Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times...
— The worst-case delay/power of function units has been used in traditional high level synthesis to facilitate design space exploration. As technology scales to nanometer regime,...
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
We study diagnosis of segments on speedpaths that fail the timing constraint at the post-silicon stage due to manufacturing variations. We propose a formal procedure that is appli...