Publications associées à A first-order primal-dual method with adaptivity to local smoothness

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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 first-order primal-dual method with adaptivity to local smoothness

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Chattez avec Graph Search

Joint image registration and reconstruction from compressed multi-view measurements

Joint image registration and reconstruction from compressed multi-view measurements

Convex computation of the region of attraction of polynomial control systems

Non-convex optimization for robust multi-view imaging

Non-convex optimization for robust multi-view imaging

To Convexify or Not? Regression with Clustering Penalties on Graphs

l0-deconvolution for compressive diffusion MRI

Use of Convex Model Approximations for Real-Time Optimization via Modifier Adaptation

Fixed-order H-infinity and H-2 Controller Design for Continuous-time Polytopic Systems: An LMI-based Approach

Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI

Convex computation of the region of attraction of polynomial control systems

Non-convex optimization for robust multi-view imaging

Fixed-order H-infinity and H-2 Controller Design for Continuous-time Polytopic Systems: An LMI-based Approach

Non-convex optimization for robust multi-view imaging

l0-deconvolution for compressive diffusion MRI

To Convexify or Not? Regression with Clustering Penalties on Graphs

Use of Convex Model Approximations for Real-Time Optimization via Modifier Adaptation

Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI

Joint image registration and reconstruction from compressed multi-view measurements

Joint image registration and reconstruction from compressed multi-view measurements