This paper addresses the problem of robust optimal multi-view triangulation. We propose an abstract framework, as well as a practical algorithm, which finds the best 3D reconstruc...
Corners and curves are important image features in many vision-based applications. Corners are usually more stable and easier to match than curves,while curves contain richer info...
Abstract—In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that m...
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...