We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Probabilistic arithmetic, where the ith output bit of addition and multiplication is correct with a probability pi, is shown to be a vehicle for realizing extremely energy-efficie...
Jason George, B. Marr, Bilge E. S. Akgul, Krishna ...
Abstract. The resource limited nature of WSNs require that protocols implemented on these networks be energy-efficient, scalable and distributed. This paper presents an analysis of...
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
While extensive studies have been carried out in the past several years for many sensor applications, they cannot be applied to the network with extremely low and intermittent con...