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Most existing algorithms are based on the minimization of an L2-norm loss function.
Most existing algorithms include all of the line parameters for the feeder.
However, most existing algorithms cannot achieve computational efficiency and accuracy simultaneously.
Most existing algorithms are usually not sufficiently selective and quite a large number of probes are returned.
However, most existing algorithms are based on Airy theory or empirical formula from the angular spectrum of the rainbow.
It can be seen that, in order to extract representative expression facial features, most existing algorithms tried to integrate label information via different constraints to derive supervised NMF.
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As shown previously (Xie and Bourne, 2008), a weighted scoring scheme as used by SOIPPA outperforms a non-weighted vertex matching method as used by most-existing algorithms.
Moreover, unlike most existing RMPC algorithms, the proposed algorithm is guaranteed to remove steady-state offset in the controlled variables for setpoints (possibly) different from the origin when the system is unknown linear time-invariant.
Assume that there are at most d positive subsets whose sizes are at most s, existing algorithms either require Ω logsn) tests for general n or O((s+dd logn) tests for some special values of n.
Most existing MP algorithms need to know the signal sparsity in advance, but some algorithms do not, such as StOMP algorithm, SWOMP algorithm, and SAMP algorithm which are the mostly the representatives of MP algorithms.
However, most existing sensing algorithms are less attractive.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com