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We verified via the cross verification scores that no duplicate of any imposter is included.
This paper proposes a weighted power series model for face verification scores fusion.
Essentially, a linear parametric power series model is adopted to directly minimize an approximated total error rate for fusion of multi-modal face verification scores.
The verification scores are computed by comparing the likelihood of two different models which describe the relationship between the training and test i-supervectors (or i-vector) through the use of PLDA model.
One has to keep in mind that the smaller d is chosen, the greater the likelihood becomes that a decision is considered to be confident but is in fact due to low verification scores derived from poor-quality images.
Furthermore, the verification scores viz., DOPE Discrete Optimized Protein Energyy) score, DOPE-HR (High Resolution) score, Verify score and the potential energies of the modeled structures (Additional file 6) revealed high quality of the generated models.
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Assuming that a fingermark is compared against a reference database containing N distinct fingerprints, a verification score S j is returned for every comparison.
For every fingermark, a verification score for each print in the reference database R VP∪R FVC (containing 370 prints) is computed and the ccID fingermarks are identified.
Melody information is extracted from an input song using several pieces of information of the hypothesis, and a total score is calculated from the recognition score and the verification score.
In addition, we provide an analysis of the computational complexity associated with the i-vector and i-supervector at four different stages: loading matrix estimation, i-vector and i-supervector extraction, PLDA model training, and verification score calculation.
A bi-gram model was employed to compute the probability P DS t |DS H ). Combining with the word verification score as well as the probability P(Ŵ|U), the most likely DS* can be obtained.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com