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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

Oxford English Dictionary

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Dictionary learning in stereo imaging

Ultrasound Tomography with Learned Dictionaries

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

Distributed multi-view image coding with learned dictionaries

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Spread spectrum for imaging techniques in radio interferometry

Spread spectrum for imaging techniques in radio interferometry and strings detection

Sparsity & [and] dictionaries - algorithms & [and] design

Learning bimodal structure in audio-visual data

Compressed sensing and redundant dictionaries

Distributed multi-view image coding with learned dictionaries

Dictionary learning in stereo imaging

Ultrasound Tomography with Learned Dictionaries

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

Spread spectrum for imaging techniques in radio interferometry and strings detection

Learning bimodal structure in audio-visual data

Compressed sensing and redundant dictionaries

Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras

Spread spectrum for imaging techniques in radio interferometry

Sparsity & [and] dictionaries - algorithms & [and] design