Classification in a normalized feature space using support vector machines.
Arnulf B. A. GrafAlexander J. SmolaSilvio BorerPublished in: IEEE Trans. Neural Networks (2003)
Keyphrases
- feature space
- classification accuracy
- feature vectors
- training set
- high dimensionality
- support vector machine
- feature selection
- decision trees
- feature extraction
- mean shift
- kernel function
- dimension reduction
- pattern recognition
- support vector
- classification method
- input space
- supervised learning
- feature set
- high dimensional feature space
- classification algorithm
- classification systems
- high dimensional
- classification scheme
- machine learning
- support vector machine svm
- training samples
- high dimension
- principal component analysis
- data points
- classification rate
- learning to classify
- pattern classification
- decision rules
- benchmark datasets
- unsupervised learning
- text classification
- recognition rate
- image classification
- preprocessing