Keyphrases
- feature space
- metric learning
- high dimensional
- riemannian manifolds
- feature selection
- metric space
- dissimilarity measure
- hyperplane
- principal component analysis
- image retrieval
- distance measure
- low dimensional
- distance metric
- dimensionality reduction
- classification accuracy
- information retrieval
- training set
- feature vectors
- data points
- image representation
- kernel function
- mean shift
- input data
- high dimensionality
- input space
- support vector
- feature extraction
- feature set
- discriminating power
- euclidean metric
- kernel pca
- similarity metric
- dimension reduction
- linear discriminant analysis
- kernel methods
- distance function
- genetic algorithm