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		<title>14-10-12 Lantian Li - 版本历史</title>
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		<updated>2026-04-10T09:38:26Z</updated>
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	<entry>
		<id>http://index.cslt.org/mediawiki/index.php?title=14-10-12_Lantian_Li&amp;diff=11768&amp;oldid=prev</id>
		<title>Lilt：以“Weekly Summary  1. Comparison of Two Methods for Kmeans Clustering  1）Means_model: Building virtual speaker models by calculating means.  2) Real_model: Searching...”为内容创建页面</title>
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				<updated>2014-10-13T13:33:37Z</updated>
		
		<summary type="html">&lt;p&gt;以“Weekly Summary  1. Comparison of Two Methods for Kmeans Clustering  1）Means_model: Building virtual speaker models by calculating means.  2) Real_model: Searching...”为内容创建页面&lt;/p&gt;
&lt;p&gt;&lt;b&gt;新页面&lt;/b&gt;&lt;/p&gt;&lt;div&gt;Weekly Summary&lt;br /&gt;
&lt;br /&gt;
1. Comparison of Two Methods for Kmeans Clustering&lt;br /&gt;
&lt;br /&gt;
1）Means_model: Building virtual speaker models by calculating means.&lt;br /&gt;
&lt;br /&gt;
2) Real_model: Searching for the nearest model around each virtual model.&lt;br /&gt;
&lt;br /&gt;
Results show that the two methods is similar.&lt;br /&gt;
&lt;br /&gt;
2. Design three-dimensional score vectors, each dimension of the vector is the system-score, tnorm-score, crank.&lt;br /&gt;
&lt;br /&gt;
3. By means of SVM, making a binary classification of all score vectors.&lt;br /&gt;
&lt;br /&gt;
Next Week&lt;br /&gt;
&lt;br /&gt;
1. Statistical classification results, comparion with the eer result. &lt;br /&gt;
&lt;br /&gt;
2. Expecting to use MLP to make classification .&lt;/div&gt;</summary>
		<author><name>Lilt</name></author>	</entry>

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