We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
We explore join optimizations in the presence of both timebased constraints (sliding windows) and value-based constraints (punctuations). We present the first join solution named...
Most fault-tolerant systems are designed to stop faulty programs before they write permanent data or communicate with other processes. This property (halt-on-failure) forms the co...
A peer-to-peer (P2P) data management system consists essentially of a network of peer systems, each maintaining full autonomy over its own data resources. Data exchange between pe...
Data provenance is essential in applications such as scientific computing, curated databases, and data warehouses. Several systems have been developed that provide provenance fun...