In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
This paper presents a first set of experiments to integrate a realistic electro-mechanical model of a beating heart into simulated real-time three-dimensional (RT3D) ultrasound da...
Qi Duan, Philippe Moireau, Elsa D. Angelini, Domin...
For future scenarios of power system operations, like the self healing grid vision, system and communications architecture are key. Applications will require unlimited access to a...