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There are many models that use sparse and redundant representations over trained dictionaries.
Redundant representations, such as undecimated wavelets, have been extensively used for crack detection [26, 27].
The contribution to this paper of Michael Elad's course on sparse and redundant representations and Elad's advises are acknowledged.
It relies on the sparse model of compressed sensing, involving the sparse dictionary learning and redundant representations over the learned dictionary.
M Elad et al. also introduced sparse and redundant representations to signal and image processing[10 12], such as wavelet denoising, image reconstruction and restoration and feature selection in machine learning.
Central to the process of image restoration, using local sparse and redundant representations, is the solution to the following optimization problems [3, 5], α ^ i j = arg min α μ i j α 0 + Ψ α - R i j X 2 2, (2) X ^ = arg min x X - W 2 2 + λ D H X - Y 2 2. (3).
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Like the conventional wavelet transform, the LCWT is a redundant representation with a redundancy characterized by reproducing kernel equation.
These findings implicate that a less redundant representation of mood can be found.
The paper then analyses this model and related successful approaches, concentrating on and justifying their use of weak, redundant representation and reasoning.
We utilize a generalized Karatsuba algorithm (KA) to reduce the number of coefficient multiplications and the redundant representation to simplify polynomial modular reduction.
Redundant representation of the numerical solution in the CDG method offers great convenience in the design of gas-kinetic BGK fluxes.
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duplicate representations
redundant statements
redundant observations
redundant observation
redundant evidence
redundant statement
redundant comments
redundant threads
redundant cords
redundant ropes
redundant programs
redundant signals
redundant peptides
redundant pharmacophores
redundant combinations
redundant approaches
redundant words
outdated representations
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