{"id":42397,"date":"2023-05-11T21:41:33","date_gmt":"2023-05-11T13:41:33","guid":{"rendered":"https:\/\/swarma.org\/?p=42397"},"modified":"2023-05-11T21:41:33","modified_gmt":"2023-05-11T13:41:33","slug":"nat-mach-intell-%e9%80%9f%e9%80%92%ef%bc%9a%e5%9b%be%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e5%ae%9e%e7%8e%b0%e4%b8%89%e7%bb%b4%e6%b5%81%e4%bd%93%e8%bf%90%e5%8a%a8%e4%b8%ad%e7%9a%84%e7%b2%92%e5%ad%90","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=42397","title":{"rendered":"Nat. Mach. Intell. \u901f\u9012\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u5b9e\u73b0\u4e09\u7ef4\u6d41\u4f53\u8fd0\u52a8\u4e2d\u7684\u7c92\u5b50\u8ddf\u8e2a"},"content":{"rendered":"
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\u8bba<\/span>\u6587\u9898\u76ee\uff1a<\/span>Recurrent graph optimal transport for learning 3D flow motion in particle tracking<\/span><\/section>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence<\/em><\/span><\/p>\n

\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42256-023-00648-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u8fd9\u9879\u6700\u65b0\u53d1\u8868\u4e8e Nature Machine Intelligence<\/em> \u7684\u6587\u7ae0\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u7aef\u5230\u7aef\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u79f0\u4e3a\u56fe\u6700\u4f18\u8f93\u8fd0<\/span>\uff08GotFlow3D\uff09<\/span>\uff0c\u4ece\u8fde\u7eed\u7684\u7c92\u5b50\u56fe\u50cf\u4e2d\u5b66\u4e60\u4e09\u7ef4\u6d41\u4f53\u6d41\u52a8\u3002\u6240\u63d0\u51fa\u7684\u6a21\u578b\u4f7f\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u6765\u63d0\u53d6\u51e0\u4f55\u7279\u5f81\uff0c\u5e76\u8fdb\u4e00\u6b65\u4e30\u5bcc\u7c92\u5b50\u7684\u8868\u793a\u3002\u63d0\u53d6\u7684\u6df1\u5c42\u7279\u5f81\u968f\u540e\u88ab\u7528\u6765\u5bf9\u5e94\u8fde\u7eed\u5e27\u4e4b\u95f4\u7684\u7c92\u5b50\uff0c\u7136\u540e\u7528\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\u65b9\u6cd5\u8fed\u4ee3\u66f4\u65b0\u6d41\u52a8\u8fd0\u52a8\u3002<\/span><\/p>\n

\u901a\u8fc7\u5bf9\u6570\u503c\u5b9e\u9a8c\u7684\u8bc4\u4f30\u548c\u5bf9\u771f\u5b9e\u4e16\u754c\u5b9e\u9a8c\u7684\u9a8c\u8bc1\uff0c\u4e0e\u6700\u8fd1\u5f00\u53d1\u7684\u573a\u666f\u6d41\u5b66\u4e60\u5668\u548c\u7c92\u5b50\u8ddf\u8e2a\u7b97\u6cd5\u76f8\u6bd4\uff0cGotFlow3D \u5b9e\u73b0\u4e86\u6700\u5148\u8fdb\u7684\u6027\u80fd\u3002\u8be5\u65b9\u6cd5\u7684\u9ad8\u51c6\u786e\u6027\u3001\u7a33\u5065\u6027\u548c\u6cdb\u5316\u80fd\u529b\u53ef\u4ee5\u4e3a\u8bb8\u591a\u7269\u7406\u548c\u751f\u7269\u7cfb\u7edf\u7684\u590d\u6742\u52a8\u529b\u5b66\u63d0\u4f9b\u66f4\u6df1\u7684\u6d1e\u5bdf\u529b\u3002<\/span><\/p>\n

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\u56fe1. \u7528\u4e8e\u4ece\u7c92\u5b50\u96c6\u5408\u5b66\u4e60\u6d41\u52a8\u7684 GotFlow3D \u6846\u67b6<\/span><\/section>\n

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\u56fe2. FluidFlow3D-norm \u6570\u636e\u96c6\u4e2d\u7684\u6d41\u91cf\u4f30\u8ba1\u6027\u80fd<\/span><\/section>\n

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\u56fe3. GotFlow3D \u5e94\u7528\u4e8e CylinderFlow \u548c DeformationFlow \u6570\u636e\u96c6\u7684\u7c92\u5b50\u8ddf\u8e2a\u6d4b\u901f<\/span><\/p>\n


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1. <\/strong>Barab\u00e1si \u6700\u65b0\u7814\u7a76\uff1a\u5229\u7528\u56fe\u795e\u7ecf\u7f51\u7edc\u52a0\u901f\u7f51\u7edc\u5e03\u5c40<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> Nat. Commun. \u901f\u9012\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b\u5355\u4e2a\u86cb\u767d\u8d28\u7ed3\u6784\u4e2d\u9690\u85cf\u53e3\u888b\u7684\u4f4d\u7f6e<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>\u7814\u7a76\u901f\u9012\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u4f20\u64ad\u73b0\u8c61<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
4. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
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5. \u6210\u4e3a\u96c6\u667aVIP\uff0c\u89e3\u9501\u5168\u7ad9\u8bfe\u7a0b\uff0f\u8bfb\u4e66\u4f1a<\/span><\/strong><\/a><\/strong><\/strong><\/strong><\/strong><\/section>\n
6.<\/strong><\/strong><\/strong> <\/strong><\/strong><\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/span><\/section>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/span><\/strong><\/section>\n

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\u5173\u952e\u8bcd\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\uff0c\u7c92\u5b50\u8ddf\u8e2a\uff0c\u6e4d\u6d41\uff0c\u56fe\u6700\u4f18\u8f93\u8fd0 \u8bba\u6587\u9898\u76ee\uff1aRecurrent graph optimal transport for learning 3D flow motion in particle tracking \u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence \u8bba\u6587\u94fe\u63a5\uff1a…<\/p>\n","protected":false},"author":0,"featured_media":42391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/42397"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=42397"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/42397\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/42391"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=42397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=42397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=42397"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=42397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}