Sentence examples for of a given left from inspiring English sources

Exact(2)

Once the deep deconvolutional network is trained, we can use it to infer the multilayer features of a given left I L and right I R stereo images for which we want to estimate the dense disparity map.

We can define the LI as: L I = T L − T R T L + T R (2 where T L is the mean concentration of ΔtHb of a given left channel of PFC in resting-state; T R is the mean concentration of ΔtHb of a given right channel of PFC in resting-state.

Similar(57)

In order to simplify the writing, the processing process is described for the FRP sEMG response of a given left-right sensor, noted s k,u [n].

In these figures, the ID of the region on the left (right) of a given line is more (less) than the ID value on that given line.

Here the belief degree represents the degree with which we believe the indeterminacy quantity falls into the left side of a given point about the indeterminacy phenomena.

all the channels where the probability of selecting a given channel was (p_{i}left (1-p_{text {fa}} right) {p^{s}_{i}}) which gave us the result given in Equation 1.

end{aligned}Applying a change of variables given by left translation by (-xi ^0) and using the left-invariance of X and Y reduces the left-hand side of inequality (3) to the case of (Pi _nu ={xi in mathbb {H}^1 : t=0}).

Let ({t_1,ldots,t_N}) be a given set of distinct points in (left[ 0,Tright] subseteq mathbb {R}).

The illusion that changing handedness is easier at a younger age comes from the fact that the higher the skill you have with your right hand, the lower the patience you have for a given amount of skill in your left hand.

The AC voltage and current of phase a are given as: left{ begin{array}{l} u_{text{a}} (t) = U_{m} sin (omega t) i_{text{a}} (t) = I_{m} sin (omega t - varphi ) end{array} right.

In this paper, our main goal is to find the disparity map (din mathbb {R}^{M times N}) for a given rectified pair of stereo images, left image (I_{L}in mathbb {R}^{M times N}) and right image (I_{R}in mathbb {R}^{M times N}).

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