Automatic Pain Intensity Recognition: Training Set Selection based on Outliers and Centroids.
Peter BellmannPatrick ThiamFriedhelm SchwenkerPublished in: ESANN (2020)
Keyphrases
- training set
- data points
- test set
- recognition rate
- object recognition
- recognition accuracy
- pattern recognition
- recognition algorithm
- training data
- feature extraction
- semi automatic
- classification accuracy
- outlier detection
- data sets
- automatic recognition
- facial action units
- classification algorithm
- activity recognition
- k means
- decision trees
- partial occlusion
- face images
- missing data
- action recognition
- supervised learning
- nearest neighbor
- active learning
- clustering algorithm
- training samples
- feature space
- computer vision
- facial expression recognition
- clinical data
- active appearance models
- learning algorithm
- neural network