Publications associées à Fast orthogonal sparse approximation algorithms over local dictionaries

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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

Fast orthogonal sparse approximation algorithms over local dictionaries

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Chattez avec Graph Search

Multi-Graph Learning of Spectral Graph Dictionaries

Transformation-Invariant Dictionary Learning for Classification with 1-Sparse Representations

LAYOUT ASSESSMENT METHOD AND SYSTEM

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

Learning of Structured Graph Dictionaries

Ultrasound Tomography with Learned Dictionaries

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

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

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

Algorithms and methods for sparse approximation in structured dictionaries

Multi-Graph Learning of Spectral Graph Dictionaries

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

LAYOUT ASSESSMENT METHOD AND SYSTEM

Transformation-Invariant Dictionary Learning for Classification with 1-Sparse Representations

Ultrasound Tomography with Learned Dictionaries

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

Algorithms and methods for sparse approximation in structured dictionaries

Learning of Structured Graph Dictionaries

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

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