Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
—In this paper, we investigate the reliable data transport problem in underwater sensor networks. Underwater sensor networks are significantly different from terrestrial sensor ...
—We propose a new probabilistic coverage protocol (denoted by PCP) that considers probabilistic sensing models. PCP is fairly general and can be used with different sensing model...
Rapidly-spreading malicious software is an important threat on today’s computer networks. Most solutions that have been proposed to counter this threat are based on our ability ...
Due to the complexity associated with developing parallel applications, scientists and engineers rely on highlevel software libraries such as PETSc, ScaLAPACK and PESSL to ease th...
Pavan Balaji, Darius Buntinas, Satish Balay, Barry...