Compared to the remainder, the Continental Rise and Seamount sub-regions displayed distinct patterns of biodiversity structure, as they both demonstrated lower taxonomic breadth (i.e. diversity) and greater than expected variation in taxonomic distinctness in their species lists.
For both latitude and depth, the two taxonomic distinctness measures showed patterns that differed from more traditional diversity measures, specifically species richness and evenness, for the same fish assemblage.
From this, it was revealed that all introns contained repetitive sequences; the distinctness of these patterns implied that each intron contained a different type of repeat sequence.
Then, PCA coordinate system is employed to compute pattern distinctness.
Finally, by integrating QDWD, pattern distinctness, and local contrast, a reliable saliency map for underwater images can be computed and estimated.
In this paper, we propose a novel framework for underwater image saliency detection by exploiting Quaternionic Distance Based Weber Descriptor (QDWD), pattern distinctness, and local contrast.
The pattern distinctness generalizes the Mahalanobis distance to an arbitrary number of classes, but also the case where there are no classes of trials because the design is described by parametric regressors.
Language relativity does not imply that the distinctness of distinct objects cannot go unnoticed.
To identify which taxa influenced patterns of taxonomic distinctness the most, we used two complimentary steps: analysis of taxonomic trees and exclusion of specific taxa from the calculation of both AvTD and VarTD.
Here we examined patterns of taxonomic distinctness in relation to latitude (ca. 32 48 °N) and depth (ca. 50 1220 m) for demersal fishes on the continental shelf and slope of the US Pacific coast.
