A sparse approximation is a sparse vector that approximately solves a system of equations. Techniques for finding sparse approximations have foundâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Jian-Feng Cai, Hui Ji, Chaoqiang Liu, Zuowei Shen
- 2009 IEEE Conference on Computer Vision andâ€¦
- 2009

Restoring a clear image from a single motion-blurred image due to camera shake has long been a challenging problem in digitalâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- Mehrdad Yaghoobi, Thomas Blumensath, Mike E. Davies
- IEEE Transactions on Signal Processing
- 2009

In order to find sparse approximations of signals, an appropriate generative model for the signal class has to be known. If theâ€¦Â (More)

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Highly Cited

2008

Highly Cited

2008

- Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
- 2008 IEEE Conference on Computer Vision andâ€¦
- 2008

This paper addresses the problem of generating a super-resolution (SR) image from a single low-resolution input image. Weâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- Joel A. Tropp, Anna C. Gilbert, Martin Strauss
- Signal Processing
- 2006

A simultaneous sparse approximation problem requests a good approximation of several input signals at once using different linearâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- Joel A. Tropp
- Signal Processing
- 2006

A simultaneous sparse approximation problem requests a good approximation of several input signals at once using different linearâ€¦Â (More)

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Highly Cited

2006

Highly Cited

2006

- David L. Donoho, Michael Elad, Vladimir N. Temlyakov
- IEEE Transactions on Information Theory
- 2006

Overcomplete representations are attracting interest in signal processing theory, particularly due to their potential to generateâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- Joel A. Tropp, Anna C. Gilbert, Martin Strauss
- Proceedings. (ICASSP '05). IEEE Internationalâ€¦
- 2005

A simple sparse approximation problem requests an approximation of a given input signal as a linear combination of T elementaryâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Joel A. Tropp
- IEEE Transactions on Information Theory
- 2004

This article presents new results on using a greedy algorithm, orthogonal matching pursuit (OMP), to solve the sparseâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Joel A. Tropp, J. A. Tropp
- 2004

Subset selection and sparse approximation problems request a good approximation of an input signal using a linear combination ofâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Federico Girosi
- Neural Computation
- 1998

This article shows a relationship between two different approximation techniques: the support vector machines (SVM), proposed byâ€¦Â (More)

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