High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories.
Stephen José HansonArielle SchmidtPublished in: NeuroImage (2011)
Keyphrases
- high resolution
- face images
- human faces
- low resolution
- facial expressions
- naive bayes
- high frequency
- training data
- facial images
- multiresolution
- field of view
- statistical tests
- learning algorithm
- satellite images
- facial features
- svm classifier
- regression model
- machine learning algorithms
- super resolution
- classification accuracy
- object recognition
- high quality
- image processing