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To compare the results of the proposed algorithm with those of other methods, we implemented the following algorithms: Algorithm A: Hierarchical system for objectionable video detection [12].
Section 2.6 describes the comparison methods we implemented in this study.
Methods: We implemented a program assessing internal radiation contamination using a whole body counter (WBC) measurement and a questionnaire survey in Minamisoma, between October 2011 and March 2012.
In addition to the above clustering methods, we implemented the following tree-based clustering algorithms: single linkage hierarchical clustering – HCL [ 23, 24], neighbour joining-NJ [ 25], and unweighted pair group method with arithmetic mean – UPGMA [ 26].
To demonstrate the methods we implemented the local and global Q statistics for clustering of residential histories, specifically the local test at time t, Q i, k, t (Equations 6), and its global counterpart Q k, t (Equation 10).
Consequently, to compare the predictive capability of our approach against other methods, we implemented prognostic models that differ in the way class-specific transcriptional association networks are inferred, and in the supervised classification methodology applied on the network information.
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In order to provide the performance analysis of the security of biohashes based on the feature approximation methods, we implement our proposed methods on a face verification setup.
To alleviate the off-grid problem in grid-based MP methods, we implement CTLS into the OMP framework and propose a new algorithm, namely AMP-CTLS.
This is the method we implemented, tested and compared to other classical methods.
Using this similarity method, we implemented a workflow with the following steps.
The first method we implemented [4] that allows this procedure employed a standard known as 10320/loc [10320/loc
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com