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random_walk_3D
- Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but will be referenc
random_walk
- 2D version of Brownian motion. A random walk is similar to markov process, however a markov process has no memory, where a random walk uses an initial state. The next step in the walk does not necessarily depend on your current state but wil
Gupta-and-Chen---2010---Theory
- This introduction to the expectation–maximization (EM) algorithm provides an intuitive and mathematically rigorous understanding of EM. Two of the most popular applications of EM are described in detail: estimating Gaussian mixture models (GMMs),
quanbu_HMM
- 全部 隐马尔科夫模型程序，解压1.5M，任何需要都可以从中提取，算法大汇聚-All the hidden Markov model program, unzip 1.5M, any need can extract, the algorithm is a large gathering of
09_2_42
- Recognition of Off-Line Handwritten Arabic Words Using Hidden Markov Model Approach
hmm12345
- 基于隐形马尔科夫的特征提取技术，hmm，opencv-Extraction technique based on the characteristics of stealth Markov，hmm，opencv
hmm_lec
- describe hiden markov model fundamentals
HMM
- 隐马尔科夫模型相关算法，包括前向算法、后向算法，维特比算法等-Hidden markov model algorithm, including the forward algorithm and backward algorithm and viterbi algorithm, etc
001
- 指纹分类是针对大型指纹库的一个重要的索引方式, 可以有效地提高指纹匹配的效率. 指纹类型的不同表现为指纹纹 理结构的差异, 而指纹的方向场则可以有效地描述纹理结构的差异. 同一类型指纹不同区域上方向角结构的差异以及相邻区域 间方向角结构的联系可以视作一个马尔可夫随机场. 本文利用嵌入式隐马尔可夫模型对指纹方向场进行建模分析, 通过合理地 抽取指纹的类型特征, 构造观察向量、进行建模训练, 然后利用训练好的马尔可夫模型进行匹配, 最终提出并实现了一种新的鲁 棒性强且精度较高的指纹分
msvar-
- msvar 马尔科夫链 分析源码，使用ox cosole-msvar Markov chain analysis of source code, using ox cosole
hmm-tutorial
- The Hidden Markov Model (HMM) is a popular statistical tool for modelling a wide range of time series data. In the context of natural language processing(NLP), HMMs have been applied with great success to problems such as part-of-speech tagging a
hmm_paper_rabiner
- A tutorial an hidden markov models and selected applications in speech recognition
HMM_pro
- 隐马尔科夫程序，主要用于语言识别，已经调试好叻，效果很好。-Hidden Markov program, mainly used for speech recognition, has good debugging Ratchasima, the effect is very good.
online_em
- 基于隐马尔可夫模型的在线学习程序，通过不断观测到的数据，进行数据的修正。-Online learning program based on hidden markov model，By the observed data，realizing data correction
sample_mhmm
- 基于隐马尔可夫模型的样本产生程序，从而实现参数的确定。-Based on hidden markov model of the sample program，So as to realize the determination of parameters
Examples
- 基于隐马尔可夫模型的学习推理的具体示例教程。-Learning reasoning based on hidden markov model concrete examples of tutorial
IMM-Kalman-filter--simulation
- 结合雷达跟踪的空中目标的实际情况，针对目标运动模型中的线性运动和非线性运动，分别设计了两种模型，并用马尔科夫状态转移矩阵实现IMM算法。最后对交互多模型卡尔曼滤波算法进行了Matlab仿真及结果分析。-Combined with radar tracking air targets, for linear and non-linear movement of target motion model, two models were designed and used a Markov state
vietri
- hidden markov models, bayessian networks
CPP-For-HMMs-Three-Question
- 关于隐马尔可夫模型HMM三个问题的实现，用c++实现，是初学者学习的好资料-Hidden Markov Model HMM three realization c++ of realization is good for beginners to learn
mathematical-model-15
- matlab数学建模中的15个模型的算法讲解与举例，包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。-15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation a