This paper proposes two new methods: feature weighted likelihood and divergence based dimension reduction to improve detecting performance in noise.

本文提出了两种特征处理方法：特征的似然度加权和基于散度的维数缩减，来提高噪声下端点检测的性能。

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This paper proposes two new methods: feature weighted likelihood and divergence based dimension reduction to improve detecting performance in noise.

本文提出了两种特征处理方法：特征的似然度加权和基于散度的维数缩减，来提高噪声下端点检测的性能。

youdao