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» Sparse Recovery Using Sparse Random Matrices
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CVPR
2012
IEEE
13 years 8 days ago
Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh
CORR
2010
Springer
172views Education» more  CORR 2010»
14 years 10 months ago
The MUSIC Algorithm for Sparse Objects: A Compressed Sensing Analysis
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
Albert Fannjiang
103
Voted
P2P
2010
IEEE
207views Communications» more  P2P 2010»
14 years 8 months ago
Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing
—In this paper we face the following problem: how to provide each peer local access to the full information (not just a summary) that is distributed over all edges of an overlay ...
Rossano Gaeta, Marco Grangetto, Matteo Sereno
ECCV
2008
Springer
15 years 11 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICASSP
2010
IEEE
14 years 10 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos