Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
Network tomography establishes linear relationships between the characteristics of individual links and those of end-toend paths. It has been proved that these relationships can b...
Denisa Ghita, Katerina J. Argyraki, Patrick Thiran
Video matting, or layer extraction, is a classic inverse problem in computer vision that involves the extraction of foreground objects, and the alpha mattes that describe their op...
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
High-level, or holistic, scene understanding involves
reasoning about objects, regions, and the 3D relationships
between them. This requires a representation above the
level of ...