{"id":1125,"date":"2019-11-12T14:59:59","date_gmt":"2019-11-12T05:59:59","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/cds\/?p=1125"},"modified":"2020-01-14T11:55:04","modified_gmt":"2020-01-14T02:55:04","slug":"waseda-university-academia-sinica-data-science-workshop-%e9%96%8b%e5%82%ac-2","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/cds\/news\/1125","title":{"rendered":"Waseda University &#8211; Academia Sinica Data Science Workshop \u958b\u50ac"},"content":{"rendered":"<p>2019\u5e7411\u67087\u65e5\u3001\u65e9\u7a32\u7530\u5927\u5b66\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u306f\u3001\u53f0\u6e7eAcademia Sinica\u306eInstitute of Statistical Science\u3088\u308a\u6240\u9577\u306eChun-houh Chen\u535a\u58eb\u3001\u526f\u6240\u9577\u306eI-Ping Tu\u535a\u58eb\u304a\u3088\u3073\u7814\u7a76\u54e1\u306eSu-Yun Huang\u535a\u58eb\u3092\u62db\u8058\u3057\u3001Waseda University &#8211; Academia Sinica Data Science Workshop \u3092\u958b\u50ac\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>\u307e\u305a\u306f\u958b\u4f1a\u306b\u3042\u305f\u308a\u3001Academia Sinica\u306eChun-houh Chen\u6240\u9577\u304c\u6328\u62f6\u3092\u8ff0\u3079\u307e\u3057\u305f\u3002<\/p>\n<p>\u5348\u524d\u306b\u306f\u3001\u540c\u3058\u304fChen\u6240\u9577\u306b\u3088\u308b\u30cf\u30f3\u30ba\u30aa\u30f3\u30ec\u30af\u30c1\u30e3\u30fc\u300cStatistical Graphics and Data Visualization (Parts I, II)\u300d\u304c\u884c\u308f\u308c\u307e\u3057\u305f\u3002<\/p>\n<div id=\"attachment_1132\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1132\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/6eae1d39bdea1682c1abec226e3a0b38-e1573519280551-610x406.jpg\" alt=\"\" width=\"430\" height=\"286\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/6eae1d39bdea1682c1abec226e3a0b38-e1573519280551-610x406.jpg 610w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/6eae1d39bdea1682c1abec226e3a0b38-e1573519280551-768x512.jpg 768w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/6eae1d39bdea1682c1abec226e3a0b38-e1573519280551-940x626.jpg 940w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/6eae1d39bdea1682c1abec226e3a0b38-e1573519280551.jpg 1795w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><p class=\"wp-caption-text\">Chun-houh Chen\u6240\u9577<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>\u5168\u4f53\u306e\u53f8\u4f1a\u9032\u884c\u306f\u3001\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u306eXiaoling Dou\u51c6\u6559\u6388\u304c\u52d9\u3081\u307e\u3057\u305f\u3002<\/p>\n<div id=\"attachment_1129\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-1129\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/4c3b68365b50219893a2c9bf50298ec2-e1573519058145-610x406.jpg\" alt=\"\" width=\"430\" height=\"286\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/4c3b68365b50219893a2c9bf50298ec2-e1573519058145-610x406.jpg 610w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/4c3b68365b50219893a2c9bf50298ec2-e1573519058145-768x511.jpg 768w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/4c3b68365b50219893a2c9bf50298ec2-e1573519058145-940x625.jpg 940w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/4c3b68365b50219893a2c9bf50298ec2-e1573519058145.jpg 1698w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><p class=\"wp-caption-text\">Xiaoling Dou\u51c6\u6559\u6388<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>\u5348\u5f8c\u306b\u306f3\u3064\u306e\u8b1b\u6f14\u304c\u884c\u308f\u308c\u307e\u3057\u305f\u3002\u6700\u521d\u306fChen\u6240\u9577\u306b\u3088\u308b\u300cMatrix Visualization: New Generation of Exploratory Data Analysis\u300d\u30012\u756a\u76ee\u30683\u756a\u76ee\u306e\u8b1b\u6f14\u306fI-Ping Tu\u526f\u6240\u9577\u3068Su-Yun Huang\u7814\u7a76\u54e1\u306b\u3088\u308b\u5171\u540c\u8b1b\u6f14\u3067\u3001\u30bf\u30a4\u30c8\u30eb\u306f\u305d\u308c\u305e\u308c\u3001\u300cOn Principal Component Analysis and Multilinear Principal Component Analysis\u300d\u3068\u300cKronecker Envelope PCA and Its Application to Cryo-EM Image Data\u300d\u3067\u3057\u305f\u3002<\/p>\n<div id=\"attachment_1127\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1127\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c6dc5580e26ecd145652b9cdd267df88-e1573519152771-610x407.jpg\" alt=\"\" width=\"430\" height=\"287\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c6dc5580e26ecd145652b9cdd267df88-e1573519152771-610x407.jpg 610w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c6dc5580e26ecd145652b9cdd267df88-e1573519152771-768x512.jpg 768w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c6dc5580e26ecd145652b9cdd267df88-e1573519152771-940x627.jpg 940w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><p class=\"wp-caption-text\">I-Ping Tu\u526f\u6240\u9577<\/p><\/div>\n<div id=\"attachment_1126\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1126\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/3ca8a6490c07e6d5328b92939c221df4-e1573519193140-610x407.jpg\" alt=\"\" width=\"430\" height=\"287\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/3ca8a6490c07e6d5328b92939c221df4-e1573519193140-610x407.jpg 610w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/3ca8a6490c07e6d5328b92939c221df4-e1573519193140-768x512.jpg 768w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/3ca8a6490c07e6d5328b92939c221df4-e1573519193140-940x627.jpg 940w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/3ca8a6490c07e6d5328b92939c221df4-e1573519193140.jpg 1998w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><p class=\"wp-caption-text\">Su-Yun Huang\u7814\u7a76\u54e1<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>\u5168\u8b1b\u6f14\u7d42\u4e86\u5f8c\u3001\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u3068Academia Sinica\u306eInstitute of Statistical Science\u3067\u304a\u4e92\u3044\u306e\u8a18\u5ff5\u54c1\u8d08\u5448\u3092\u884c\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\t\t<style type=\"text\/css\">\n\t\t\t#gallery-2 {\n\t\t\t\tmargin: auto;\n\t\t\t}\n\t\t\t#gallery-2 .gallery-item {\n\t\t\t\tfloat: left;\n\t\t\t\tmargin-top: 10px;\n\t\t\t\ttext-align: center;\n\t\t\t\twidth: 50%;\n\t\t\t}\n\t\t\t#gallery-2 img {\n\t\t\t\tborder: 2px solid #cfcfcf;\n\t\t\t}\n\t\t\t#gallery-2 .gallery-caption {\n\t\t\t\tmargin-left: 0;\n\t\t\t}\n\t\t\t\/* see gallery_shortcode() in wp-includes\/media.php *\/\n\t\t<\/style>\n\t\t<div id='gallery-2' class='gallery galleryid-1125 gallery-columns-2 gallery-size-thumbnail'><dl class='gallery-item'>\n\t\t\t<dt class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/www.waseda.jp\/inst\/cds\/news\/1125\/attachment\/%e3%81%8f%e3%81%be'><img loading=\"lazy\" decoding=\"async\" width=\"360\" height=\"270\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c84383fbf54b8507c3aeeb84dbf42cf8-e1573519119161-360x270.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c84383fbf54b8507c3aeeb84dbf42cf8-e1573519119161-360x270.jpg 360w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/c84383fbf54b8507c3aeeb84dbf42cf8-e1573519119161-720x540.jpg 720w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/a>\n\t\t\t<\/dt><\/dl><dl class='gallery-item'>\n\t\t\t<dt class='gallery-icon landscape'>\n\t\t\t\t<a href='https:\/\/www.waseda.jp\/inst\/cds\/news\/1125\/attachment\/%e6%8e%9b%e3%81%91%e8%bb%b8'><img loading=\"lazy\" decoding=\"async\" width=\"360\" height=\"270\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/1beff1a94fbb2b390270820692052b94-e1573518964703-360x270.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/1beff1a94fbb2b390270820692052b94-e1573518964703-360x270.jpg 360w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/1beff1a94fbb2b390270820692052b94-e1573518964703-720x540.jpg 720w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/a>\n\t\t\t<\/dt><\/dl><br style=\"clear: both\" \/>\n\t\t<\/div>\n\n<p>&nbsp;<\/p>\n<p>\u6700\u5f8c\u306b\u3001\u9589\u4f1a\u306b\u3042\u305f\u308a\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u6240\u9577\u30fb\u7406\u5de5\u5b66\u8853\u9662\u306e\u677e\u5d8b\u654f\u6cf0\u6559\u6388\u304c\u6328\u62f6\u3092\u8ff0\u3079\u307e\u3057\u305f\u3002<\/p>\n<div id=\"attachment_1133\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1133\" src=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/8465745e7c5b141b187f19182837db34-e1573519235282-610x407.jpg\" alt=\"\" width=\"430\" height=\"287\" srcset=\"https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/8465745e7c5b141b187f19182837db34-e1573519235282-610x407.jpg 610w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/8465745e7c5b141b187f19182837db34-e1573519235282-768x513.jpg 768w, https:\/\/www.waseda.jp\/inst\/cds\/assets\/uploads\/2019\/11\/8465745e7c5b141b187f19182837db34-e1573519235282-940x628.jpg 940w\" sizes=\"auto, (max-width: 430px) 100vw, 430px\" \/><p class=\"wp-caption-text\">\u677e\u5d8b\u654f\u6cf0\u6240\u9577<\/p><\/div>\n<p>&nbsp;<\/p>\n<h3>\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7\u6982\u8981<\/h3>\n<p>\u65e5\u6642\uff1a2019\u5e7411\u67087\u65e5\uff08\u6728\uff09<br \/>\n\u5834\u6240\uff1a\u65e9\u7a32\u7530\u5927\u5b66 \u559c\u4e45\u4e95\u753a\u30ad\u30e3\u30f3\u30d1\u30b940\u53f7\u9928102\u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30eb\u30fc\u30e0<br \/>\n\u5bfe\u8c61\uff1a\u65e9\u7a32\u7530\u5927\u5b66\u306e\u5b66\u751f\u30fb\u6559\u8077\u54e1\u3001\u5b66\u5916\u8005<br \/>\n\u8a00\u8a9e\uff1a\u82f1\u8a9e<br \/>\n\u4e3b\u50ac\uff1a\u65e9\u7a32\u7530\u5927\u5b66\u9ad8\u5ea6\u30c7\u30fc\u30bf\u95a2\u9023\u4eba\u6750\u80b2\u6210\u30d7\u30ed\u30b0\u30e9\u30e0\u3001\u65e9\u7a32\u7530\u5927\u5b66\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc<\/p>\n<p>&nbsp;<\/p>\n<h3>\u5f53\u65e5\u30d7\u30ed\u30b0\u30e9\u30e0<\/h3>\n<p>Moderator: Associate Professor Xiaoling Dou\u3000Center for Data Science, Waseda University<\/p>\n<table style=\"border-collapse: collapse; width: 100%;\" border=\"0\">\n<tbody>\n<tr style=\"background-color: #f7f7f7;\">\n<td style=\"width: 24.5043%; text-align: center;\">Opening Remarks<\/td>\n<td style=\"width: 75.4958%;\">Director Chun-houh Chen<br \/>\nInstitute of Statistical Science, Academia Sinica<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 24.5043%; text-align: center;\">Lecture 1<\/td>\n<td style=\"width: 75.4958%;\">Statistical Graphics and Data Visualization (Part I)<br \/>\nChun-houh Chen (Institute of Statistical Science, Academia Sinica)<\/td>\n<\/tr>\n<tr style=\"background-color: #f7f7f7;\">\n<td style=\"width: 24.5043%; text-align: center;\">Lecture 2<\/td>\n<td style=\"width: 75.4958%;\">Statistical Graphics and Data Visualization (Part II)<br \/>\nChun-houh Chen (Institute of Statistical Science, Academia Sinica)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 24.5043%; text-align: center;\">Lecture 3<\/td>\n<td style=\"width: 75.4958%;\">Matrix Visualization: New Generation of Exploratory Data Analysis<br \/>\nChun-houh Chen (Institute of Statistical Science, Academia Sinica)<\/td>\n<\/tr>\n<tr style=\"background-color: #f7f7f7;\">\n<td style=\"width: 24.5043%; text-align: center;\">Lecture 4<\/td>\n<td style=\"width: 75.4958%;\">On Principal Component Analysis and Multilinear Principal Component Analysis<br \/>\nI-Ping Tu* &amp; Su-Yun Huang (Institute of Statistical Science, Academia Sinica)<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 24.5043%; text-align: center;\">Lecture 5<\/td>\n<td style=\"width: 75.4958%;\">Kronecker Envelope PCA and Its Application to Cryo-EM Image Data<br \/>\nSu-Yun Huang* &amp; I-Ping Tu (Institute of Statistical Science, Academia Sinica)<\/td>\n<\/tr>\n<tr style=\"background-color: #f7f7f7;\">\n<td style=\"width: 24.5043%; text-align: center;\">Closing remarks<\/td>\n<td style=\"width: 75.4958%;\">Director Toshiyasu Matsushima (Center for Data Science, Waseda University)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<h3>\u4e3b\u50ac\u30fb\u304a\u554f\u3044\u5408\u308f\u305b\u5148<\/h3>\n<p>\u65e9\u7a32\u7530\u5927\u5b66\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u4e8b\u52d9\u6240<br \/>\nTEL\uff1a03-3204-9164<br \/>\nE-mail\uff1acds-info@list.waseda.jp<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2019\u5e7411\u67087\u65e5\u3001\u65e9\u7a32\u7530\u5927\u5b66\u30c7\u30fc\u30bf\u79d1\u5b66\u7dcf\u5408\u7814\u7a76\u6559\u80b2\u30bb\u30f3\u30bf\u30fc\u306f\u3001\u53f0\u6e7eAcademia Sinica\u306eInstitute of Statistical Science\u3088\u308a\u6240\u9577\u306eChun-houh Chen\u535a\u58eb\u3001\u526f\u6240\u9577\u306eI [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1128,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[95,1],"tags":[73,110,112,28],"class_list":["post-1125","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","category-news","tag-research-en","tag-symposium-en","tag-symposium","tag-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/comments?post=1125"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1125\/revisions"}],"predecessor-version":[{"id":1140,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/posts\/1125\/revisions\/1140"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/media\/1128"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/media?parent=1125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/categories?post=1125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/cds\/wp-json\/wp\/v2\/tags?post=1125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}