Abstract. In this paper we present a scalable pointer analysis for embedded applications that is able to distinguish between instances of recursively defined data structures and e...
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
—This paper describes the design of a programmable coprocessor for Public Key Cryptography (PKC) on an FPGA. The implementation provides a very broad range of functions together ...
We propose a novel approach for improving level set seg-
mentation methods by embedding the potential functions
from a discriminatively trained conditional random field
(CRF) in...
Dana Cobzas (University of Alberta), Mark Schmidt ...
Recent advances on language based software toolkit generation enables performance driven exploration of embedded systems by exploiting the application behavior. There is a need fo...