Metric Learning in Dimensionality Reduction.
Alexander SchulzBarbara HammerPublished in: ICPRAM (1) (2015)
Keyphrases
- metric learning
- dimensionality reduction
- distance metric learning
- high dimensional
- high dimensional data
- machine learning and pattern recognition
- low dimensional
- data representation
- principal component analysis
- feature space
- pattern recognition
- unsupervised learning
- data points
- linear discriminant analysis
- feature selection
- euclidean distance
- distance metric
- kernel matrix
- semi supervised
- dimensionality reduction methods
- manifold learning
- mahalanobis metric
- preprocessing step
- feature extraction
- multi task
- dimension reduction
- semi supervised learning
- pairwise constraints
- manifold structure
- multi class
- pairwise