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» Sparse Recovery Using Sparse Random Matrices
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ICASSP
2011
IEEE
14 years 1 months ago
Efficient image reconstruction under sparsity constraints with application to MRI and bioluminescence tomography
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
Matthieu Guerquin-Kern, Jean-Charles Baritaux, Mic...
CISS
2010
IEEE
14 years 1 months ago
On the LASSO and Dantzig selector equivalence
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
Muhammad Salman Asif, Justin K. Romberg
CISS
2008
IEEE
15 years 4 months ago
Information theory based estimator of the number of sources in a sparse linear mixing model
—In this paper we present an Information Theoretic Estimator for the number of sources mutually disjoint in a linear mixing model. The approach follows the Minimum Description Le...
Radu Balan
AAAI
2004
14 years 11 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
IJON
2006
78views more  IJON 2006»
14 years 10 months ago
Improving self-organization of document collections by semantic mapping
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...
Renato Fernandes Corrêa, Teresa Bernarda Lud...