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The present case extends the significance of genus of Fusarium as agents of keratitis and underscores the utility of molecular methods in verification of these emerging fungi in the human host [ 29].
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Experiment 1 evaluates the performance of the proposed method in verification mode.
Performance of the proposed algorithm is compared with a continuous noise tracking method, and another VAD method in speaker verification experiments, where five different noise types at five different SNR levels were considered.
In the third experiment we apply the correction method in a verification experiment, with a configuration often encountered in face recognition: a high number of samples with high dimensionality, where the number of samples is smaller than the dimensionality of the samples.
The computational time of this method for segmentation, feature extraction, and matching is high, and this method was used in verification mode.
Functional errors in analog portion of mixed signal circuits become more severe and improvements in verification methods are increasingly important.
Compared with one of the top performing methods in the 2004 Face Verification Competition (FVC2004), our methods demonstrate a clear advantage over existing methods in accuracy, computation efficiency, and memory cost.
Key milestones in this evolution, and the prospects for the use of formal verification methods in achieving enhanced dependability of future manufacturing software, are examined in this paper and presentation.
Practiced verification methods in most cases are still simple simulation and testing.
We have described the application of certain statistical methods in the presence of verification bias, and the problems with these methods when the analysis data set contains few false negatives.
The worst and best case execution time (WCET and BCET) often play an integral role in this relation especially the former, which has applications in traditional methods for verification of schedulability such as response time analysis [1].
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