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And after the size of temporal steps reaches 13, classification accuracy becomes rather stable.
This figure shows relations between numbers of temporal steps, numbers of key poses and action recognition accuracies.
Figure 7 The relations between number of temporal steps, number of key poses and action recognition accuracy.
Then we take different spatial steps (see case I and case II) and temporal steps to compute the numerical solutions.
Any representation that we acquire in a series of temporal steps, such as hearing a sentence, will have unity across time (A104; A104).
The other temporal steps multiple of 0.5 s, and lower than 4.5 s, would give rise to circulating decimal temporal increments, which would result in an inaccurate analysis.
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Temporal step d is a critical factor.
Here h, τ are space and temporal step length, respectively.
We fix a sufficiently small temporal step size (tau=1/10000) and take different values of α again.
We also use cross validation to get optimal temporal step size d.
Let h and τ be the spatial and temporal step sizes, respectively.
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