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We tested three methods to measuring confronts’ family member similarity to confronts of liberal and traditional other individuals:
Category applied L2-normalized face descriptors produced from face photographs using the VGGFace2 design in ResNet-50 structure, originally trained on a completely independent trial of over 3.3 million face images 24 .
Cosine similarity ratio: for every single face, we took the ratio between their typical cosine similarity with liberal faces and between their average cosine similarity with old-fashioned faces.
Logistic regression: Face descriptors are registered into LASSO logistic regression 38 aimed towards differentiating between liberals and conservatives. We used a 30-fold cross-validation so that predictions happened to be made by classifiers which have not observed certain participant earlier. Factor I± ended up being set-to 1; factor I? had been installed separately within each instruction arranged making use of tenfold cross-validation.
Sensory networking sites: Face descriptors are registered into a 30-fold cross-validated deep neural network targeted at classifying liberals https://datingmentor.org/nl/xmeeting-overzicht/ and conservatives. We examined a few circle architectures, the reliability couldn’t significantly exceed one supplied by two earlier, much simpler, approaches. Read the rest of this entry »
