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This updating strategy can effectively alleviate the influences caused by noise and occlusion.
The conventional updating strategy for an NIR model is based on new available samples.
Then an updating strategy for unclassified edges is designed to assign them to the closest cluster.
In addition we propose a sequential updating strategy to an orthogonal array based Latin hypercube sample.
In order to obtain more accurate solutions, a dynamic searching step length updating strategy is proposed.
A parallel updating strategy is employed to enrich the harmony memory diversity.
Similar(21)
Recently, Grünwald and Halpern have shown that commonly used updating strategies fail in this case, except under very special assumptions.
Based on the proposed updating strategies, algorithms are designed for dynamically updating probabilistic approximations with incomplete data.
This algorithm incorporates two updating strategies: MMax tap-selection [13] for complexity reduction and SP adaptation for fast convergence.
We analyze the behavior of the Newton-based nonlinear solver as a function of timestep size for different variable sets and for different nonlinear updating strategies.
The tap-selection matrix (5). in (3) determines the step-size gain for each filter coefficient and is dependent on the MMax and SP updating strategies for SPNLMS.
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