Publications associées à Basis Identification from Random Sparse Samples

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Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

-minimisation. The problem can also be seen as factorising a

\ddim \times \nsig

matrix $Y=(y_1 \ldots y_\nsig), , y_n\in \R^\ ...

Institute of Electrical and Electronics Engineers2010

Basis Identification from Random Sparse Samples

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Compress-and-restart block Krylov subspace methods for Sylvester matrix equations

Solving Rank-Structured Sylvester And Lyapunov Equations

MATHICSE Technical Report : Solving rank structured Sylvester and Lyapunov equations

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Multi-Graph Learning of Spectral Graph Dictionaries

Truncated low-rank methods for solving general linear matrix equations

Compressed Sensing of Memoryless Sources

Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding

Greedy Dictionary Selection for Sparse Representation

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Compress-and-restart block Krylov subspace methods for Sylvester matrix equations

MATHICSE Technical Report : Solving rank structured Sylvester and Lyapunov equations

Ultrafast ultrasound imaging as an inverse problem: Matrix-free sparse image reconstruction

Truncated low-rank methods for solving general linear matrix equations

Greedy Dictionary Selection for Sparse Representation

Multi-Graph Learning of Spectral Graph Dictionaries

Compressed Sensing of Memoryless Sources

Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Solving Rank-Structured Sylvester And Lyapunov Equations