Data for Similarity in filter properties related to similarity in filter output-connection patterns: analysis using convolutional neural networks

Data for "Similarity in filter properties related to similarity in filter output-connection patterns: analysis using convolutional neural networks"

Tamura, Hiroshi

アクセス数:228件（2025-09-17 18:58 集計）

固定URL: https://doi.org/10.60574/101348

ファイル	フォーマット	利用条件	サイズ	閲覧回数	利用開始日	説明	information
code	zip	なし	3.71 KB	6	2025.05.19
data	zip	なし	297 KB	6	2025.05.19

タイトル	Data for "Similarity in filter properties related to similarity in filter output-connection patterns: analysis using convolutional neural networks"
著者	NRID 1000080304038 1000080304038 researchmap permalink read0191175 read0191175 Scopus Author ID 55458238900 55458238900 著者名 Tamura, Hiroshi
出版者	Tamura, Hiroshi
言語	英語
ハンドルURL	https://hdl.handle.net/11094/101348
DOI	https://doi.org/10.60574/101348
アクセス権	open access
権利情報	You may not use the data for commercial purposes. When you use this data in your work and publish it, you must give appropriate credit and publish the work under the same terms applied to this original data. If you modify or alter the data, indicate, in any manner, the process used.
カテゴリ	研究データ / 論文付属

資源タイプ	データセット
ローカル資源タイプ	データセット
DCMI資源タイプ	データセット
作成日	2025-05-19
DC.title	Data for "Similarity in filter properties related to similarity in filter output-connection patterns: analysis using convolutional neural networks"
DC.creator	Tamura, Hiroshi
DC.publisher	Tamura, Hiroshi
DC.language' scheme='DCTERMS.RFC1766	英語
DC.type' scheme='DCTERMS.DCMIType	データセット
DC.rights	You may not use the data for commercial purposes. When you use this data in your work and publish it, you must give appropriate credit and publish the work under the same terms applied to this original data. If you modify or alter the data, indicate, in any manner, the process used.
DC.identifier	10.60574/101348
DC.format	101348
citation_title	Data for "Similarity in filter properties related to similarity in filter output-connection patterns: analysis using convolutional neural networks"
citation_author	Tamura, Hiroshi
citation_publisher	Tamura, Hiroshi
citation_language	英語
citation_public_url	https://hdl.handle.net/11094/101348
citation_doi_detail	10.60574/101348
citation_doi	https://doi.org/10.60574/101348