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» Optimal Denoising in Redundant Representations
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GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 27 days ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
ICASSP
2009
IEEE
14 years 2 months ago
Quadtree structured restoration algorithms for piecewise polynomial images
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
Adam Scholefield, Pier Luigi Dragotti
ICPR
2008
IEEE
14 years 9 months ago
EK-SVD: Optimized dictionary design for sparse representations
Sparse representations using overcomplete dictionaries are used in a variety of field such as pattern recognition and compression. However, the size of dictionary is usually a tra...
Raazia Mazhar, Paul D. Gader
JUCS
2006
87views more  JUCS 2006»
13 years 7 months ago
Eliminating Redundant Join-Set Computations in Static Single Assignment
: The seminal algorithm developed by Ron Cytron, Jeanne Ferrante and colleagues in 1989 for the placement of -nodes in a control flow graph is still widely used in commercial compi...
Angela French, José Nelson Amaral
ICIP
2003
IEEE
14 years 9 months ago
Sparse decompositions in "incoherent" dictionaries
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse representations of signals/images in a union of two orthonormal bases. We conside...
Morten Nielsen, Rémi Gribonval