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Some Recovery Conditions for Basis Learning by L1-Minimization

Rémi Gribonval, Karin Schnass

Many recent works have shown that if a given signal admits a sufficiently sparse representation in a given dictionary, then this representation is recovered by several standard optimization algorithms, in particular the convex

\ell^1

minimization approac ...

2008

Coordonnées orthogonales

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Chattez avec Graph Search

On the n-dimensional Dirichlet problem for isometric maps

Single or triple gradients?

Some Recovery Conditions for Basis Learning by L1-Minimization

A Notion of Glue Expressiveness for Component-Based Systems

Construction of wavelet bases that mimic the behaviour of some given operator - art. no. 67010S

Construction of Wavelet Bases That Mimic the Behaviour of Some Given Operator

Generic representations of orthogonal groups: the mixed functors

Enantioselective Palladium-Catalyzed Hydrosilylation of Styrene: Detailed Reaction Mechanism from First-Principles and Hybrid QM/MM Molecular Dynamics Simulations

Non-rigid registration of serial intra-operative images for automatic brain shift estimation

Multidomain pseudospectral computation of Maxwell's equations in 3-D general curvilinear coordinates

Generic representations of orthogonal groups: the mixed functors

A Notion of Glue Expressiveness for Component-Based Systems

On the n-dimensional Dirichlet problem for isometric maps

Single or triple gradients?

Some Recovery Conditions for Basis Learning by L1-Minimization

Construction of wavelet bases that mimic the behaviour of some given operator - art. no. 67010S

Construction of Wavelet Bases That Mimic the Behaviour of Some Given Operator

Enantioselective Palladium-Catalyzed Hydrosilylation of Styrene: Detailed Reaction Mechanism from First-Principles and Hybrid QM/MM Molecular Dynamics Simulations

Non-rigid registration of serial intra-operative images for automatic brain shift estimation

Multidomain pseudospectral computation of Maxwell's equations in 3-D general curvilinear coordinates