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Among the numerous vibration based damage detection methods, some are using dynamically measured flexibility matrix to detect and locate damage in the structure.
Then user uses as its receiver processing matrix to detect out of the total transmitted data streams.
Willems et al. [18] use spatio-temporal Hessian Matrix to detect interest points and the extended SURF (ESURF) descriptor for describing features around the detected points.
BioDICE is then used to process the features × patterns matrix to detect and visualize clusters of molecular compounds, where similarity is computed with respect to the frequent fragments.
Additionally, when comparing Drosophila with human introns in Supplementary Figure S1 we used the Drosophila consensus matrix to detect RP-sites in fruit fly and the human consensus matrix to detect RP-sites in Homo sapiens.
Clustering [46] was applied to the species-by-plot matrix to detect groups of plots with similar species composition based on Bray-Curtis distance calculated from relative abundance (percent basal area by species), using group averaging as the linkage method [47].
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This unambiguously established the capability of new matrices to detect the less abundant analytes.
Homology search algorithms employ amino acid substitution matrices to detect similarity between proteins sequences.
Accordingly, we proceed as follows: after computing S+ and S−, we use these matrices to detect potentially explainable edges.
ORFs were predicted by using the Diogenes software which was trained with ORFs from several species, thus generating multiple matrices to detect ORFs in plant sequence datasets [ 36].
In particular, we exploit the distance preservation property of the sensing matrix A to detect anomalous targets from projection measurements.
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