A time dependent model for deblurring and denoising problems is proposed.

介绍一种依赖时间的新模型来解决图像除噪音和除模糊问题。

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We improve the method calculating the bulk viscosity naturally and apply it to the density dependent model.

我们改进了计算体粘滞系数的方法使之更为自然并应用于密度依赖模型。

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For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).

对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；

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For speaker identification, Expectation Maximization Algorithm (EM) is adopted to train speaker dependent model, and afterwards recognize speaker according to Maximum a Posteriori Criterion (MAP).

对于语者辨识，语者特定模型直接用语者的语料借助于期望值最大化算法（EM）来训练，辨识算法采用了最大事后概率法则（MAP）；

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