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» Graphical Models Concepts in Compressed Sensing
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CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 3 months ago
Graphical Models Concepts in Compressed Sensing
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focu...
Andrea Montanari
CORR
2008
Springer
234views Education» more  CORR 2008»
13 years 4 months ago
Bayesian Compressive Sensing via Belief Propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
Dror Baron, Shriram Sarvotham, Richard G. Baraniuk
ICASSP
2011
IEEE
12 years 8 months ago
Multi image super resolution using compressed sensing
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to...
Torsten Edeler, Kevin Ohliger, Stephan Hussmann, A...
ICASSP
2010
IEEE
13 years 4 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
VR
2008
IEEE
188views Virtual Reality» more  VR 2008»
13 years 11 months ago
A Universal Virtual Locomotion System: Supporting Generic Redirected Walking and Dynamic Passive Haptics within Legacy 3D Graphi
In this paper we introduce a virtual locomotion system that allows navigation within any large-scale virtual environment (VE) by real walking. In contrast to [5] we have developed...
Frank Steinicke, Timo Ropinski, Gerd Bruder, Klaus...