This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
Abstract. We address the problem of answering queries using expressive symmetric inter-schema constraints which allow to establish mappings between several heterogeneous informatio...
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
We develop a new passive image formation method capable of exploiting information about multiple scattering in the environment using measurements from a sparse array of receivers ...
In this paper, we study transmission schemes for a novel OFDMbased MIMO system which performs adaptive signal combining in radio-frequency (RF). Specifically, we consider the prob...