Abstract. Cloud computing promises a cost effective enabling technology to outsource storage and massively parallel computations. However, existing approaches for provably secure ...
In the k-medoid problem, given a dataset P, we are asked to choose k points in P as the medoids. The optimal medoid set minimizes the average Euclidean distance between the points ...
Geospatial image data obtained by satellites and aircraft are increasingly important to a wide range of applications, such as disaster management, climatology, and environmental m...
Continuous analytics systems that enable query processing over steams of data have emerged as key solutions for dealing with massive data volumes and demands for low latency. Thes...
Sailesh Krishnamurthy, Michael J. Franklin, Jeffre...
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...