Sentence examples for gender classifier from inspiring English sources

We compare performance for the various factors: across codes, gender, classifier type, and feature type.

For each of the three view categories, we use the following testing protocol: (i) per subject, discard the two orientations that do not have to be tested, (ii) train a gender classifier using all the cycles belonging to the two orientations that do not have to be tested, and (iii) test with the cycles of the subject belonging to the testing orientation.

This procedure resulted in n1 = n2 = 40 for face vs. checker classifier and n1 = n2 = 80 for emotion or gender classifier.

The simplest age and gender classifiers were employed for preliminary distribution of uploaded images by the corresponding attributes.

We then trained a linear pattern classifier to classify facial expression or gender on the basis of V1 data from 'eye' and 'mouth' regions, and from the remaining non-diagnostic V1 region.

The Algonquian language of Ojibwe has both a gender system and a classifier system.

The study examined the cost-effectiveness of various screening methods for colorectal cancer in different population subgroups in the USA, using age, gender and race/ethnicity as classifiers for stratification.

A feature fusion process is subsequently conducted to obtain a more robust and discriminative feature, which is then fed to a softmax classifier for pedestrian gender recognition.

Figure 16 Stability test of the GMM emotion classifier for male gender; obtained scores (upper set of graphs), and finally determined class of emotion (bottom set); feature set P3, N gmix = 6, N iter = 1200; tested sentence expressed by the male speaker in neutral and emotional styles.

Figure 17 Stability test of the GMM emotion classifier for female gender; obtained scores (upper set of graphs), and finally determined class of emotion (bottom set); feature set P3, N gmix = 6, N iter = 1200; tested sentence expressed by the female speaker in neutral and emotional styles.

The authors of article [12] propose first to classify people by gender and approximate age range and then apply a specialized age classifier for the selected gender group.