Sentence examples for degrade detection from inspiring English sources

The interferences from shadows and reflections usually shift skin color beyond thresholds and degrade detection performance if intensity-independent color spaces were used (Zhu and Cai, [2011]).

An optimal amount of added noise results in the maximum enhancement, whereas further increases in noise intensity only degrade detection or information content.

In order to achieve high throughput non-ML algorithms were introduced, having degraded detection performance and lower complexity.

Furthermore, a larger number of features can generate an over-fitting problem, which degrades detection performance.

Furthermore, a larger number of features can result in an over-fitting problem, which degrades detection performance.

Cooperative compressive spectrum sensing (CCSS) utilizing the sparsity of channel occupancy further improves the efficiency by reducing the number of reports without degrading detection performance.

We propose the MOMMP algorithms to reduce detection time without degrading detection accuracy, in which multi-candidate identification and orthogonal projection are respectively implemented in each iteration to detect several occupied channels and recover partial state data;   2).

We propose the MOMMP algorithms to reduce detection time without degrading detection accuracy, in which multi-candidate identification and orthogonal projection are respectively implemented in each iteration to detect several occupied channels and recover partial state data; We introduce two simple approaches to realize the multi-candidate identification.

Specifically, a practical 1% timing error with respect to pulse duration may degrade the detection performance by 20 dB (or even much) for impulse UWB [5, 29].

Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition performance, affect the related application in civil and military fields.

However, since this BoW method uses hard-assignment (i.e., a feature vector is assigned only to the nearest codeword), quantization errors often degrade the detection performance.