Publications associées à Structured Sparse Coding for Image Denoising or Pattern Detection

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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

Structured Sparse Coding for Image Denoising or Pattern Detection

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Methods and systems for noise resilient, pin-efficient and low power communications with sparse signaling codes

Method, apparatus and computer program product for determining the location of a plurality of speech sources

Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction

Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs

Sparse spectral factorization: Unicity and Reconstruction Algorithms

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

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

Method, apparatus and computer program product for determining the location of a plurality of speech sources

Methods and systems for noise resilient, pin-efficient and low power communications with sparse signaling codes

Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction

Sparse spectral factorization: Unicity and Reconstruction Algorithms

Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs

A Signal Processing Approach to Generalized 1-D Total Variation

Trends in Bioimaging and Signal Processing

Direct-Ambient Decomposition and Upmix of Surround Signals

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

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