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This shows that color alone is a weak clue for elephant detection.
In Section 3.3 we point out that color is only a weak clue for the detection of elephants and that many false-positive detections are generated during color classification.
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Even if we compensate for camera motion, the remaining object motion of elephants provides only weak clues since elephants move slowly and often remain stationary for a long time.
Denote the weights for the strong- and weak-clue sets by wS and wW respectively.
Assume there are mS and mW SNPs in the strong- and weak-clue sets.
Similarly, in the weak-clue set, there are m0,W and m1,W SNPs following null and alternative hypotheses respectively.
SNPs in the strong-clue set are assumed to have higher disease risk than those in the weak-clue set.
Two optimal weights for the strong- and weak-clue sets, 7.77 and 0.001, were ultimately obtained by the default settings on KGG.
SNPs were marked with risk scores and separated into the strong- and weak-clue sets based on the integrated knowledge in our dataset.
After the assignment of the risk scores, a risk score cutoff, four, is used to divide SNPs into two distinct sets, the strong- and the weak-clue sets.
SNPs with risk scores equal to or over four belong to the strong-clue set and the remainders are put into the weak-clue set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com