Sentence examples for landmark selection was from inspiring English sources

Landmark selection was performed by the four methods described in "Landmark selection criteria".

Therefore, the problem of landmark selection is to find a small set of highly significant landmarks which are discriminative to all the candidate routes.

Landmark selection is done manually since the quality of the perimetry fundus image turned out to be insufficient for automatic approaches.

However, initial landmark set selection is of prime importance, as the quality of results directly depends on measurements provided by landmarks.

This value can be predefined; thus, quality landmark selection can be automatically achieved.

Methods (a)–(d) ("Landmark selection criteria") were used to determine whether they are suitable for selecting a quality landmark.

In the approaches analyzed in this paper, landmark selection may be used at two levels: Pre-training landmark selection: first, a set of nodes that may be used as active or passive landmarks is considered.

The landmark selection process is introduced as follows.

Existing landmark selection criteria are quite biased according to different graph structures and applications.

(b_1 le 150) and (b_2 le 250) ("SIFT feature matching"), Thresholds for the area of feature region (S_s) and (S_l) ("Landmark selection procedure") were set to 2500 and 40,000, respectively.

Radius for investigating feature concentration ("SIFT feature matching") was set to (d le sqrt{10}) (b_1 le 150) and (b_2 le 250) ("SIFT feature matching"), Thresholds for the area of feature region (S_s) and (S_l) ("Landmark selection procedure") were set to 2500 and 40,000, respectively.