Sentence examples for target observation from inspiring English sources

Exact(11)

The optimization objective of maximum target observation time is considered, which is constrained by the priority and minimum observation duration of each target site.

Next, we discuss the target observation model.

For that class of applications, effects such as object occlusion are important and must be explicitly incorporated into the target observation model.

The metric used to define statistical distance is calculated as one minus the proportion of trees where a target observation is in the same terminal node as a reference observation (Crookston and Finley 2008).

The similarity between the ith target observation and jth reference observation was quantified by means of the Euclidian distances calculated in the feature space as: d_{ij} = sqrt {(x_{i} - x_{j} )^ (x_{i} - x_{j} )} (5 where x i and x j are the feature vectors.

Hence, the similarity between the target and reference observations will increase as the d ij distances decrease, and consequently the nearest neighbor of the (i{text{th}}) target observation is the reference observation located at the shortest Euclidian distance in the feature space.

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Similar(49)

In ELM-based pairwise training, two constraints are enforced: the target observations must have different regression outputs from those background ones; while the various target observations during tracking should have approximate regression outputs.

The 89 plots are called reference observations and the gridded cells are called target observations [35].

Digital Audio Broadcasting (DAB) [3] 0.2 1.5 Digital Video Broadcasting – Terrestrial (DVB-T) [3, 6] 0.4 0.75 0.6 0.50 LEO satellite communication [7] 1.5 0.2 Mobile Cellular Radio (MCR) [8] 0.9 0.33 Short to medium range air targets and local vicinity surface target observations.

The 89 plots are called reference observations and the gridded cells are called target observations [ 35].

Together, these 21 parameter sets (in the following referred to as the "guideline sets") are used to identify the direction or localised region of the parameter space that allows the model to best match the target observations.

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