We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
We consider the problem of inferring the most likely social network given connectivity constraints imposed by observations of outbreaks within the network. Given a set of vertices ...
We consider the problem of scheduling dependent real-time tasks for overloads on a multiprocessor system, yielding best-effort timing assurance. The application/scheduling model in...
Piyush Garyali, Matthew Dellinger, Binoy Ravindran
For several reasons a database may not satisfy certain integrity constraints (ICs). However, most likely most of the information in it is still consistent with the ICs; and could ...
Leopoldo E. Bertossi, Loreto Bravo, Enrico Francon...