Publications associées à Scalable Convex Optimization Methods for Semidefinite Programming

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Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

Scalable Convex Optimization Methods for Semidefinite Programming

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Global Optimization for Image Restoration in Optical/IR Interferometry

Parallelizing Query Optimization on Shared-Nothing Architectures

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Sparse Representation of Signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Memetic Viability Evolution for Constrained Optimization

Global Optimization on an Interval

Demand-based discrete optimization

Scampi: a robust approximate message-passing framework for compressive imaging

Optimized Distributed Hyperparameter Search and Simulation for Lung Texture Classification in CT Using Hadoop

Scampi: a robust approximate message-passing framework for compressive imaging

Parallelizing Query Optimization on Shared-Nothing Architectures

Sparse Representation of Signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Global Optimization for Image Restoration in Optical/IR Interferometry

Demand-based discrete optimization

Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Memetic Viability Evolution for Constrained Optimization

Global Optimization on an Interval