In this paper, a hierarchical genetic algorithm for disparity estimation is presented. The goal, to estimate reliable disparity fields with low computational cost, is reached usin...
L. J. Luo, D. R. Clewer, David R. Bull, Cedric Nis...
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Congestion games—in which players strategically choose from a set of “resources” and derive utilities that depend on the congestion on each resource— are important in a wid...
Andrew Byde, Maria Polukarov, Nicholas R. Jennings
Abstract— The objective of this paper is the linear reconstruction of a vector, up to a unimodular constant, when all phase information is lost, meaning only the magnitudes of fr...
Bernhard G. Bodmann, Peter G. Casazza, Dan Edidin,...