本文提出了将三阶隐马尔可夫模型运用到维吾尔语词性标注中的方法。
This paper describes a method of Uigur part-of-speech tagging with third-order Hidden Markov Model.
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
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。
Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.
文章提出了一种基于多重隐马尔可夫模型和区域投影变换的手写体汉字识别新方法。
A new approach for handwritten Chinese character recognition based on multiple hidden Markov model classifiers and sub-region projection transform is proposed in the thesis.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
特征肤色的方法是针对彩色图像的人脸检测方法，针对灰度图像本文采用基于隐马尔可夫模型的人脸识别方法来检测人脸。
The eigen skin-color method is for the color images. For gray images, this paper USES face recognition method based on hidden Markov models to detect human faces.
对隐马尔可夫模型训练过程中参数B的优化方法进行改进。
Improve on optimized method of parameter B in the process of HMM training.
提出用散射点参数作为识别特征，用隐马尔可夫模型（HMM）作分类器的雷达目标识别方法。
We contribute to automatic target recognition (ATR) by a hidden Markov model (HMM) based classifier, with parameters of scattering centers.
提出一种隐马尔可夫模型和K -均值聚类混合模型的声目标识别方法。
A recognition method based on HMM and K-means cluster is proposed through extracting LPC characteristic from acoustic target.
然后研究了用于语音识别的两种方法：隐马尔可夫模型(HMM)和人工神经网络(ANN)。
And then, two methods of speech recognition are researched: Hidden Markov Mode1 (HMM) and Artificial Neutral Net (ANN).
通过迭代学习的方法在大样本下进一步训练这些隐马尔可夫模型参数；
The HMMs' parameters are further trained by the method of iterative learning from a large data set;
本论文详细地介绍了隐马尔可夫模型的理论方法，突出了语音信号隐马尔可夫模型分析的重要性。
This thesis introduced in detail theories method of the Hidden Markov Model, outstanding the importance that Hidden Markov Model used in speech signal.
本论文详细地介绍了隐马尔可夫模型的理论方法，突出了语音信号隐马尔可夫模型分析的重要性。
This thesis introduced in detail theories method of the Hidden Markov Model, outstanding the importance that Hidden Markov Model used in speech signal.
应用推荐