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139
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
103
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
We consider camera self-calibration, i.e. the estimation of parameters for camera sensors, in the setting of a visual sensor network where the sensors are distributed and energy-c...
138
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper introduces an algorithm to approximately find optimal wireless networks in presence of fading. Joint optimization of application level rates, routes, link capacities, ...
101
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
In this paper, we propose a Bayesian model and a Monte Carlo Markov chain (MCMC) algorithm for reconstructing images that consist of only few non-zero pixels. An appropriate distr...
107
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
In this work we propose a methodology for document reconstruction based on dynamic programming and a modified version of the Prim’s algorithm. Firstly, we use polygonal approxi...