Adaptive Metric Dimensionality Reduction.
Lee-Ad GottliebAryeh KontorovichRobert KrauthgamerPublished in: ALT (2013)
Keyphrases
- dimensionality reduction
- metric learning
- data representation
- metric space
- high dimensional
- structure preserving
- principal components
- principal component analysis
- euclidean distance
- high dimensional data
- pattern recognition and machine learning
- high dimensionality
- distance metric
- low dimensional
- feature extraction
- pattern recognition
- image sequences
- manifold learning
- input space
- case study
- information systems
- kernel learning
- nonlinear dimensionality reduction
- learning algorithm
- data sets