Reinforcement learning addresses the dilemma between exploration to find profitable actions and exploitation to act according to the best observations already made. Bandit proble...
In this paper, we present a novel PDE based error concealment algorithm. We formulate the error concealment problem as a sequential optimization problem with both smoothing and or...
We present optimization techniques for high level equational programs that are generalizations of affine control loops (ACLs). Significant parts of the SpecFP and PerfectClub benc...
Direct implementations of bilateral filtering show O(r2 ) computational complexity per pixel, where r is the filter window radius. Several lower complexity methods have been devel...
Wei Yu, Franz Franchetti, James C. Hoe, Yao-Jen Ch...
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...