A Random Extension for Discriminative Dimensionality Reduction and Metric Learning.
Adrian Perez-SuayFrancesc J. FerriJesús V. AlbertPublished in: IbPRIA (2009)
Keyphrases
- metric learning
- dimensionality reduction
- discriminative information
- semi supervised
- margin maximization
- distance metric learning
- distance metric
- feature extraction
- feature selection
- unsupervised learning
- pairwise
- principal component analysis
- data representation
- high dimensional
- low dimensional
- high dimensional data
- kernel matrix
- pattern recognition
- feature space
- dimensionality reduction methods
- manifold structure
- mahalanobis metric
- learning tasks
- data points
- linear discriminant analysis
- multi task
- euclidean distance
- semi supervised learning
- similarity measure
- image processing
- manifold learning
- distance function
- linear transformation
- latent space
- locally linear embedding
- support vector
- machine learning