Dictionary learning for sparse representation: A novel approach

M Sadeghi, M Babaie-Zadeh… - IEEE Signal Processing …, 2013 - ieeexplore.ieee.org
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix, Y, as the product of a dictionary, D, and a sparse coefficient matrix, X, as …

[引用][C] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - IEEE Signal Processing Letters, 2013 - infona.pl
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix, ${\bf Y} $, as the product of a dictionary, ${\bf D} $, and a sparse …

Dictionary Learning for Sparse Decomposition: A Novel Approach

M Sadeghi, M Babaie-Zadeh… - IEEE Signal Processing …, 2013 - hal.univ-grenoble-alpes.fr
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix,, as the product of a dictionary,, and a sparse coefficient matrix,, as …

[PDF][PDF] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - IEEE SIGNAL …, 2013 - academia.edu
A dictionary learning problem is a matrix factoriza-tion in which the goal is to factorize a
training data matrix,, as the product of a dictionary,, and a sparse coefficient matrix,, as …

[PDF][PDF] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - sharif.ir
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix, Y, as the product of a dictionary, D, and a sparse coefficient matrix, X, as …

Dictionary Learning for Sparse Decomposition: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - IEEE Signal Processing Letters, 2013 - hal.science
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix,, as the product of a dictionary,, and a sparse coefficient matrix,, as …

[PDF][PDF] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - sharif.edu
A dictionary learning problem is a matrix factorization in which the goal is to factorize a
training data matrix, Y, as the product of a dictionary, D, and a sparse coefficient matrix, X, as …

[PDF][PDF] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh… - IEEE SIGNAL …, 2013 - researchgate.net
A dictionary learning problem is a matrix factoriza-tion in which the goal is to factorize a
training data matrix,, as the product of a dictionary,, and a sparse coefficient matrix,, as …

[引用][C] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh… - IEEE Signal Processing …, 2013 - ui.adsabs.harvard.edu
Dictionary Learning for Sparse Representation: A Novel Approach - NASA/ADS Now on home
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[PDF][PDF] Dictionary Learning for Sparse Representation: A Novel Approach

M Sadeghi, M Babaie-Zadeh, C Jutten - IEEE SIGNAL PROCESSING …, 2013 - hal.science
A dictionary learning problem is a matrix factoriza-tion in which the goal is to factorize a
training data matrix,, as the product of a dictionary,, and a sparse coefficient matrix,, as …