Fast Exact Bayesian Inference for High-Dimensional Models
AP4ISR team, Institute of Systems and Robotics (ISR) Dept. of Electrical & Computer Eng., University of Coimbra. Pinhal de Marrocos, Polo II, 3030-290 COIMBRA, Portugal
Workshop on Unconventional computing for Bayesian inference in Intelligent Robots and Systems (IROS), 2015
In this text, we present the principles that allow the tractable implementation of exact inference processes concerning a group of widespread classes of Bayesian generative models, which have until recently been deemed as intractable whenever formulated using high-dimensional joint distributions. We will demonstrate the usefulness of such a principled approach with an example of real-time OpenCL implementation using GPUs of a full-fledged, computer vision-based model to estimate gaze direction in human-robot interaction (HRI).
September 26, 2015 by hgpu