Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose ...
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
This paper formalizes the semantics of trust and studies the transitivity of trust. On the Web, people and software agents have to interact with “strangers”. This makes trust ...
In the line of some earlier work done on belief dynamics, we an abstract model of belief propagation on a graph based on the methodology of the revision theory of truth. A modal la...