Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
In this work, we present the application of Generalized Linear Feedback Shift Registers (GLFSRs) for generation of patterns for pseudo-random memory Built-In SelfTest (BIST). Rece...
Michael Redeker, Markus Rudack, Thomas Lobbe, Dirk...
Abstract. In this paper, we generalize the previous formal de nitions of random-self-reducibility. We show that, even under our very general de nition, sets that are complete for a...
We consider (uniform) reductions from computing a function f to the task of distinguishing the output of some pseudorandom generator G from uniform. Impagliazzo and Wigderson [IW]...