A method of face detection is proposed, which is based on the skin information and improved local binary pattern (LBP).

提出了一种基于肤色信息与改进的局部二值模式(LBP)算法的人脸检测方法。

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The new method to determine the optimal information sharing coefficients gives the optimal local filter design, so it improves soft-fault detection sensitivity.

信息分配系数确定的新方法由于实现了联邦滤波器局部滤波的最优性，从而提高了软故障检测灵敏度。

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It USES spectrogram information to catch the exact local jump time between adjacent Chinese syllables, especially for weak syllable, which is often leaked by usual detection algorithm.

该算法利用语谱带上的分层信息精确捕捉相邻汉字音节的局部跳变时间点，可以检测到一般的检测算法极易疏漏的弱化音节的端点。

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