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» Sparse Image Reconstruction using Sparse Priors
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139
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ICIP
2009
IEEE
16 years 4 months ago
Monotone Operator Splitting For Optimization Problems In Sparse Recovery
This work focuses on several optimization problems involved in recovery of sparse solutions of linear inverse problems. Such problems appear in many fields including image and sig...
142
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Computationally efficient regularized acoustic imaging
Sparse recovery techniques have been shown to produce very accurate acoustic images, significantly outperforming traditional deconvolution approaches. However, so far these propo...
Flavio P. Ribeiro, Vitor H. Nascimento
109
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Adaptive search for sparse targets with informative priors
ACT This works considers the problem of efficient energy allocation of resources in a continuous fashion in determining the location of targets in a sparse environment. We extend ...
Gregory Newstadt, Eran Bashan, Alfred O. Hero III
145
Voted
ECCV
2010
Springer
15 years 8 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
117
Voted
ISSAC
2005
Springer
115views Mathematics» more  ISSAC 2005»
15 years 9 months ago
Algorithms for the non-monic case of the sparse modular GCD algorithm
Let G = (4y2 + 2z)x2 + (10y2 + 6z) be the greatest common divisor (gcd) of two polynomials A, B ∈   [x,y, z]. Because G is not monic in the main variable x, the sparse modular ...
Jennifer de Kleine, Michael B. Monagan, Allan D. W...