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Combining these two algorithms, the proposed DIBR method solved the disocclusion problem well and achieved the spatial and temporal consistency.
This paper, using the finite difference method, solved the typical two-scale continuum model.
Implicit finite difference method solved the equations on the considered reactor length (50 cm) and diameter (20 cm).
Different from previous algorithms, this method solved the problem of relay beamforming in frequency selective environments, where a finite impulse response filter is used at each relay.
Hadizadeh and Asgary [11] using the bivariate Chebyshev collocation method solved the linear Volterra–Fredholm integral equations of the second kind.
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Our SDA method solves the problem of parameter independence completely.
The BoW method solves the visual burstiness by square-rooting and renormalizing the BoW vectors [25].
This method solves the more realistic problem of estimating the process and the weights.
The method solves the multiple functions problem in cognitive radar spectrum allocation.
In addition, this method solves the resource allocation problem by only one allocating process.
To a certain extent, the weighted search method solves the local optimization problem.
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