We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Abstract— This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locati...
This paper examines sparse grid quadrature on weighted tensor products (wtp) of reproducing kernel Hilbert spaces on products of the unit sphere S2 . We describe a wtp quadrature ...
The compressed-sensing recovery of video sequences driven by multihypothesis predictions is considered. Specifically, multihypothesis predictions of the current frame are used to...
The general problem of optimized video encoding has received a great deal of attention in recent years. This paper focuses on the optimization of video coding with frameskip. We p...