Sentence examples for face category from inspiring English sources
Given the significant adaptive value of accurately detecting aggressiveness based on facial appearance, we hypothesized that aggression estimates made by adults and 8-year-old children would be highly correlated with male facial width-to-height ratio even for a face category with which they had minimal experience — other-race faces.
"Women have grown up with Cover Girl, which has maintained dominance in the face category for many years, while Revlon became a strong contender with their age-defying business, and L'Oréal holds a very strong position in the category, based on their strong skin-care credentials".
On the contrary, neural responses to an exemplar target differed more reliably based on target location than did neural responses to a category target, as measured by peak classification accuracies or classification accuracies averaged over the expected latencies of target selection, regardless of whether the target belonged to a human or non-human face category.
Another factoid to put under the "wipes the smile off an iPhone user's face" category.
It seems this particular item does not belong in the Egg On My Face category after all.
This is a large-scale dataset, in which both the airplane and motorbike categories contains 800 images, and the face category contains 435 images.
JAMES DICARLO: I'm thinking about face categories.
Levin, D. T. Race as a visual feature: Using visual search and perceptual discrimination tasks to understand face categories and the cross-race recognition deficit.
Individual differences in the face categories represented in the visual environment can lead to category-specific deficits for recognizing faces that are atypical of observer's experience (e.g. the other-race effect).
Frontiers in Human Neuroscience Vol 4 (February 2010) Art. 1. Infant face processing becomes more selective during the fi rst year of life as a function of varying experience with distinct face categories defined by species, race, and age.
As can be seen, LOCUS [8], ClassCut [9] and Arora et al. [10] achieve better performance on the horse, motorbike and face categories, respectively.
