The use of hidden Markov models (HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces.

隐马尔可夫模型(HMM)在人脸识别中的运用是由HMM在图像定标变化过程中的局部恒定性和人脸的结构所决定的。

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Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.

提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。

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Our off-line cursive English word recognition system was based on HMM (Hidden Markov Models) and blur segmentation.

介绍了一个基于隐马尔科夫模型的、采用模糊分割方式的脱机手写英文单词识别系统。

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