Many real-time applications are designed to work in different operating modes each characterized by different functionality and resource demands. With each mode change, resource d...
Nikolay Stoimenov, Lothar Thiele, Luca Santinelli,...
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
The Coin Problem is the following problem: a coin is given, which lands on head with probability either 1/2 + or 1/2 - . We are given the outcome of n independent tosses of this co...
We consider k-median clustering in finite metric spaces and k-means clustering in Euclidean spaces, in the setting where k is part of the input (not a constant). For the k-means pr...
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...