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Exact(7)
The first method is local in nature and relies on context-based smoothing of the tile boundaries.
The method is local in that the QBX expansions only involve information from a neighborhood of the target point.
The approach of this method is local and adaptive as the basis set for the decomposition is derived from the data itself.
The configuration adopted for LICOD is the following: Centrality metric is betweenness centrality, Voting method is local Kemeny, (sigma =delta =0.9), and (epsilon =0).
In contrast to previous techniques, our method is local in space and time, deterministic, and avoids a priori assumptions on the frequency spectrum of the signal.
The first method is local in that each of the tiles that constitute the view, is subjected to one of the three context-based smoothing functions proposed for horizontal, vertical, and radial smoothing, depending on its localization in the tessellation.
Similar(52)
Compared to the traditional anchored neighborhood regression methods, the traditional methods are local optimization, while our proposed network is an end-to-end global optimization.
Another attractive feature of the new technique is that the converged solution obtained with the local-in-time method is a local extremum of the original optimization problem.
Local versus global indicates if the method is for local graph alignment or global graph alignment.
Seed-expanding method is a local search method and has low time complexity.
To capture features in these signals, it is necessary for the analysis methods to be local, adaptive and stable.
Related(20)
procedure is local
mode is local
method describes local
approach is local
approaches is local
method is community
method is decentralized
method is simple
method assigns local
method becomes local
method is crucial
method is different
method is rudimentary
method is ideal
method is perfect
method is two-pronged
method is deplorable
method is classical
method encodes local
method has local
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