activity
20192022
most citedGraph Coloring: Comparing Cluster Graphs to Factor Graphs

8 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20222 cited

Incremental Inference on Higher-Order Probabilistic Graphical Models Applied to Constraint Satisfaction Problems

Simon Streicher

Probabilistic graphical models (PGMs) are tools for solving complex probabilistic relationships. However, suboptimal PGM structures are primarily used in practice. This dissertatio…

cs.LG20212 cited

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…

cs.CV20211 cited

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…

cs.LG20218 cited

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…

cs.IT2019

Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis

Simon Streicher, Carl Sandrock

Finding the source of a disturbance or fault in complex systems such as industrial chemical processing plants can be a difficult task and consume a significant number of engineerin…