A short Tutorial on Monte Carlo Methods in Vision and Robotics
Prof. Frank Dellaert, Georgia Institute of Technology, USA
October 26, 13:00–16:30 at the Montefiore Institute, ULg
Abstract Approximate inference by sampling from an appropriately constructed posterior has recently seen a dramatic increase in popularity in both the robotics and computer vision community. I will give a short, hands-on tutorial on a number of approaches in which we have used Sequential Monte Carlo methods and Markov chain Monte Carlo sampling to solve a variety of difficult and challenging inference problems. I will end with sampling over variable dimension state spaces to perform automatic model selection, which will expose the audience to inference in infinite spaces.
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For registration and inquires, email J. Piater by October 19.