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The model adaptation speed based on observed scene statistics could be improved in the future for faster adaptation of changed background and better persistency.
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Acoustic model adaptation.
The weight change rate σ controls the weight adaptation speed.
Thus, the maximum asymptotic length, N max, will determine the adaptation speed.
As depicted in the upper plot, a large window size results in a slower adaptation speed.
Half of these data were used for supervised model adaptation.
Some of them are based on a model adaptation technique.
The attenuation may be largely due to the limited response range and finite adaptation speed of retinal cones.
This indicates that the prefactors of the adaptation speed depend on the tails of the distribution.
For very large systems, the adaptation speed approaches a limiting value Vmax.
This implies that a nonzero variance increases the adaptation speed even for the periodic selection regime.
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