Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers.
Matthew S. NoklebyMiguel R. D. RodriguesA. Robert CalderbankPublished in: IEEE Trans. Inf. Theory (2015)
Keyphrases
- grassmann manifold
- fundamental limits
- nearest neighbor classifier
- stochastic gradient
- subspace learning
- component analysis
- image set
- feature selection
- linear subspace
- training samples
- training data
- support vector
- nearest neighbor
- feature set
- distance measure
- dynamic time warping
- machine learning algorithms
- motion estimation
- decision trees
- image processing