搜索资源列表
Markov--used-in-image-processing
- Markov random field used in image processing-Markov random field used in image processing
Hidden-Markov-Model
- 实现了隐马尔可夫模型的前向算法、后向算法和viterbi算法。-Hidden Markov Model to achieve a forward algorithm, and after the viterbi algorithm to algorithm.
markov
- a tcl scr ipt that fully describe a mm1 markov chain. details: CBR source, ecc, ecc.
HMM
- hmm(hidden Markov Model ) program in java-hmm (hidden Markov Model ) program in java
Prostate-Cancer-Segmentation-With-Simultaneous.ra
- comparative study of optimization approaches in markov random field model for magnetic resonance image case study.also some other techniques are studied and described
Hidden-Markov-tree-model
- to remove noise of images using markov-3 mode
random-simulation
- MCMC,short for Markov Chain Mente Carlo, is a good way for random simulation
MSM_MLE
- Contains the matlab routines to estimate a univariate markov switching multifractal model of calvet and fisher 2004
Gaussian-Mixtrure-with-Markov
- 高斯混合模型 马尔科夫随机场 目标检测 -Gaussian mixture model Markov random target detection
ImageSegmentation
- Image segmentation based on fusion of edge information and region growing with the use of Markov random fields
HMM
- Hidden markov model toobox with viterbi path
BUGS-for-a-Bayesian-analysis
- Markov chain Monte Carlo integration
Markov-Chain-Monte-Carlo
- Markov Chain Monte Carlo and gibbs sampling
QoS-of-markov-selection-strategy
- 面向QOS的马尔可夫选择决策算法，通过对算法模型合理化构建过程于异构环境特点的紧密结合，最大程度满足异构网络环境中用户QOS的长期效益-Facing the QOS markov selection decision algorithm, based on the rationalization process in constructing algorithm model heterogeneous environment characteristics of closely, satisfy
Image-Analysis-and-Markov-Random-Fields-(MRFs).ra
- Image Analysis and Markov Random Fields (MRFs)
Strong-Markov-Random-Field-Model
- Strong Markov Random Field Model
simulated-Markov-chain
- 此文件，可以模拟马尔科夫链，包括原代码，以及图像-This file can be simulated Markov chain, including the original code, and images
GM-with-Markov
- 带有markov链的灰色系统程序，自己编写的，效果不是特别的明显，但以改小误差-Grey theory model with markov chain to do prediction!
Markov-chain-model
- 马尔可夫链 2.1 马尔可夫链的定义 现实世界中有很多这样的现象：某一系统在已知现在情况的条件下，系统未来时刻 的情况只与现在有关，而与过去的历史无直接关系。比如，研究一个商店的累计销售额， 如果现在时刻的累计销售额已知，则未来某一时刻的累计销售额与现在时刻以前的任一 时刻累计销售额无关。上节中的几个例子也均属此类。描述这类随机现象的数学模型称 为马氏模型。-Markov chain model
Markov-Chain
- Markov Chain的详细介绍，齐次过程的基本概念，相关理论-Markov Chain