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Using the conventional deep convolution network based on region proposal for detection, there are many negative samples in the generated region proposal, which will affect the model detection precision and efficiency.
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If we could build a model that would capture that observation, then it might be possible to improve detection precision and increase robustness to poor motion and texture.
If a reduced model ignoring epistasis and gene-environment interaction is employed, the resulting GWAS would give biased estimation of effects, poor detection precision and power, and low heritability to explain variation of complex traits [ 34– 34].
In contrast, our approach has much higher detection precision.
The main problem is the unsatisfactory detection precision.
Figure 5 Detection precision-recall curves.
Steady and sure, a model of precision.
Still, Taylor is a model of precision compared to Bowker.
Data smoothing did not increase model fit precision.
Advances in modeling including optimization, product modeling, fault detection and diagnostics, inverse models.
(1) Model precision is a necessary prerequisite for model accuracy.
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