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In our scheme, we use the stationary GG model in the embedding stage, and the estimate shape parameter for γ = 0.65, and width of window is 1.
This allows to estimate shape probabilities by sampling and comparing them with their exact computation via (1).
Sampling of structures to estimate shape probabilities can be done very fast, but the results are not exact.
For example, scans that have been used for the measurement of individual area of successive leaves on a rosette can be re-analysed to estimate shape parameters of the same leaves; similarly, leaf sections that have been used in the estimation of leaf thickness can be used in the measurement of vein diameter.
Similar(56)
Networks were developed in order to estimate shapes of the wave spectra out of the given values of representative wave height, period, spectral width and peakedeness parameter.
Presented results show that such 3D Raman micro-spectroscopy allows to estimate shapes and sizes of distributed particles even for materials giving very weak Raman signal.
The estimated shape changes show quantitatively good agreement with the experimental ones.
A prior work suggested to touch the most uncertain part of the estimated shape for minimizing the required number of touches.
Experimental results verify the effectiveness of our method for fast tactile object shape estimation as compared to passive exploration and active exploration that touches the most uncertain part of the estimated shape.
Experiments using the FBG sensors and RF coils to track the needle shape and location in real-time had an average root mean square error of 4.2 mm when comparing the estimated shape to the needle profile as seen in high resolution MR images.
Model identification is effectively dealt with through an optimization scheme that decomposes the identification problem into two subproblems: estimating model parameters via two-stage least squares (2SLS) method and estimating shape function parameters via a discrete-continuous-variable hybrid optimization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com