Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Post-fabrication tuning for mitigating manufacturing variability is receiving a significant attention. To reduce leakage increase involved in performance compensation by body bia...
Abstract—Previous work has shown that CSMA-based protocols such as the IEEE 802.11 can yield flow starvation in multihop wireless networks. While prior protocol designs alleviat...
Ahmed Khattab, Ashutosh Sabharwal, Edward W. Knigh...
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...