A Guided Gaussian-Dirichlet Random Field for Scientist-in-the-Loop Inference in Underwater Robotics
Chad R. Samuelson,Joshua G. Mangelson,Chad R. Samuelson,Joshua G. Mangelson
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 of such Dirichlet-based VTM algorithms. We propose the Guided Gaussian-Dirichlet Random Field (GGDRF...
