搜索资源列表
隐马尔科夫
- 隐马尔科夫随机场进行图像分割，同时采用EM优化算法
MRF-ENCH
- 基于马尔科夫链的图像分割，较以往经典图像分割性能有很大提高-Markov chain-based image segmentation, image segmentation performance than the classical past has greatly improved
HMM2
- 隐马尔科夫模型的ppt课件，比较通俗易懂-Hidden Markov model ppt courseware, more user-friendly
HMM_facerec
- 基于隐马尔科夫模型的人脸识别系统，包含完整的测试程序-Hidden Markov Model based face recognition system, including a complete test program
MRFtoyexample
- 一种基于马尔科夫随机场的图像分割matlab源码，包含ICM迭代条件模式求解最大后验概率算法，已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
hmm
- 对 隐马尔科夫工具包的使用及安装进行说明，主要是在matlab下运用
MRF_book
- 一本介绍马尔科夫随机场及其应用的书，适合想在这个领域入门的读者。-A book about the Markov Random Field and its applications.
mrfstereo
- 马尔科夫随机向量场立体匹配。计算机视觉中的经典算法。-Markov random vector field stereo matching. Classical computer vision algorithms.
HMMDemo
- 基于HMM的人脸识别源代码，配置条件为OPENCV3.1,VC6.0，可以作为了解隐马尔科夫的列子。-HMM-based face recognition source code, configuration conditions OPENCV3.1, VC6.0, as understand the hidden Markov Liezi.
MatlabMarkovchain
- 基于马尔科夫链概念，5*5矩阵的概率转移矩的matlab实现-Based on the concept of Markov chain, the realization of the 5* 5 matrix s transfer probability matrix in matlab
Markov
- 基于马尔科夫链的写作程序，是C++,可以顺利运行-Markov chain-based writing program, is a C++, you can smooth operate it.
Gibbs
- MCMC（马尔科夫链蒙特卡洛）中对于高斯分布的Gibbs采样算法-MCMC Gibbs Sampler
HMM
- 隐马尔科夫模型c++代码，有详细注释-Hidden Markov Model c++ code
viterbi
- viterbi算法，用于HMM（隐马尔科夫模型）中。-viterbi
VoiceRecognitionMarkovianMatlab
- 基于马尔科夫链的连续语音识别的源代码Matlab源码--Speech Recognition Matlab source code--
MarkovFeatureExtraction
- 根据马尔科夫模型提取图像特征，包括块间、块内马尔科夫矩阵-features Extraction of images
隐马尔科夫工具
- 可用于模式识别，特征提取分类的主要工具。性能可靠，计算速度快。
GMRFFCM
- 高斯马尔科夫随机场和模糊c均值聚类的matlab源程序-Gassian Markov random filed and fuzzy c means clustering matlab source code
blogreg
- 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on th
mrf
- 马尔科夫随机场简介，适合初学者学习参考,非常有用的。-An introduction to Markov random fields,which is very useful