The growing use of mobile code in downloaded applications and servlets has increased interest in robust mechanisms for ensuring privacy and secrecy. Information flow control is in...
In this paper we propose a random set framework for learning linguistic models for prediction problems. We show how we can model prediction problems based on learning linguistic p...
: This paper presents a proposal to tackle the design and development of user interfaces for groupware applications. This proposal includes important design and implementation issu...
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...