We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Abstract-- Autonomous underwater vehicles are flexible mobile platforms for ocean sampling and surveillance missions. However, navigation of these vehicles in unstructured, highly ...
Abstract. In the context of image-guided TIPS (Transjugular, Intrahepatic, Portosystemic Shunt formation) surgery, the pose of a 3-dimensional model of the liver's vasculature...
Julien Jomier, Elizabeth Bullitt, Mark H. Van Horn...
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...