In this demonstration we present BRRL, a library for making distributed main-memory applications fault tolerant. BRRL is optimized for cloud applications with frequent points of c...
Tuan Cao, Benjamin Sowell, Marcos Antonio Vaz Sall...
This demo shows how usage information buried in query logs can play a central role in data integration and data exchange. More specifically, our system U-Map uses query logs to g...
Hazem Elmeleegy, Jaewoo Lee, El Kindi Rezig, Moura...
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exp...
Horesh Ben Shitrit, Jerome Berclaz, Francois Fleur...
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wiraw...