Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
In this paper we present a model-based algorithm for the estimation of 3D motion and the analysis of facial expressions of a speaking person. A set of facial animation parameters ...
Software reliability models are an important tool in quality management and release planning. There is a large number of different models that often exhibit strengths in differen...
We show how fault injection together with recent advances in stochastic model checking can be combined to form a crucial ingredient for improving quantitative safety analysis. Base...
This article formalises the dual problem to model-based diagnosis (MBD), i.e., generating tests to isolate multiple simultaneous faults. Using a standard propositional MBD framewo...