Embedded DRAM (eDRAM) power-energy estimation is presented for system-on-a-chip (SOC) applications. The main feature is the signal swing based analytic (SSBA) model, which improve...
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
Abstract. In this paper we present, evaluate, and discuss two multiscale schemes for modelling grey-level appearance in a deformable model for the segmentation of abdominal aortic ...
Reassembly of fragmented objects from a collection of randomly mixed fragments is a common problem in classical forensics. In this paper we address the digital forensic equivalent...