Support vector machines for interval discriminant analysis.
Cecilio AnguloDavide AnguitaLuis González AbrilJuan Antonio OrtegaPublished in: Neurocomputing (2008)
Keyphrases
- discriminant analysis
- support vector
- linear discriminant analysis
- learning machines
- large margin classifiers
- face recognition
- feature extraction
- kernel function
- principal component analysis
- factor analysis
- fisher linear discriminant analysis
- fisher criterion
- support vector machine
- svm classifier
- partial least squares
- binary classification
- graph embedding
- dimensionality reduction methods
- generalized linear
- feature selection
- class separability
- discriminant subspace
- kernel discriminant analysis
- neural network
- cross validation
- maximum margin
- kernel principal component analysis
- support vectors
- support vector regression
- hyperplane
- discriminant functions
- kernel methods
- pattern recognition
- fisher discriminant analysis
- learning algorithm
- machine learning