Sentence examples for more robust detection from inspiring English sources

Exact(13)

Increasingly sophisticated and more robust detection systems will decrease instrumental uncertainty in the location and timing of detected events and improve the quality of information that can be obtained from nuclear imaging probes.

As the complexity of the attacks keeps increasing, new and more robust detection mechanisms need to be developed.

Implementing and integrating more feature extractors within the framework will result in more robust detection and updatability capabilities.

Thus, it is possible to replace antibodies with aptamers to develop a more robust detection tool for tetanus toxoid.

In most crop-and-paste tampering detection applications, both kinds of approaches are applied together to provide a more robust detection result.

Using such high percentiles compensates for colour balance issues only if they show in the very high intensity range, which results in a more robust detection for varying lighting and colour balance.

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Similar(47)

We exploit the implicit spatial coherences in the subgraphs to refine the segmentation to obtain more robust detections.

Experimental results show that the proposed multi-view face detector, which can be constructed easily, gives more robust face detection and pose estimation and has a faster real-time detection speed compared with other conventional methods.

Implementing a more robust spam detection system for the platform is no small effort, though Google is well-versed in this technology thanks to its other products like Search and Gmail, for example, which require the company to be able to filter good content from the bad.

But in contrast to the method proposed in [17] we were able to achieve a more robust pit detection by modifying the underlying local binary patterns (LBP) operator variant.

The proposed approach not only significantly improves the performance of the voting scheme, but also produces a much cleaner voting map and makes the transform more robust to the detection of spurious lines.

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