This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
Dynamic functional imaging promises powerful tools for the visualization and elucidation of important diseasecausing biological processes, where the pixels often represent a compo...
Li Chen, Tsung-Han Chan, Peter L. Choyke, Chong-Yu...
—This paper proposes HELP://, a simple light-weight protocol that runs over HTTP and is used to disseminate information from a server(s) to its clients during the time of a crisi...