Minimum density hyperplanes in the feature space.
Katie R. YatesNicos G. PavlidisPublished in: IEEE BigData (2016)
Keyphrases
- feature space
- hyperplane
- high dimensional feature space
- data points
- kernel function
- input space
- feature vectors
- training samples
- high dimensional
- mean shift
- low density
- feature selection
- dimensionality reduction
- support vector machine
- density function
- input data
- image retrieval
- kernel methods
- high dimensionality
- linear classifiers
- axis parallel
- decision trees
- dimension reduction
- low dimensional
- principal component analysis
- classification accuracy
- linear discriminant analysis
- arbitrary shape
- linearly separable
- object recognition
- feature extraction
- square error