—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
—Aggressive technology scaling to 45nm and below introduces serious reliability challenges to the design of microprocessors. Since a large fraction of chip area is devoted to on-...
Amin Ansari, Shantanu Gupta, Shuguang Feng, Scott ...