We describe results of a case study whose intent was to determine whether new techniques for hardware/software partitioning of an application’s binary are competitive with parti...
Greg Stitt, Frank Vahid, Gordon McGregor, Brian Ei...
The problem of sharing the cost of a common infrastructure among a set of strategic and cooperating players has been the subject of intensive research in recent years. However, mos...
This paper presents Bayesian edge inference (BEI), a
single-frame super-resolution method explicitly grounded in
Bayesian inference that addresses issues common to existing
meth...
Bryan S. Morse, Dan Ventura, Kevin D. Seppi, Neil ...
This paper presents a new algorithm for reducing quantization artifacts in transform coded images. For transform coded signals, we analytically show that one can determine linear ...
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...