Partitioning the feature space of a classifier with linear hyperplanes.
Mukund PadmanabhanLalit R. BahlDavid NahamooPublished in: IEEE Trans. Speech Audio Process. (1999)
Keyphrases
- feature space
- hyperplane
- linear classifiers
- high dimensional feature space
- linearly separable
- training samples
- input space
- feature selection
- data points
- high dimensionality
- classification accuracy
- piecewise linear
- feature vectors
- training set
- feature set
- kernel function
- support vector machine
- discriminant function
- input data
- mean shift
- svm classifier
- high dimensional
- linear features
- principal component analysis
- class labels
- low dimensional
- kernel methods
- linear discriminant analysis
- image representation
- feature maps
- multi class
- dimension reduction
- maximum margin
- minimum error
- high dimensional data
- feature subset
- neural network
- dimensionality reduction
- feature extraction
- linear svm
- text categorization
- image retrieval
- support vector
- generalized discriminant analysis