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As mentioned above, each temporal subnet is the minimal element set at time x; and next (ii) Applying Algorithm 2 to the outputs of Algorithm 1, we construct the ASTD.
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Of course, the outputs of algorithms do interact with each other, so modification of a segmentation algorithm that leads to a different segmented image may lead to a different image skeleton.
The output of Algorithm 2 is the starting point of these three algorithms.
(b) The output of algorithm using one background frame and a frame including moving object.
The starting point is the output of Algorithm 2. Algorithm 4 computes correctly and returns the three expected values.
For more clarity, we also give the output of Algorithm A for problem HS8 in Table 3.
It assumes the output of Algorithm 5 as input and returns IL of anonymized data, k value of k-anonymization and published data (mathcal {D'}).
Assume that K 1 ( 1 ) is the optimal covariance matrix in (26), and let K ̂ 1 ( 1 ) be the output of Algorithm 1.
The output of Algorithm 2 is an array M shown in Fig. 3. Two operations are performed in the algorithms "Maximum_Suffix_Propagation and Maximum_Prefix_ Propagation" (they are called from Algorithm 2), both consisting of a maximum propagation.
Similarly, let be the output of Algorithm 2 GreedyWeight.
The output of Algorithm 1 is a complete valid k-mer group set, denoted as K.
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CEO of Professional Science Editing for Scientists @ prosciediting.com