We present the algorithms used in MCVETO (Machine-Code VErification TOol), a tool to check whether a stripped machinecode program satisfies a safety property. The verification p...
Aditya V. Thakur, Junghee Lim, Akash Lal, Amanda B...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Virtual machines provide flexible, powerful execution environments for Grid computing, offering isolation and security mechanisms complementary to operating systems, customization...
Ivan Krsul, Arijit Ganguly, Jian Zhang, José...