Classification Based on the Support Vector Machine, Regression Depth, and Discriminant Analysis.
Andreas ChristmannPaul FischerThorsten JoachimsPublished in: COMPSTAT (2002)
Keyphrases
- discriminant analysis
- support vector machine
- support vector
- discriminant functions
- feature extraction
- linear discriminant analysis
- kernel principal component analysis
- fisher linear discriminant analysis
- classification and regression trees
- quadratic discriminant analysis
- svm classifier
- support vector machine svm
- partial least squares
- dimensionality reduction methods
- face recognition
- feature vectors
- multi class
- classification method
- class separability
- discriminant subspace
- support vector regression
- generalized linear
- feature selection
- fisher criterion
- feature space
- classification algorithm
- regression problems
- decision boundary
- image classification
- principal component analysis
- kernel discriminant analysis
- pattern recognition
- classification accuracy
- kernel function
- dimension reduction methods
- unsupervised learning
- machine learning
- dimensionality reduction
- decision trees
- supervised learning
- model selection
- k nearest neighbor
- training set
- dimension reduction
- cross validation
- neural network
- nearest feature line
- kernel methods
- fisher discriminant analysis
- discriminant function
- hyperplane
- data sets