Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom pr...
Henry Hoffmann, Jim Holt, George Kurian, Eric Lau,...
We study the hardware cost of implementing hash-tree based verification of untrusted external memory by a high performance processor. This verification could enable applications s...
Blaise Gassend, G. Edward Suh, Dwaine E. Clarke, M...
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...