Abstract. Collections play an important part in everyday life. Therefore, conceptual data models should support collection types to make data modeling as natural as possible for it...
Some fast nearest neighbor search (NNS) algorithms using metric properties have appeared in the last years for reducing computational cost. Depending on the structure used to store...
Abstract. In this paper we discuss sparse least squares support vector regressors (sparse LS SVRs) defined in the reduced empirical feature space, which is a subspace of mapped tr...
This paper explores the scalability of the Stream Processor architecture along the instruction-, data-, and thread-level parallelism dimensions. We develop detailed VLSI-cost and ...
The information flow property of Non-Interference was recently relaxed into Abstract NonInterference (ANI), a weakened version where attackers can only observe properties of data,...