interpretation. In the context of stream parallelism, this analysis identi es an amount of input data for which predicate execution can safely wait without danger of introducing de...
Moreno Falaschi, Patrick Hicks, William H. Winsbor...
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
—This paper addresses the problem of dense disparity estimation from a pair of color stereo images. Based on a convex set theoretic formulation, the stereo matching problem is ca...
Abstract. This paper describes a new approach for parameter optimization that uses a novel representation for the parameters to be optimized. By using genetic programming, the new ...
In this paper we present an infeasible path-following interiorpoint algorithm for solving linear programs using a relaxed notion of the central path, called quasicentral path, as ...