Keep it Simple: Handcrafting Feature and Tuning Random Forests and XGBoost to face the Affective Movement Recognition Challenge 2021.
Vincenzo D'AmatoLuca OnetoAntonio CamurriDavide AnguitaPublished in: ACII (Workshops and Demos) (2021)
Keyphrases
- random forests
- random forest
- decision trees
- logistic regression
- machine learning algorithms
- object recognition
- recognition algorithm
- ensemble methods
- decision tree ensembles
- pose variations
- feature extraction
- face images
- image features
- randomized trees
- image classification
- test cases
- facial expressions
- feature vectors
- biometric systems
- face recognition
- head pose estimation
- computer vision