In this paper, we present a new framework to compress the geometry of images. This framework generalizes the standard quad partitioning approaches in compression of image geometry ...
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
— Localisation is one of the most important tasks to be accomplished in order to realize the complete autonomy of a mobile robot. In this paper, a new strategy for global localis...
Andrea Gasparri, Stefano Panzieri, Federica Pascuc...
We present a novel technique CLIP for optimizing both the height and width of CMOS cell layouts in the two-dimensional (2D) style. CLIP is based on integer-linear programming (ILP...
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...