Feature extraction with mixture gaussian for stroke classification.
Williana L. S. LeiteRóger M. SarmentoCarlos M. J. M. Dourado JúniorPublished in: SIBGRAPI (2022)
Keyphrases
- feature extraction
- feature vectors
- pattern classification
- feature space
- feature selection
- image classification
- support vector machine svm
- feature extraction and classification
- pattern recognition
- extracted features
- automatic classification
- preprocessing
- classification method
- image processing
- image feature extraction
- dimension reduction
- supervised learning
- classification accuracy
- gaussian mixture model
- feature representation
- machine learning
- classification algorithm
- feature set
- dimensionality reduction
- svm classifier
- decision trees
- mixture distribution
- neural network
- learning algorithm
- extracting features
- covariance matrices
- classification scheme
- face recognition
- training data
- gaussian distribution
- classification models
- support vector
- principal component analysis
- discriminant analysis
- linear discriminant analysis