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If (g_0) is a subRiemannian metric on (V^1) we let (d_0) denote its corresponding CC metric, and (X_1,ldots,X_m) a left-invariant orthonormal basis of (V^1).
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(Photograph: TerryJohnston, Flickr CC).
CC is the metric which finds out the correlation between two images by evaluating the difference between the mean and gray value of the individual pixels.
The quality metric CC 1/2 also converged within the first three macrocycles.
For each specified target function and refined parameter, changes are plotted relative to the previous macrocycle, whereas the quality metric CC 1/2 is shown as absolute numbers.
Therefore, cross-carrier PF scheduling across multiple CCs is recommended when calculating the scheduling metric in each CC [14].
CC = the LiDAR metric 'canopy cover'; i.e. the % of pixels above 3 m in height.
The coefficient of variation of the voxel values within the white matter VOI (size of VOI ~2.5 cc) was used as metric for image noise.
Photograph: gillyberlin, Flickr CC.
Woody canopy cover (CC) is the simplest two dimensional metric for assessing the presence of the woody component in savannahs, but detailed validated maps are not currently available in southern African savannahs.
There is no significant deviations of CC between the proposed NR overall metric (OQA) and SSIM.
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