搜索资源列表
GNsel
- GN距离法是一种基于马氏距离的建模集样品的挑选算法-GN distance method is a kind of based on markov distance modeling set sample selection algorithm
FaceRec-2013-01-01
- 运用隐马尔科夫算法，实现基于OpenCV的人脸识别-Using hidden Markov algorithm, face recognition based on OpenCV is realized
rf_KL
- 随机场的模拟（利用解析解模拟参数的随机场，markov自相关函数）-analytical simulation of random field
HMM--Java
- 隐马尔科夫模型HMM算法java实现 可以直接实现哦-Hidden Markov Model HMM algorithm java implementation can directly realize oh
cmarkov3.0
- 基于markov的生成随机可读文本的程序-Based on markov The program to generate random readable text
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
MRF
- 提出了一种基于MAP的Markov随机场的图像融合方法-This paper proposes a method of Markov random field to classify the remote sensing images based on the maxi- mum a posteriori model
ICM_seg
- 主要用是马尔可夫随机场分割问题，采用ICM迭代方法。-Mainly with Markov random field segmentation using ICM iterative method.
mrk
- 基于马尔科夫场的图像分割matlab实现源代码-Markov field-based image segmentation matlab source code
Random-process-experiments
- 随机过程实验（研一）包含的程序：离散时间马尔可夫链、连续时间马尔科夫链、布朗运动。-Random process experiments (yanyi) program included: discrete time Markov chains, continuous-time Markov chains, Brownian motion.
swarch-Gauss
- 马尔科夫机制转换条件异方差模型在Gauss的代码-Markov mechanism for converting conditional heteroscedasticity model code in Gauss
Hmm
- 隐马尔科夫模型实现，C语言实现，详细注释-Hidden Markov Model, C language, detailed notes
maerkefu
- 马尔科夫随机过程（已知起始位置和转跳次数）的matlab 仿真-The markov stochastic process (known initial position and turn jump frequency) of matlab simulation
bbomarkov
- BBO算法的markov分析程序，是利用理论分析算法收敛性的不错代码-The BBO algorithm markov analysis program, theoretical analysis of the convergence of the algorithm good code
fbmtools
- 柔性贝叶斯模型和马尔科夫链抽样的Matlab工具箱，很是实用-FBM matlab toolbox is a "Software for Flexible Bayesian Modeling and Markov Chain Sampling" written by Radford Neal.
mcmcdiag
- 蒙特卡洛——马尔科夫链的收敛诊断工具箱，程序可用-Markov chain Monte Carlo (MCMC) convergence diagnostics in Matlab at Laboratory of Computational Engineering.
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
Eyrolles_Programmer_En_Langage_C__Claude_Delannoy
- 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
EM-vs-MCMC
- 一篇关于EM算法与MCMC算法的介绍与区别的论文。-EM VS MCMC for estimation of hidden markov modesl: A computational perspective. Copyright by Tobias Ryden
jahmm-0.6.1-src
- 隐马尔科夫编程。Jahmm (pronounced “jam”), is a Java implementation of Hidden Markov Model (HMM) related algorithms. It’s been designed to be easy to use (e.g. simple things are simple to program) and general purpose.-Hidden Markov programming.Jahmm (pronounc