We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
Conducting research using the web is often an iterative process of collecting, comparing and contrasting information. Not surprisingly, web-based research tasks habitually span mu...
Abstract—SAT-based ATPG turned out to be a robust alternative to classical structural ATPG algorithms such as FAN. The number of unclassified faults can be significantly reduce...
We present a framework for accelerating interactive rendering, grounded in psychophysical models of visual perception. This framework is applicable to multiresolution rendering te...
Abstract. We present a novel algorithm for interface generation of software components. Given a component, our algorithm uses learning techniques to compute a permissive interface ...