In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
The polyhedral model is extensively used for analyses and transformations of regular loop programs, one of the most important being automatic parallelization. The model, however, ...
This paper presents a new image-based modeling method that facilitates the recovery of accurate polyhedral models of architectural scenes. The method is particularly e ective becau...
Camillo J. Taylor, Paul E. Debevec, Jitendra Malik
In 2007, Eickmeyer et al. showed that the tree topologies outputted by the Neighbor-Joining (NJ) algorithm and the balanced minimum evolution (BME) method for phylogenetic reconstr...