A generalized conditional gradient method and its connection to an iterative shrinkage method
Computational Optimization and Applications
Some First-Order Algorithms for Total Variation Based Image Restoration
Journal of Mathematical Imaging and Vision
Sparsity Regularization for Radon Measures
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
SparseFIS: data-driven learning of fuzzy systems with sparsity constraints
IEEE Transactions on Fuzzy Systems
Sparsity reconstruction in electrical impedance tomography: An experimental evaluation
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Convergence analysis of a proximal Gauss-Newton method
Computational Optimization and Applications
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In this paper, we consider nonlinear inverse problems where the solution is assumed to have a sparse expansion with respect to a preassigned basis or frame. We develop a scheme which allows to minimize a Tikhonov functional where the usual quadratic regularization term is replaced by a one-homogeneous (typically weighted ℓ p ) penalty on the coefficients (or isometrically transformed coefficients) of such expansions. For (p