Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Abstract. We present our results of the conceptual design and the implementation of ubiquitous computing applications using smart identification technologies. First, we describe su...
—Power has recently been recognized as one of the major obstacles in fielding a Peta-FLOPs class system. To reach Exa-FLOPs, the challenge will certainly be compounded. In this ...
James H. Laros, Kevin T. Pedretti, Suzanne M. Kell...
We suggest a general paradigm of using large-scale distributed computation to solve difficult problems, but where humans can act as agents and provide candidate solutions. We are e...
Craig Gentry, Zulfikar Ramzan, Stuart G. Stubblebi...