In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
Most multi-camera vision applications assume a single common color response for all cameras. However different cameras--even of the same type--can exhibit radically different colo...
We give a O( log n)-approximation algorithm for sparsest cut, edge expansion, balanced separator, and graph conductance problems. This improves the O(log n)-approximation of Leig...
— In this paper, an efficient linear time algorithm TACO is proposed for the first time to minimize the worst case clock skew in the presence of on-chip thermal variation. TACO...
In this paper we describe a software pipelining framework, CALiBeR (Cluster Aware Load Balancing Retiming Algorithm), suitable for compilers targeting clustered embedded VLIW proc...