Pain Classification Using Statistical Feature Extraction Using Machine Learning Approach: A Pilot Study.
SudimantoAgung TrisetyarsoIman Herwidiana KartowisastroWidodo BudihartoPublished in: ICCSCE (2023)
Keyphrases
- pilot study
- feature extraction
- machine learning
- pattern recognition
- feature selection
- pattern classification
- machine learning methods
- image classification
- decision trees
- supervised machine learning
- support vector machine svm
- feature extraction and classification
- machine learning algorithms
- maximum entropy modeling
- model selection
- support vector machine
- pilot project
- classification method
- feature set
- feature space
- supervised learning
- extracted features
- statistical methods
- feature vectors
- classification accuracy
- image processing
- extracting features
- preprocessing
- statistical analysis
- text classification
- image feature extraction
- unsupervised learning
- face recognition
- dimension reduction
- text mining
- data mining
- feature representation
- supervised classification
- fisher linear discriminant
- kernel methods
- machine learning approaches
- discriminant analysis
- class labels
- semi supervised learning
- information extraction
- wavelet transform
- natural language processing