Feature Extraction and Random Forest to Identify Sheep Behavior from Accelerometer Data.
Natasa KleanthousAbir HussainWasiq KhanJenny SneddonAlex MasonPublished in: ICIC (3) (2020)
Keyphrases
- random forest
- feature extraction
- feature set
- accelerometer data
- random forests
- decision trees
- fold cross validation
- behavior recognition
- ensemble methods
- ensemble learning
- feature space
- feature importance
- multi label
- benchmark datasets
- data sets
- feature vectors
- activity recognition
- dimensionality reduction
- image processing
- base classifiers
- simulated annealing
- principal component analysis
- face recognition
- feature selection