{"id":1627,"date":"2018-08-02T13:22:47","date_gmt":"2018-08-02T04:22:47","guid":{"rendered":"http:\/\/msiplab.eng.niigata-u.ac.jp\/?p=1627"},"modified":"2018-08-08T13:29:06","modified_gmt":"2018-08-08T04:29:06","slug":"2018%e5%b9%b48%e6%9c%88%e4%bb%a5%e9%99%8d%e3%81%ae%e7%99%ba%e8%a1%a8%e4%ba%88%e5%ae%9a","status":"publish","type":"post","link":"https:\/\/www.eng.niigata-u.ac.jp\/~msiplab\/index.php\/archives\/1627","title":{"rendered":"2018\u5e748\u6708\u4ee5\u964d\u306e\u767a\u8868\u4e88\u5b9a"},"content":{"rendered":"<p><\/p>\n<h2>\u56fd\u969b\u4f1a\u8b70<\/h2>\n<ul>\n<li>Weihang Liao, Gene Cheung, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, <strong>Graph Learning &amp; Fast Transform Coding of 3D River Data<\/strong>, APSIPA ASC 2018, Hawaii, Nov. 2018<\/li>\n<li>Satoshi Nagayama, Shogo Muramatsu, Hiroyoshi Yamada, \u00a0<strong>Single-image Super-resolution using Complex Nonseparable Oversampled Lapped Transforms<\/strong>, APSIPA ASC 2018, Hawaii, Nov. 2018<\/li>\n<\/ul>\n<h2>\u56fd\u5185\u5b66\u4f1a<\/h2>\n<ul>\n<li>\u3007\u85e4\u4e95\u5143\u6689\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5d14\u3000\u68ee\u60a6\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u5c0f\u91ce\u5cfb\u4f51\uff08\u6771\u5de5\u5927\uff09\u30fb\u592a\u7530\u3000\u5cb3\u30fb\u4efb\u3000\u66f8\u6643\u30fb\u65e5\u6bd4\u91ce\u3000\u6d69\uff08\u65b0\u6f5f\u5927\uff09\uff0c<strong>\u968e\u5c64\u7684\u30b9\u30d1\u30fc\u30b9\u6b63\u5247\u5316\u3068\u30cf\u30fc\u30c9\u5236\u7d04\u3092\u5229\u7528\u3057\u305fOCT\u30dc\u30ea\u30e5\u30fc\u30e0\u30c7\u30fc\u30bf\u5fa9\u5143\u306e\u5b9f\u30c7\u30fc\u30bf\u691c\u8a3c<\/strong>\uff0c<em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u62d3\u5927\u6587\u4eac\u30ad\u30e3\u30f3\u30d1\u30b9<\/em>\uff0c2018\u5e748\u6708<\/li>\n<li>\u3007\u4f0a\u90f7\u606d\u5e73\u30fb\u6751\u677e\u6b63\u543e\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\uff08\u65b0\u6f5f\u5927\uff09\u30fb\u30b8\u30fc\u30f3 \u30c1\u30e7\u30f3\uff08NII\uff09\uff0c<strong>\u00a0\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u30c7\u30fc\u30bf\u5206\u6790<\/strong>\uff0c<em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u62d3\u5927\u6587\u4eac\u30ad\u30e3\u30f3\u30d1\u30b9<\/em>\uff0c2018\u5e748\u6708<\/li>\n<li>\u3007\u6822\u68ee\u7fd4\u592a\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09\uff0c<strong>CNN\u306b\u304a\u3051\u308b\u7573\u307f\u8fbc\u307f\u5c64\u3078\u306e\u69cb\u9020\u5236\u7d04\u306e\u691c\u8a0e<\/strong>\uff0c\u00a0<em>\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u4fe1\u53f7\u51e6\u7406\u7814\u7a76\u4f1a\uff0c\u62d3\u5927\u6587\u4eac\u30ad\u30e3\u30f3\u30d1\u30b9<\/em>\uff0c2018\u5e748\u6708<\/li>\n<li>\u3007\u5409\u7530\u7950\u592a\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09\uff0c<strong>\u7d44\u8fbc\u307f\u30d3\u30b8\u30e7\u30f3\u306b\u5411\u3051\u305f\u975e\u5206\u96e2\u5197\u9577\u91cd\u8907\u5909\u63db\u306e\u9ad8\u901f\u5316<\/strong>\uff0c\u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a\uff08\u30b5\u30de\u30fc\u30bb\u30df\u30ca\u30fc2018\uff09\uff0c\u897f\u6d66\u6e29\u6cc9 \u9f8d\u57ce\uff0c2018\u5e748\u6708<\/li>\n<li>\u3007\u91d1\u5b50\u4f91\u5e73\u30fb\u5b89\u7530\u6d69\u4fdd\u30fb\u65e9\u5742\u572d\u53f8\u30fb\u6751\u677e\u6b63\u543e\uff08\u65b0\u6f5f\u5927\uff09\uff0c<strong>\u52d5\u7684\u30e2\u30fc\u30c9\u5206\u89e3\u306b\u3088\u308b\u6cb3\u5ddd\u72b6\u614b\u306e\u30c7\u30fc\u30bf\u99c6\u52d5\u30e2\u30c7\u30ea\u30f3\u30b0<\/strong>\uff0c\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\uff0c\u91d1\u6ca2\u5927\u5b66\uff0c2018\u5e749\u6708<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u56fd\u969b\u4f1a\u8b70 Weihang Liao, Gene Cheung, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Graph Learning &amp; 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