{"id":4478,"date":"2025-01-05T15:07:47","date_gmt":"2025-01-05T06:07:47","guid":{"rendered":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/?p=4478"},"modified":"2025-01-05T15:07:47","modified_gmt":"2025-01-05T06:07:47","slug":"tansacnet-pre-release20250105-%e5%85%ac%e9%96%8b","status":"publish","type":"post","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/4478","title":{"rendered":"TanSacNet Pre-release20250105 \u516c\u958b"},"content":{"rendered":"<p>\u63a5\u7a7a\u9593\u9069\u5fdc\u5236\u5fa1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u958b\u767a\u7528\u306b\u3001<a href=\"https:\/\/github.com\/msiplab\/TanSacNet\">TanSacNet\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u66f4\u65b0\u3057\u307e\u3057\u305f<\/a>\u3002<\/p>\n<ul>\n<li><b>\u65b0\u3057\u3044PyTorch\u5b9f\u88c5<\/b>\uff1aPyTorch\u30d9\u30fc\u30b9\u306e2-D LSUN\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u5c0e\u5165\u3057\u3001<code>orthonormalTransform.py<\/code>\u3067\u306e\u30d0\u30c3\u30c1\u51e6\u7406\u304a\u3088\u3073\u4f4e\u6b21\u5143\u8fd1\u4f3c\u30b5\u30f3\u30d7\u30eb\u3092\u542b\u3081\u307e\u3057\u305f\u3002PyTorch\u304a\u3088\u3073CUDA\u74b0\u5883\u3067\u306e\u52b9\u7387\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u3001\u52fe\u914d\u8a08\u7b97\u3068\u9010\u6b21\u884c\u5217\u51e6\u7406\u3092\u6700\u9069\u5316\u3057\u307e\u3057\u305f\u3002<\/li>\n<li><b>MATLAB\u30b5\u30dd\u30fc\u30c8\u306e\u5f37\u5316<\/b>\uff1aMATLAB\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u5b89\u5b9a\u6027\u3068\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3092\u78ba\u4fdd\u3059\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u30bf\u30a4\u30d7\u3068\u30c7\u30d0\u30a4\u30b9\u7ba1\u7406\u3092\u6539\u5584\u3057\u307e\u3057\u305f\u3002<\/li>\n<li><b>\u30b3\u30fc\u30c9\u306e\u6539\u826f\u3068\u5b89\u5b9a\u6027<\/b>\uff1a\u4fdd\u5b88\u6027\u3092\u9ad8\u3081\u308b\u305f\u3081\u306e\u30b3\u30fc\u30c9\u69cb\u9020\u306e\u5408\u7406\u5316\u3068\u3001\u4e21\u65b9\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u521d\u671f\u5316\u3068CPU\u51e6\u7406\u306e\u554f\u984c\u3092\u6539\u5584\u3057\u307e\u3057\u305f\u3002<\/li>\n<\/ul>\n<p>\u3053\u306e\u30d7\u30ec\u30ea\u30ea\u30fc\u30b9\u7248\u3067\u306f\u3001MATLAB\u30b5\u30dd\u30fc\u30c8\u306e\u4e3b\u306a\u66f4\u65b0\u3068\u5168\u4f53\u7684\u306a\u30b3\u30fc\u30c9\u306e\u5b89\u5b9a\u6027\u3068\u3068\u3082\u306b\u3001\u65b0\u3057\u3044PyTorch\u306e\u5b9f\u88c5\u304c\u53cd\u6620\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<hr \/>\n<p>https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/4172<\/p>","protected":false},"excerpt":{"rendered":"<p>\u63a5\u7a7a\u9593\u9069\u5fdc\u5236\u5fa1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u958b\u767a\u7528\u306b\u3001TanSacNet\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3092\u66f4\u65b0\u3057\u307e\u3057\u305f\u3002 \u65b0\u3057\u3044PyTorch\u5b9f\u88c5\uff1aPyTorch\u30d9\u30fc\u30b9\u306e2-D LSUN\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u5c0e\u5165\u3057\u3001orthonormalTransform.py &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/4478\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;TanSacNet Pre-release20250105 \u516c\u958b&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":4173,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[113,54,18,21,82,151,15,150,152,115],"class_list":["post-4478","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-topics","tag-custom-layer","tag-deep-learning","tag-dictionary-learning","tag-filter-banks","tag-image-restoration","tag-lsun","tag-matlab","tag-pytorch","tag-reduced-order-modeling","tag-wavelets"],"_links":{"self":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/4478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/comments?post=4478"}],"version-history":[{"count":3,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/4478\/revisions"}],"predecessor-version":[{"id":4481,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/posts\/4478\/revisions\/4481"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media\/4173"}],"wp:attachment":[{"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/media?parent=4478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/categories?post=4478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/wp-json\/wp\/v2\/tags?post=4478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}