High-dimensional statistical inference deals with models in which the the number of parameters p is comparable to or larger than the sample size n. Since it is usually impossible ...
Sahand Negahban, Pradeep Ravikumar, Martin J. Wain...
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical ...
Arvid Lundervold, Torfinn Taxt, Nicolae Duta, Anil...
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...
Background: Copy number data are routinely being extracted from genome-wide association study chips using a variety of software. We empirically evaluated and compared four freely-...
Jeanette E. Eckel-Passow, Elizabeth J. Atkinson, S...