Code, Algorithms and Probabilities

In Faster Data Association with Max-Sum Loopy Belief Propagation (MASDA) I derived MASDA for the tracking problem: associate measurements with objects, allowing for clutter and misdetection. Stereo matching has the same structure, so this post applies MASDA there and measures what it gains. [Read More]

This presents a data association algorithm I call MASDA (Max-Sum Algorithm Data Association) which relies on message passing in a factor graph. [Read More]

Gaussian Belief Propagation is a variant of Belief Propagation and used for inference on graphical models if the underlying distribution is described as a Gaussian. [Read More]

I want to continue my previous post with a (useful) example to get more a feel how to use Loopy Belief Propagation in practice. The aim is to remove noise from an image - which is only a toy example. [Read More]

This is about how to implement Loopy Belief Propagation in Python and to understand the calculations in detail. [Read More]