搜索资源列表
MRF2.0
- 马尔科夫随机场，用于计算机视觉，图像分割，目标检测等。-Markov random field, used in computer vision, image segmentation, target detection.
randomhmm
- 参数为随机数的隐马尔科夫模型，包含前向后向算法，vterbi算法-Parameters of hidden Markov model of random numbers, including forward and backward algorithms, vterbi algorithm
IDEA
- Markov密码的(差分链)转移概率矩阵是双随机矩阵，其第二大（模）特征值对于确定Markov密码必要的迭代轮数有重要价值。该程序由本人编写，实现了求IDEA密码的缩小模型IDEA(8)的转移概率矩阵П0第二大（模）特征值-Markov password (differential chain) transition probability matrix is a doubly stochastic matrix, its second largest (modulus) eigenvalue
slide
- the Bouman slides about markov random fields
Hidden-Markov-Model
- 基于隐马尔可夫的入侵检测,通过对行为的隐马尔可夫比较,有效控制入侵-Hidden Markov Model，HMM is a good way for intrusion detection
HMM_SVM
- 用matlab实现的基于马尔科夫模型和支持向量机的人脸识别系统。非原创，运行了效果很好，功能很强大。具体功能：可根据训练与测试样本生成数据库；计算人脸识别率（96.5 ）；可以识别出指定的图像；可以识别摄像头获取的人脸图像。-Matlab based on markov model and support vector machine (SVM) face recognition system. The original, run the effect is very good, the fun
HMM_study_exp
- 隐马尔可夫链最佳学习范例， 研究最优化和统计语言模型的好资料-Hidden markov chain best learning paradigms, The optimization and statistical language model of good material
attachments_03_01_2011
- Learning images with hidden Markov models (HMM) is a difficult problem, especially because of the important volume of data to be learned by the H-Learning images with hidden Markov models (HMM) is a difficult problem, especially because of the
Markov_chain
- 马尔科夫链的Matlab源程序,求解多目标优化问题所得结果是一个优化解集 -Markov chain Matlab source, multi-objective optimization problem the result is an optimized solution set for solving multi-objective optimization problem the result is an optimized solution set
ghmm-0.9-rc3.tar
- 实现隐马尔科夫链的C语言库GHMM，建议在Linux下使用-Realization of hidden Markov chain C language library GHMM, recommend the use of the Linux
htk-3.3
- HTK是英国剑桥大学开发的一套基于C语言的隐马尔科夫模型工具箱，主要应用于语音识别、语音合成的研究，也被用在其他领域，如字符识别和DNA排序等。HTK是重量级的HMM版本。-Cambridge University HTK is a C-based language developed by the Hidden Markov Model Toolkit, mainly used in speech recognition, speech synthesis research, has also
benary_cleanup
- 使用隐马尔可夫模型在小波域降噪处理运行环境Matlab-Using hidden markov model in wavelet domain noise reduction processing run Matlab environment
qdgqkhs
- 用Matlab实现的隐蔽马尔可夫模型 Hidden Markov ModelH-Matlab Hidden Markov model Hidden Markov ModelHMM
[muchong.com]mcmc
- MCMC方法就是*构造合适的马尔科夫链进行抽样而使用蒙特卡洛方法进行积分计算,既然马尔科夫链可以收敛到平稳分布。我们可以建立一个以π为平稳分布的马尔科夫链，对这个链运行足够长时间之后，可以达到平稳状态。此时马尔科夫链的值就相当于在分布π(x)中抽取样本。利用马尔科夫链进行随机模拟的方法就是MCMC。(MCMC method is * construct appropriate sampling of markov chain and USES the monte carlo method for