We present exact characterizations of structures on which the greedy algorithm produces optimal solutions. Our characterization, which we call matroid embeddings, complete the par...
Paul Helman, Bernard M. E. Moret, Henry D. Shapiro
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
In current level set image segmentation methods, the number of regions is assumed to known beforehand. As a result, it remains constant during the optimization of the objective fun...
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
This paper is concerned with “open kernel” geometric modelling systems. It uses industrial needs to identify requirements for the geometric objects of a proposed interface. Th...
Alan E. Middleditch, Chris Reade, Abel J. P. Gomes