Sentence examples for both matrices will be from inspiring English sources

Both matrices will be affected by the level of regularity of a targeted individual regarding the set of destinations that he/she tends to visit from one weekday to another similar weekday.

These inert matrices will be used in this experiment, which is representative for an OTTO scenario.

Algorithms for efficiently computing the pseudoinverse of sparse matrices will be presented in the second paper.

Then, PLI weighted matrices will be calculated from which minimum spanning trees (MST) will be constructed [3,4].

Finally, the comparison of different matrices will be presented.

In this part, the comparisons of numerical results with orthonormal Gaussian sensing matrices will be shown.

The comparison between these two matrices will be presented by experiments in the next section.

These pre-trained rotation matrices will be applied to the VLAD descriptor formation.

These two matrices will be designed later to fulfill the optimality requirement.

A variety of norms on real-valued vectors and matrices will be used.

A more elaborated design of these matrices will be then proposed.