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We propose a new, spectral discretization of these diffusion-generated methods which obtains greatly improved efficiency over the usual finite difference approach.
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Subspace system identification methods refer to the category of methods which obtain state space models from subspaces of certain matrices constructed from the input-output data [1].
First, a greedy method which obtains good approximations in short computational times is proposed.
It is a heuristic method which obtains a partition in a very efficient manner computationally but may miss the optimal partition.
In this paper, we discuss the phone-space speaker adaptation method, which obtains good performance when the adaptation data is sufficient.
Choi and Choi proposed a three-step biomedical article retrieval method, which obtains the best run in the TREC 2014 CDS task [6].
The proposed methodology evaluates the power quality state estimation using the enhanced numerical differentiation (END) method, which obtains the periodic steady state solution of a power network.
Instead of monitoring the machine under constant working load, FCFT introduces a new testing method which obtains data during the transient periods of different working loads.
Tail equivalent linearization method is based on first order reliability method, which obtains an equivalent linear system for the considered nonlinear problem with equal tail probability related to a specified threshold and time.
For user localization, HD4AR uses a computer vision-based and model-based method, which obtains detailed information from pre-reconstructed 3D point cloud models built from daily construction photos, and estimates the location of a field engineer's camera using these models.
To achieve depth resolved spectroscopic analysis, we use the dual window (DW) method, which obtains simultaneously high spectral and depth resolution, and yields access to the local oscillations [ 12].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com