In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
The integration phase of real-time COTS-based systems is often problematic because when multiple tasks run concurrently, the interference at the bus level between cache fetching a...
The growing complexity of distributed biomedical application requirements present new challenges to the representation of software architectural analysis and design. This is the c...
We investigate the problem of source separation in images in the Bayesian framework using the color channel dependencies. As a case in point we consider the source separation of co...
It is often the case that safety-critical systems have to be reconfigured during operation because of issues such as changes in the system's operating environment or the fail...