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To address such issues, we first propose a coverage assessment considering both uniform coverage and maximum coverage, then design a trajectory segment selection scheme.
A new electroencephalogram (EEG) analysis system utilizing active segment selection and multiresolution fractal features is designed and tested for single-trial EEG classification.
Applying event-related brain potential (ERP) data acquired from the sensorimotor cortices, the proposed system consists of three main procedures including active segment selection, feature extraction, and classification.
The active segment selection is based on the continuous wavelet transform (CWT) and Student's two-sample t-statistics, and is used to obtain the optimal active time segment in the time frequency domain.
For the steps of thresholding and stable segment selection, the computational complexity is O(mn).
In the contour initialization stage, the stable segment selection and the fast marching method for contour initialization were used.
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The second place winner employed common spatial subspace decomposition (CSSD) with frequency band and time segment selections [30].
For all three segments, selection and clustering of lines into heterotic groups were stable across the full range of examined population sizes (Additional file 1: Table S1).
In this section, a procedure for segment-strategy selection is developed in ten steps to select the best potential segment with its strategies by considering an acceptable risk and in five competitive forces factors which have been developed by Porter (1980).
We propose a segment leader selection mechanism to reduce the number of relay nodes.
The main contributions of the paper are as follows: We propose a segment leader selection mechanism to reduce the number of relay nodes.
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