Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Abstract--A new approach to the design of wireless data broadcasting systems is introduced. The proposed approach is based on the mathematical analysis of the aforementioned system...
Christos Liaskos, Sophia G. Petridou, Georgios I. ...
Abstract— This paper deals with realization theory of socalled Nash systems, i.e. nonlinear systems the right-hand side of which is defined by Nash functions. A Nash function is...
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...