In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
Emerging VLSI technologies and platforms are giving rise to systems with inherently high potential for runtime failure. Such failures range from intermittent electrical and mechan...
There is a significant need for data integration capabilities in the scientific domain, which has manifested itself as products in the commercial world as well as academia. Howeve...
Brenton Louie, Landon Detwiler, Nilesh N. Dalvi, R...
We show the practical feasibility of monitoring complex security properties using a runtime monitoring approach for metric first-order temporal logic. In particular, we show how ...