This paper proposes an efficient online method that trains a classifier with many conjunctive features. We employ kernel computation called kernel slicing, which explicitly consid...
Emerging scale-out workloads require extensive amounts of computational resources. However, data centers using modern server hardware face physical constraints in space and power,...
Michael Ferdman, Almutaz Adileh, Yusuf Onur Ko&cce...
—As process technology shrinks devices, circuits experience accelerated wearout. Monitoring wearout will be critical for improving the efficiency of error detection and correctio...
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the speed and scalability of planning at the cost of finding a step-optimal parallel...
Nathan Robinson, Charles Gretton, Duc Nghia Pham, ...