Detecting Premature Ventricular Contraction by Using Regulated Discriminant Analysis with Very Sparse Training Data.
Per LynggaardPublished in: Appl. Artif. Intell. (2019)
Keyphrases
- discriminant analysis
- training data
- fisher discriminant analysis
- linear discriminant analysis
- face recognition
- feature extraction
- principal component analysis
- data sets
- high dimensional
- training set
- decision trees
- learning algorithm
- generalized linear
- fisher linear discriminant analysis
- sparse representation
- factor analysis
- scatter matrices
- cluster analysis
- sparse coding
- neural network
- discriminant projection
- dimensionality reduction methods
- partial least squares
- training samples
- supervised learning
- image processing
- feature selection