Notes on Markov Random Field energy function and Reparameterization Example

Markov Random Field is basically a model of joint probability distribution. It is commonly used in many places where an output get biased depending on the output of its neighbors which including Computer Vision. In computer vision one of the major problem that we are aware of […]

How to automate numpy installation in your project using setuptool?

Recently for an opensurce project, I had to work using numpy. Numpy makes life a lot easier, without any doubt, but when it comes to of setuptool. It does not work just by adding <code>’install_requires:[“numpy”]’ </code> mainly because unlike any other python packages numpy is […]

Notes on ensuring Maximum Energy Flow using s-t flow/cut & residual graph

Maximum Flow problem is one of the important problems in combinatorial optimization. It finds feasible solution for flowing energy from one source to another point. Here we are interested to find a minimum energy labeling in a MRF. Lets define our problem space using directed graph. Every edge […]