Chad R. Samuelson

A Guided Gaussian-Dirichlet Random Field for Scientist-in-the-Loop Inference in Underwater Robotics

Visual topic modeling (VTM) provides key insight into data sets based on learned semantic topic models. The Gaussian-Dirichlet Random Field (GDRF), a state-of-the-art VTM technique, models these semantic topics in continuous space as densities. However, ambiguity in learned topics is a disadvantage…