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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

Matrice par blocs

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Reduction to Condensed Forms for Symmetric Eigenvalue Problems on Multi-core Architectures

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Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures

Model-based compressive sensing

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

The effect of matrix characteristics on fibroblast proliferation in 3D gels