Publications associées à A Fast Wavelet-Based Reconstruction Method for Magnetic Resonance Imaging

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To Convexify or Not? Regression with Clustering Penalties on Graphs

Volkan Cevher, Luca Baldassarre, Marwa El Halabi

We consider minimization problems that are compositions of convex functions of a vector

\x \in\reals^N

with submodular set functions of its support (i.e., indices of the non-zero coefficients of

\x

). Such problems are in general difficult for large

N

...

IEEE2013

A Fast Wavelet-Based Reconstruction Method for Magnetic Resonance Imaging

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Chattez avec Graph Search

PURIFY: A new algorithmic framework for next-generation radio-interferometric imaging

Scalable sparse covariance estimation via self-concordance

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

Blind Sensor Calibration in Sparse Recovery

Non-convex optimization for robust multi-view imaging

Non-convex optimization for robust multi-view imaging

l0-deconvolution for compressive diffusion MRI

Gabor dual windows using convex optimization

Direct data-driven design of sparse controllers

To Convexify or Not? Regression with Clustering Penalties on Graphs

Non-convex optimization for robust multi-view imaging

PURIFY: A new algorithmic framework for next-generation radio-interferometric imaging

Scalable sparse covariance estimation via self-concordance

Blind Sensor Calibration in Sparse Recovery

Blind Sensor Calibration in Sparse Recovery Using Convex Optimization

Non-convex optimization for robust multi-view imaging

Direct data-driven design of sparse controllers

Gabor dual windows using convex optimization

To Convexify or Not? Regression with Clustering Penalties on Graphs

l0-deconvolution for compressive diffusion MRI