We consider the problem of reconstructing a multidimensional and multivariate function f : R → R from the discretely and irregularly sampled responses of q linear shift-invariant filters. Unlike traditional approaches which reconstruct the function in some signal space V , our reconstruction is optimal in the sense of a plausibility criterion J . The reconstruction is either consistent with the...

We begin by analyzing, using basic physics considerations, under what conditions it becomes energetically favorable to use aggressive regenerative braking reach a lower speed over “coasting” where one relies solely on air drag slow down. then proceed reformulate the question as an optimization problem find velocity profile that maximizes battery charge. Making simplifying assumption battery-cha...

This paper aims to present a structured variational inference algorithm for switching linear dynamical systems (SLDSs) which was initially introduced by Pavlovic and Rehg [14]. Starting with the need for the variational approach, we proceed to the derivation of the generic (model-independent) variational update formulas which are obtained under the mean field assumption. This leads us to the de...