27 citations · 40 across the 6 of their papers we have counts for
4 papers · 1 filter
Strengthening Probabilistic Graphical Models: The Purge-and-merge Algorithm
Simon Streicher, Johan du Preez
Probabilistic graphical models (PGMs) are powerful tools for solving systems of complex relationships over a variety of probability distributions. However, while tree-structured PG…
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning
Dewald Homan, Johan A. du Preez
Prior work on plant species classification predominantly focuses on building models from isolated plant attributes. Hence, there is a need for tools that can assist in species iden…
A Probabilistic Graphical Model Approach to the Structure-and-Motion Problem
Simon Streicher, Willie Brink, Johan du Preez
We present a means of formulating and solving the well known structure-and-motion problem in computer vision with probabilistic graphical models. We model the unknown camera poses…
Graph Coloring: Comparing Cluster Graphs to Factor Graphs
Simon Streicher, Johan du Preez
We present a means of formulating and solving graph coloring problems with probabilistic graphical models. In contrast to the prevalent literature that uses factor graphs for this…