马尔可夫模型
一文搞懂HMM(隐马尔可夫模型):
https://www.cnblogs.com/skyme/p/4651331.html
百度百科:
https://baike.baidu.com/item/%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB%E9%9A%8F%E6%9C%BA%E5%9C%BA/3287733?fr=aladdin
马尔科夫随机场的基本概念:
http://www.cnblogs.com/bhlsheji/p/5116775.html
http://blog.csdn.net/on2way/article/details/47307927
关于吴恩达:
https://zhidao.baidu.com/question/365182420949962692.html
如何理解Hammersley–Clifford theorem以及Gibbs measure?
https://www.zhihu.com/question/29805781
简单易学的机器学习算法——马尔可夫链蒙特卡罗方法MCMC
http://blog.csdn.net/google19890102/article/details/51755242
这是我发现最通俗易懂的了:
PGM学习之七 MRF,马尔科夫随机场
http://blog.csdn.net/polly_yang/article/details/9716591
CV | Interactive Image Segmentation 图割法分割图像
http://blog.csdn.net/ilovejohnny/article/details/54094372
CV | Max Flow / Min Cut 最大流最小割算法学习
http://blog.csdn.net/iLOVEJohnny/article/details/52016742?locationNum=2&fps=1
CV | Semantic Co-segmentation in Videos 视频协同语义分割
http://blog.csdn.net/ilovejohnny/article/details/54094372
CV | Feature Space Optimization for Semantic Video Segmentation - 基于特征空间优化的视频语义分割
http://blog.csdn.net/ilovejohnny/article/details/53977410
【图割】opencv中构建图和最大流/最小割的gcgraph.h源码解读
http://blog.csdn.net/u011574296/article/details/52983211
计算机视觉:关于Graph cuts的简介及相关资源
http://blog.csdn.net/hebby06/article/details/5341228
http://blog.csdn.net/zouxy09/article/details/8532106
http://blog.csdn.net/Allyli0022/article/details/49488405
图像分割之(二)Graph Cut(图割)
http://blog.csdn.net/zouxy09/article/details/8532111
图像分割之(三)从Graph Cut到Grab Cut
http://blog.csdn.net/zouxy09/article/details/8534954
图像分割之(四)OpenCV的GrabCut函数使用和源码解读
http://blog.csdn.net/zouxy09/article/details/8535087
Graph-Cut算法简介
http://riyueshi.github.io/2015/10/07/graph_cut/
关于马尔科夫随机场MRF的思考
http://blog.sciencenet.cn/blog-284987-463428.html
合作切割是一种具有高阶边缘电位的马尔可夫随机场推理方法。(代码)
http://coopcut.berkeleyvision.org/
https://github.com/shelhamer/coop-cut