠井, 裕之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Bamdev, Mishra"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroyuki, Kasai","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Bamdev, Mishra","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10438399","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8582","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，低ランク・テンソル Tucker 分解のための新しい幾何空間 “Scaled Tucker Manifold” を提案する．一般的なテンソル回帰問題に対して，Scaled Tucker Manifold により，効率的な解法を確立することが可能となる．Scaled Tucker Manifol の導出にあたっては，Tucker 分解の対称構造と回帰問題の最小自乗構造に着目した新しいリーマン計量を提案し，幾何空間を定義する数々の構成要素を導出する．最後に，回帰問題の一形態である “テンソル補完問題” を例に取り挙げ，シミューレション実験から，Scaled Tucker Manifold に基づき導出した非線形共役勾配法アルゴリズムが，従来の最先端手法と比較してより良い性能を与えることを示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a novel geometry for dealing with low-rank Tucker decomposition of tensors. The geometry of the scaled Tucker manifold readily allows to develop algorithms for a number of regression problems. Specifically, we propose a novel scaled Riemannian metric (an inner product) that suits well to least-squares cost. The simulation experiments on the tensor completion problem show that our proposed nonlinear conjugate gradient algorithm outperforms state-of-the-art algorithms.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","bibliographic_titles":[{"bibliographic_title":"研究報告オーディオビジュアル複合情報処理（AVM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-08-25","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"2016-AVM-94"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"updated":"2025-01-20T06:54:26.663162+00:00","created":"2025-01-19T00:44:33.099198+00:00","id":174340}