A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Multi-atlas segmentation has been widely applied in medical image analysis. With deformable registration, this technique realizes label transfer from pre-labeled atlases to unknow...
With the increasing size and sophistication of circuits and specifically in the presence of IP blocks, new wirelength estimation methods are needed in the design flow of large-sca...
Taraneh Taghavi, Ani Nahapetian, Majid Sarrafzadeh
Abstract--Given a correlated Gaussian signal, may a chisquared law of probability always be used to describe a spectrogram coefficient distribution? If not, would a "chi-squar...
This paper proves large-system asymptotic normality of the output of a family of linear multiuser receivers that can be arbitrarily well approximated by polynomial receivers. This ...