搜索资源列表
HMMall
- 隐马尔科夫模型Hidden Markov Model的Matlab实现-the source code of realization of Hidden Markov Model in form of Matlab
HMM
- HMM隐马尔科夫模型，用python语言实现，能够运行，需要安装相应的库。-HMM hidden Markov model, using python language, be able to run, you need to install the appropriate libraries.
Event-Detection-HMM-Model-master
- 基于隐马尔科夫模型的事件检测,通过隐马尔科夫模型的训练学习即可检测特定的事件-event-detection based on HMM
隐Markov模型及其应用
- 比较完整的代码实现，还有关于马尔科夫链的一些资料(Relatively complete code implementation, as well as some information about the Markov chain)
pixel-cnn-master
- 图像中的像素预测，隐马尔科夫模型，卷积神经网络(Pixel prediction, Markov model)
map-matching-0.8.0
- 一种基于openstreetmap和GPS轨迹的地图匹配算法--隐马尔科夫模型。(a map matching algorithm based on openstreetmap and GPS trajectory data.)
CWSS17.1.1.4
- 基于隐马尔科夫模型的中文分词系统，上交ieee专业大一作业，界面一般，主要用于学习，在此分享，注：开发环境python3.5(Based on Hidden Markov model of Chinese word segmentation system, on the IEEE professional freshman job, interface is common, mainly used for learning, in this share, note: development en
hmmlearn-0.2.1-cp35-cp35m-win_amd64
- python3.5版本的隐马尔科夫模型的包,64位(Hidden Markov model can be considered a generalization of a mixture model where the hidden variables (or latent variables), are related through a Markov process rather than independent of each other.)
matlab经典算法程序
- 用正常状态下的特征样本作为模型的观测值对CHSMM进行训练，然后将待测的特征样本输入模型，得到待测样本相对于所建立正常模型的输出概率。(The characteristic samples of normal state are used as the observation value of the model to train the CHSMM, and then the sample input model of the sample to be tested is obtained,
ICDM07-Tang-et-al-Academic-Network-Extraction
- 爬去学术网站算法,包含隐马尔科夫模型和条件随机场(Academic NetWork Extraction Algorithm)
hmm
- 隐马尔科夫链作为故障诊断和识别的手段，有事例和程序详解(Hidden Markov chain as a means of fault diagnosis and identification, there are detailed examples and procedures)
hmm
- 解决隐马尔科夫问题中的MATLAB程序，包含前后向算法，Viterbi求解，BaumWelch求解(MATLAB in solving the problem of hidden markov, including front and back to the algorithm, Viterbi, BaumWelch solution)
fhmm1
- 可以将不同的人脸进行识别分类，使用隐马尔科夫算法实现较高的识别率(Different faces can be identified and classified, using hidden Markov algorithm to achieve higher recognition rate)
hmm机器学习
- HMM(隐马尔科夫模型)是自然语言处理中的一个基本模型，用途比较广泛，如汉语分词、词性标注及语音识别等，在NLP中占有很重要的地位(HMM (hidden Markov model) is a basic model in Natural Language Processing, which is widely used, such as Chinese segmentation, part of speech tagging and speech recognition, and plays
HMM-GMM
- 使用高斯混合模型和隐马尔科夫模型进行建模(Modeling using Gauss mixture model and hidden Markov model)
HMM
- 隐马尔科夫算法包和一个简单的隐马尔科夫例子。(Hidden Markov algorithm package and a simple hidden Markov model.)
35973510VAD-DTW-HMM
- 基于动态时间规整与隐马尔科夫模型的自动语音识别系统(Automatic speech recognition system based on dynamic time warping and hidden Markov model)
fuxian
- 隐马尔科夫的基本应用，用于可靠度的计算。(The basic application of hidden Markov)
offline-map-matching-master
- 离线地图匹配，利用HMM隐马尔科夫模型实现离线地图匹配(map matching,use hmm to matching the point data to road data)
HMM1
- 在VC6.0平台上进行编写的，包括隐马尔科夫模型（HMM）和混合高斯模型（GMM）在内的用于模板训练的算法。(The algorithm for template training is written on VC6.0 platform, including hidden Markov model (HMM) and mixed Gauss model (GMM).)