There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
We propose methods for reducing the energy consumed by snoop requests in snoopy bus-based symmetric multiprocessor (SMP) systems. Observing that a large fraction of snoops do not ...
Andreas Moshovos, Gokhan Memik, Babak Falsafi, Alo...
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
On-chip coherence directories of today's multi-core systems are not energy efficient. Coherence directories dissipate a significant fraction of their power on unnecessary loo...
Pejman Lotfi-Kamran, Michael Ferdman, Daniel Crisa...