Parametric models of shape and texture such as Active Appearance Models (AAMs) are diverse tools for deformable object appearance modeling and have found important applications in...
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
In this paper we introduce a novel approach to single view reconstruction using shape grammars. Our approach consists in modeling architectural styles using a set of basic shapes ...
VLSI engineers have traditionally used a variety of CAD analysis tools (e.g. SPICE) to deal with variability. As we go into deep sub micron issues, the analysis is becoming harder...
Sani R. Nassif, Vijay Pitchumani, N. Rodriguez, De...
Previous studies have demonstrated that encoding a Bayesian network into a SAT-CNF formula and then performing weighted model counting using a backtracking search algorithm can be...