This is the accepted version of the article. The final publication is available at link.springer.com. http://www.springerlink.com/content/e0r61416446277w0
In this paper we propose a Group-Sparse Representation based method with applications to Face Recogn...
This paper introduces a novel approach for recovering sparse signals using sorted L1/L2 minimization...
This paper considers compressed sensing and affine rank minimization in both noiseless and noisy cas...
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, 14-19 ...
(c)2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
In this work we propose and analyze a novel approach for recovering group sparse signals, which aris...
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that ap-proximates the sparse solutions...
In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover block sparse...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The two major approaches to sparse recovery are L_1-minimization and greedy methods. Recently, Neede...
Group-based sparsity models are proven instrumental in linear regression problems for recovering sig...
AbstractThis paper explores numerically the efficiency of ℓ1 minimization for the recovery of sparse...
International audienceThe paper deals with the problem of finding sparse solutions to systems of pol...
Compressed sensing, also known as compressive sampling, is an approach to the measurement of signals...
This paper considers compressed sensing and affine rank minimization in both noiseless and noisy cas...
In this paper we propose a Group-Sparse Representation based method with applications to Face Recogn...
This paper introduces a novel approach for recovering sparse signals using sorted L1/L2 minimization...
This paper considers compressed sensing and affine rank minimization in both noiseless and noisy cas...
IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Dallas, TX, 14-19 ...
(c)2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for ...
In this work we propose and analyze a novel approach for recovering group sparse signals, which aris...
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that ap-proximates the sparse solutions...
In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover block sparse...
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The two major approaches to sparse recovery are L_1-minimization and greedy methods. Recently, Neede...
Group-based sparsity models are proven instrumental in linear regression problems for recovering sig...
AbstractThis paper explores numerically the efficiency of ℓ1 minimization for the recovery of sparse...
International audienceThe paper deals with the problem of finding sparse solutions to systems of pol...
Compressed sensing, also known as compressive sampling, is an approach to the measurement of signals...
This paper considers compressed sensing and affine rank minimization in both noiseless and noisy cas...
In this paper we propose a Group-Sparse Representation based method with applications to Face Recogn...
This paper introduces a novel approach for recovering sparse signals using sorted L1/L2 minimization...
This paper considers compressed sensing and affine rank minimization in both noiseless and noisy cas...
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