This graph-based approach allows for an unambiguous definition of generic object-oriented metrics and higher-order metrics.
First-order metrics are typically histogram based and reduce the MTV to singular values describing the mean, minimum, maximum, median, and uniformity of the intensities within the MTV.
The SNR moments can be used to study the higher-order metrics, such as the skewness and the kurtosis that characterize the distribution of.
From the perspective of venture capital, there are two "first-order" metrics we could look at when assessing the overall health of the startup market in the U.S.: deal volume and dollar volume.
While metrics relying on the first moments of the Bingham distributions provide relatively robust results, second-order metrics representing the peak spread are only meaningful, if the SNR is very high and no fiber crossings are present in the voxel.
Chronologically ordered metrics can be inserted into the ring buffer in constant time.
Recently, many researchers have obtained fixed point and coupled fixed point results in partially ordered metrics spaces (see, e.g., [2 16]).
For results concerning fixed points and common fixed points in partially ordered metrics spaces, we refer to [16 22].
Recently, many researchers have obtained fixed point results for single- and set-valued mappings defined on partially ordered metrics spaces (see, e.g., [2 6]).
Recently, many mathematicians have considered fixed point, common fixed point, and coincidence point equations in partially ordered metrics spaces (see, e.g., [11 14]).
As a matter of fact, if an ordered vector space ( X, ≽ K ) is induced by a closed convex cone K in X, then from (1), d ( u, v ) ∈ K if and only if d X ( u, v ) ≽ K 0 ; and therefore, the ordered metrics on sets extend the concept of cone metrics.
