Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
This paper addresses the problem of estimating the epipolar geometry from apparent contours in two special cases: under weak perspective and for circular motion. An appropriate pa...
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
The lifting scheme provides a general and flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. In this paper we propose an adaptiv...
We investigate the search properties of pre-evolutionary random catalytic reaction networks, where reactions might be reversible, and replication is not taken for granted. Since it...