We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
In this paper, we study the structure from motion problem as a constrained nonlinear least squares problem which minimizes the so called reprojection error subject to all constrai...
In this paperweconsidertheproblemof schedulingdifferentclasses of customerson multiple distributed serversto minimize an objective function basedon per-classmeanresponsetimes.This...
Abstract. We give a generic construction of an optimal hitting set generator (HSG) from any good “reconstructive” disperser. Past constructions of optimal HSGs have been based ...
In this paper, we study the problems of resource and performance management in channelized wireless networks. For identifying research issues systematically, we propose a research...