Publications associées à Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

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Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

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Sparse diffusion LMS for distributed adaptive estimation

Equivalence of synthesis and atomic formulations of sparse recovery

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

A Constrained Latent Variable Model

Hyperspectral Image Compressed Sensing Via Low-Rank And Joint-Sparse Matrix Recovery

Geodesic Active Fields

Image Reconstruction from Compressed Linear Measurements with Side Information

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

On Variable Density Compressive Sampling

Efficient Image Reconstruction Under Sparsity Constraints with Application to MRI and Bioluminescence Tomography

Geodesic Active Fields

Hyperspectral Image Compressed Sensing Via Low-Rank And Joint-Sparse Matrix Recovery

A Constrained Latent Variable Model

Image Reconstruction from Compressed Linear Measurements with Side Information

Sparse diffusion LMS for distributed adaptive estimation

Equivalence of synthesis and atomic formulations of sparse recovery

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

On Variable Density Compressive Sampling

Efficient Image Reconstruction Under Sparsity Constraints with Application to MRI and Bioluminescence Tomography