{"width":"100%","height":"190","description":"\u30c8\u30d4\u30c3\u30af\u30e2\u30c7\u30eb\u3067\u306f EM \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u7528\u3044\u308b\u306e\u304c\u4e00\u822c\u7684\u306a\u306e\u306b\uff0cEM \u306e\u7406\u5c48\u3092\u7406\u89e3\u3067\u304d\u3066\u3044\u306a\u3044\u3002 \u305d\u3053\u3067\uff0cGMM (Gaussian Mixture Model) \u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u63a8\u5b9a\u3092\u5bfe\u8c61\u3068\u3057\uff0c Simon J.D. Prince, Computer vision: models, learning and inference (2012) \u3067\u52c9\u5f37\u3057\u3064\u3064\u306e\uff0c http://nbviewer.ipython.org/github/tritemio/notebooks/blob/master/Mixture_Model_Fitting.ipynb \u306b\u63b2\u8f09\u3055\u308c\u3066\u3044\u305f\u30b3\u30fc\u30c9\u3092\u6253\u3061\u8fbc\u3093\u3067\u307f\u305f\u3002 #codi\u2026","categories":[],"author_url":"https://blog.hatena.ne.jp/ymuto109/","title":"EM\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308bGMM\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u63a8\u5b9a","image_url":null,"url":"https://yoshihikomuto.hatenablog.jp/entry/2015/04/15/000509","author_name":"ymuto109","blog_url":"https://yoshihikomuto.hatenablog.jp/","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fyoshihikomuto.hatenablog.jp%2Fentry%2F2015%2F04%2F15%2F000509\" title=\"EM\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308bGMM\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u63a8\u5b9a - (\u4e3b\u306b)\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","type":"rich","published":"2015-04-15 00:05:09","provider_url":"https://hatena.blog","version":"1.0","blog_title":"(\u4e3b\u306b)\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u30e1\u30e2","provider_name":"Hatena Blog"}