Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
Main memory cache performance continues to play an important role in determining the overall performance of object-oriented, object-relational and XML databases. An effective metho...
Most research to date on energy minimization in DSP processors has focuses on hardware solution. This paper examines the software-based factors affecting performance and energy co...
Abstract. The ability to cooperate on common tasks in a distributed setting is key to solving a broad range of computation problems ranging from distributed search such as SETI to ...
Chryssis Georgiou, Alexander Russell, Alexander A....
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...