Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Supervised learning of a parts-based model can be for-
mulated as an optimization problem with a large (exponen-
tial in the number of parts) set of constraints. We show how
thi...
M. Pawan Kumar, Andrew Zisserman, Philip H.S. Torr
In this paper, we tackle the problem of object detection and tracking in a new and challenging domain of wide area surveillance. This problem poses several challenges: large camera...
Quantified Constraint Satisfaction Problems (QCSPs) are CSPs in which some variables are universally quantified. For each possible value of such variables, we have to find ways to ...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
In this paper we present a mathematical programming formulation of the integer time budgeting problem for directed acyclic graphs. In particular, we formally prove that our constr...
Wei Jiang, Zhiru Zhang, Miodrag Potkonjak, Jason C...