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TSP
2010
14 years 6 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
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...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
FGR
2011
IEEE
201views Biometrics» more  FGR 2011»
14 years 3 months ago
Sparse shape registration for occluded facial feature localization
Abstract— This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locati...
Fei Yang, Junzhou Huang, Dimitris N. Metaxas
CORR
2012
Springer
158views Education» more  CORR 2012»
13 years 7 months ago
Sparse grid quadrature on products of spheres
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 ...
Markus Hegland, Paul Leopardi
DCC
2011
IEEE
14 years 6 months ago
Video Compressed Sensing with Multihypothesis
The compressed-sensing recovery of video sequences driven by multihypothesis predictions is considered. Specifically, multihypothesis predictions of the current frame are used to...
Eric W. Tramel, James E. Fowler
ICIP
2001
IEEE
16 years 1 months ago
Rate-distortion optimized video coding considering frameskip
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...
Anthony Vetro, Huifang Sun, Yao Wang