Sentence examples for detection goal from inspiring English sources

The system architecture presented uses collaboration in order to achieve the anomaly detection goal.

Aside from more money for research into NEOs and ways to deflect them, the report points to two approaches to achieving Congress's detection goal.

This detection goal is very challenging due to the presence of various types of image anomalies like dislocation clusters, grain boundaries, and other artifacts due to the spurious discontinuities in the gray levels.

The more rapid the detection goals, the shorter the temporal scale of data collection and reporting required to support those goals.

(1) Edge detection: the goal of edge detection is to produce a line drawing of an image.

Disjoint communities detection: The goal here is to compute a partition of the graph node's set.

In anomaly detection, the goal has always been to distinguish background from potential targets in an automatic fashion while jointly minimizing false alarms and maximizing true positives.

In watermark detection, the goal is to determine whether a specific watermark exists or not, and the detection criteria are mainly based on Neyman-Pearson Theorem (i.e., maximizing the probability of detection for a given probability of false alarm).

Overlapping communities detection: The goal is to compute soft clustering of the graph node's set where a node can belongs to several communities at once [61, 64, 77, 87, 88].

A quick review of the scientific literature allows to distinguish three different, but related problems: Disjoint communities detection: The goal here is to compute a partition of the graph node's set.

The original detection limit goal for the assays was 1 pg in the pure plasmid environment and 1 ng for plasmid in the presence of 200 ng human genomic DNA (data not shown), when cycling the PCR reaction at 35 cycles.