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Existing techniques design the optimal switching surfaces based on a singular sample evolution of the system; hence providing a solution dependent on the initial conditions.
Despite the development of new technologies, to date, no protocols are available to extract all targeted metabolites in a singular sample preparation due to their broad dynamic range and their diverse chemical properties.
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By this algorithm, the "singular" samples will be eliminated according to the classification accuracy and the features that facilitate the classification will be enhanced.
Serial blood samples were drawn from septic patients, and singular samples were obtained from critically ill non-septic patients and healthy controls.
One is in real-time hyperspectral image classification, where the number of linearly independent pixels received for classification must be larger than the data dimensionality (i.e., the number of spectral bands) in order to generate a non-singular sample correlation matrix R for the classifier, and relaxing this limitation can help to resolve the aforementioned first issue.
Power spectrum entropy, wavelet energy entropy, singular entropy, sample entropy, and Renyi entropy compose the input datasets.
In the nearly singular design, the sample variance converges to a singular limit term.
Active steganalysis methods are powerful in length estimation such as regular singular (RS) and sample pairs analysis (SPA) steganalysis schemes, but they would become invalid in frequency domain.
Several studies found that singular thawing of samples, or recurring thawing and freezing of samples can lead to DNA degradation [43 45].
The singular problem of small sample inverse covariance matrix estimation.
Figure 13 The solution for singular problem of small sample inverse covariance matrix estimation.
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