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Rather than callling attention to themselves, these are designed outwardly -- by minimizing the features and color choice -- to blend in".
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Here we use the parsimony principle (also known as Occam's razor) by minimizing the number of selected features.
For each unrelated biometric feature vector from the database, a new feature vector was estimated by minimizing the Euclidean distance between the new feature vector and the unrelated biometric feature vector subject to the consistency criterion (i.e., the new biohash created from the estimated feature vector exactly matches the original biohash).
Using simple fixed-size Gaussian windows as texture features, the algorithm segments an image by minimizing the overall coding length of all the feature vectors.
The proposed layerby-layer pruning algorithm also prunes more aggressively than previously proposed pruning methods by minimizing the error in the output feature maps instead of the filter weights.
For each method, the feature number was chosen by minimizing the average error rates.
Thus, feature extractors W are obtained by minimizing the objective function with backpropagation algorithms.
On each round, it chooses the pair of the optimal feature and its threshold value by minimizing the weighted error of classification [5].
On each round, it chooses the optimal classifier (optimal feature and its threshold value) by minimizing the weighted error of classification.
Once the optimal feature and its threshold are found by minimizing the weighted error, the next step is to update the weights.
The best number of features and parameters (C and γ) were obtained by minimizing the classification error of SVM based on 10 iterations of 10-fold cross-validation.
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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