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The maximum likelihood (ML) method, a common method in remote sensing owing to its robustness, was implemented to classify the images.
Since the traditional dictionary learning methods can be viewed as various extensions of the K-means clustering method, a common drawback of them is that they are prone to local minima, i.e., the efficiency of the algorithms depends heavily on either the samples type or the initialization.
In this method, a common 521-bp fragment was designed for both resistant and susceptible genotypes (Fig. 1).
In a departure from the original method, a common threshold was estimated for each fragment type rather than for each fragment separately.
We used the systematic modified Delphi method, a common and validated technique in which scientific evidence is combined with expert opinion [ 13, 14, 27, 28].
The over-representation analysis method, a common method to assess the enrichment of specific biological themes in a gene list [ 3], was used to determine the representative GO terms of a pathway.
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Thornthwaite method as a common method (Alesheikh et al. 2004), using groundwater depth and watershed evaporation, was used to calculate the depletion caused by evaporation.
Most importantly, as we are comparing two methods, a common measure is needed.
In spite to the wealth of information provided by functional profiling methods, a common limitation to all of them is their inherent unidimensional nature.
We therefore use influence-based methods, a common approach for linearized variance estimation of survey statistics [ 18], to derive variances for the lexpit model's risk estimates.
The global background method uses a common background value for each ROI.
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