Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Network performance measurement and prediction is very important to predict the running time of high performance computing applications. The LogP model family has been proven to b...
We propose a method to capture crosstalk-induced noisy waveform for crosstalk-aware static timing analysis. The effects of capacitive coupling noise on timing are conventionally m...