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To overcome this difficulty, several authors proposed several various of adaptive methods, which permit the step size τ n to be selected self-adaptively; see [7 9].
fast and adaptive methods; 6.
Cage Active Contours are adaptive methods with no learning.
Among these adaptive methods stand empirical mode decomposition (EMD).
Figure 22 Total throughput comparison for basic and adaptive methods.
The application of adaptive methods within PIC is discussed.
These include finite impulse response, infinite impulse response, transform-domain, and spatially adaptive methods.
Further steps to come will be on higher order and fully mesh/order adaptive methods.
For the constrained optimization problems, several adaptive methods can be chosen as shown in [12].
In deriving Figure 11, adaptive methods were employed for the different stages of the divider.
Furthermore, almost all the adaptive methods rely on some hyper-parameters.
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