We propose LAZY arc-reversal with variable elimination (LAZY-ARVE) as a new approach to probabilistic inference in Bayesian networks (BNs). LAZY-ARVE is an improvement upon LAZY ar...
In this work we improve top-down min-cut placers in the context of timing closure. Using the concept of boosting factors, we adjust net weights according to net spans, so as to re...
This paper investigates the combination of word-alignments computed with the competitive linking algorithm and well-established IBM models. New training methods for phrase-based st...
Companies in the metal industry want to find solutions for increasing the quality of service and productivity of the operation, but it is not an easy task to do, especially if the...
This paper presents a novel blur tolerant decorrelation scheme for local phase quantization (LPQ) texture descriptor. As opposed to previous methods, the introduced model can be a...