Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
Abstract. We consider the problem of defining the information leakage in interactive systems where secrets and observables can alternate during the computation. We show that the in...
We present an algorithm which, given a deformation with section of a reduced plane curve singularity, computes equations for the equisingularity stratum (that is, the µ-constant s...
Antonio Campillo, Gert-Martin Greuel, Christoph Lo...
—When parallel programs are executed on multiprocessors with private caches, a set of data may be repeatedly used and modified by different threads. Such data sharing can often r...
The research field of transportation demand forecasting has started to focus on disaggregate travel behavior and micro-simulation models. To create data infrastructure, disaggrega...
Ali Frihida, Danielle J. Marceau, Marius Thé...