Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
Abstract— In this paper we present the design and implementation of a space service that gives pervasive computing applications both a hierarchical and coordinate-based view of p...
Trace-driven simulation is an important technique used in the evaluation of computer architecture innovations. However using it for studying parallel computers and applications is...
Vision is an important sensor used for mobile robot navigation. One approach to localization which is based on vision is to compute camera egomotion with respect to base images. W...