We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
: In this paper, functioning and interaction of distributed devices and concurrent algorithms are analyzed in the context of the theory of algorithms. Although different systems in...
A network is k-connected if it remains connected after the removal of any k - 1 of its nodes. Assume that n sensors, modeled here as (omni)directional antennas, are dropped random...
In this paper, we study the effect of using or disengaging the RTS/CTS dialogue in IEEE 802.11 DCF MAC protocol incorporating the realistic condition under which carrier sensing, ...
In this paper we present Discriminative Random Fields (DRF), a discriminative framework for the classification of natural image regions by incorporating neighborhood spatial depe...