An Evaluation of Low-Rank Mahalanobis Metric Learning Techniques for Hyperspectral Image Classification.
Brian D. BuePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- metric learning
- low rank
- semi supervised
- kernel matrix
- distance metric
- pairwise
- convex optimization
- missing data
- mahalanobis distance
- learning tasks
- distance function
- linear combination
- singular value decomposition
- dimensionality reduction
- semidefinite programming
- semi supervised learning
- multi task
- matrix factorization
- high order
- feature space
- supervised learning
- data mining
- image processing
- high dimensional data
- unsupervised learning
- low dimensional
- active learning
- high dimensional
- kernel methods
- similarity search
- manifold learning
- higher order
- similarity measure
- feature extraction