The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...
This paper presents a specification-driven approach to test automation for GUI-based JAVA programs as an alternative to the use of capture/replay. The NetBeans Jemmy library provi...
In this paper, we evaluate the dependencies between tools, data and environment in process design kits, and present a framework for systematically analyzing the quality of the des...
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. Our basic approach is to learn a large number of rules and record ...