Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent.
Katrina Yezzi-WoodleyAlexander TerwilligerJiafeng LiEric ChenMartha TappenJeff CalderPeter J. OlverPublished in: CoRR (2022)
Keyphrases
- feature set
- machine learning
- feature selection
- classification models
- machine learning algorithms
- multi agent
- classification accuracy
- data mining
- machine learning methods
- extracted features
- random forest
- support vector
- feature extraction
- decision trees
- computer vision
- structural features
- principal components
- feature selections
- model selection
- probabilistic model
- feature vectors
- image retrieval
- pattern recognition
- learning algorithm