The graphical depiction of uncertainty information is emerging as a problem of great importance. Scientific data sets are not considered complete without indications of error, acc...
Kristin Potter, Joe Kniss, Richard F. Riesenfeld, ...
Quality assessment plays a crucial role in data analysis. In this paper, we present a reduced-reference approach to volume data quality assessment. Our algorithm extracts importan...
- Many exciting, emerging applications require that a group of agents share a coherent view of the world given spatial distribution, incomplete and uncertain sensors, and communica...
Robin Glinton, Katia P. Sycara, David Scerri, Paul...
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...